HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Product Designer, Agentic Vulnerability Elimination Remote Location: London, UK Position Summary HackerOne is seeking a Senior Product Designer to join our growing team focused on Agentic Vulnerability Elimination. In this role, you will design intelligent, AI-powered experiences that help customers identify, prioritize, and remediate vulnerabilities more effectively across the software development lifecycle. You will lead the design of complex product experiences from discovery through delivery, partnering closely with product managers and engineers across our UK and Netherlands teams. This is an opportunity to shape how AI agents and human workflows come together to eliminate vulnerabilities at scale, while delivering intuitive, high-impact user experiences. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within 75 kilometers of London. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work. What You Will Do Design end-to-end product experiences for Agentic Vulnerability Elimination, from discovery through delivery, applying First Principles Problem Solving to break down complex security and AI-driven workflows into intuitive solutions Build and iterate on AI-powered user experiences, embedding an AI First mindset into design decisions and contributing to workflows that leverage LLMs and automation effectively Partner closely with product managers, engineers, and data partners across the UK and Netherlands to deliver high-quality, user-centered solutions that improve vulnerability remediation outcomes Use Data-Driven Decision Making to inform design choices, validate hypotheses through research and testing, and continuously improve product experiences based on measurable impact Demonstrate Change Agility by adapting designs in response to evolving product direction, emerging AI capabilities, and shifting customer needs while maintaining momentum Contribute to and evolve HackerOne's Design Language System, ensuring consistency and scalability across products Communicate design rationale, tradeoffs, and decisions clearly to stakeholders, balancing user needs, technical constraints, and business goals Mentor junior designers and contribute to a collaborative, feedback-driven design culture Minimum Qualifications 8+ years of UX and product design experience, preferably in B2B or enterprise software environments Demonstrated experience designing complex workflows and systems, with the ability to independently lead projects from concept to implementation Experience applying AI tools or designing AI-enhanced user experiences, with an understanding of responsible and effective usage Strong proficiency in user research, interaction design, prototyping, and usability testing, with the ability to translate insights into product improvements Preferred Qualifications Bachelor's degree in UX, HCI, design, or a related field Experience designing for cybersecurity, developer tools, or technical platforms (e.g., vulnerability management, DevSecOps, or similar domains) Familiarity with designing for AI agents, automation systems, or human-in-the-loop workflows Basic understanding of front-end development principles and constraints Compensation Bands: Tier Guide UK Tier: $100,000-$123,000 Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
25/05/2026
Full time
HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Product Designer, Agentic Vulnerability Elimination Remote Location: London, UK Position Summary HackerOne is seeking a Senior Product Designer to join our growing team focused on Agentic Vulnerability Elimination. In this role, you will design intelligent, AI-powered experiences that help customers identify, prioritize, and remediate vulnerabilities more effectively across the software development lifecycle. You will lead the design of complex product experiences from discovery through delivery, partnering closely with product managers and engineers across our UK and Netherlands teams. This is an opportunity to shape how AI agents and human workflows come together to eliminate vulnerabilities at scale, while delivering intuitive, high-impact user experiences. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within 75 kilometers of London. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work. What You Will Do Design end-to-end product experiences for Agentic Vulnerability Elimination, from discovery through delivery, applying First Principles Problem Solving to break down complex security and AI-driven workflows into intuitive solutions Build and iterate on AI-powered user experiences, embedding an AI First mindset into design decisions and contributing to workflows that leverage LLMs and automation effectively Partner closely with product managers, engineers, and data partners across the UK and Netherlands to deliver high-quality, user-centered solutions that improve vulnerability remediation outcomes Use Data-Driven Decision Making to inform design choices, validate hypotheses through research and testing, and continuously improve product experiences based on measurable impact Demonstrate Change Agility by adapting designs in response to evolving product direction, emerging AI capabilities, and shifting customer needs while maintaining momentum Contribute to and evolve HackerOne's Design Language System, ensuring consistency and scalability across products Communicate design rationale, tradeoffs, and decisions clearly to stakeholders, balancing user needs, technical constraints, and business goals Mentor junior designers and contribute to a collaborative, feedback-driven design culture Minimum Qualifications 8+ years of UX and product design experience, preferably in B2B or enterprise software environments Demonstrated experience designing complex workflows and systems, with the ability to independently lead projects from concept to implementation Experience applying AI tools or designing AI-enhanced user experiences, with an understanding of responsible and effective usage Strong proficiency in user research, interaction design, prototyping, and usability testing, with the ability to translate insights into product improvements Preferred Qualifications Bachelor's degree in UX, HCI, design, or a related field Experience designing for cybersecurity, developer tools, or technical platforms (e.g., vulnerability management, DevSecOps, or similar domains) Familiarity with designing for AI agents, automation systems, or human-in-the-loop workflows Basic understanding of front-end development principles and constraints Compensation Bands: Tier Guide UK Tier: $100,000-$123,000 Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
25/05/2026
Full time
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
25/05/2026
Full time
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
Job ID: Amazon UK Services Ltd. Purpose of the Job The focus of the Automation Engineer (CSS) role is to fault find, troubleshoot and improve controls solutions for automated material handling equipment such as conveyors, sortation systems, scanners, cameras, print and apply systems, scales, HMI systems, and control cabinets. The CSS will also provide training to the Engineering Technicians on device troubleshooting and preventive maintenance. Key Responsibilities Be the site-level Subject Matter Expert (SME) for all controls systems and sensors within the building, actively monitoring, fault finding and repairing systems to achieve high equipment availability for internal customers. Train technicians in control systems fault finding to raise knowledge and capability on site. Work within the EU Controls network to enhance the monitoring of MHE metrics and provide visualization and data to internal customers. Actively participate in or own continuous improvement projects driven by the EU Automation network. Collaborate with IT, EU Automation Engineering and Operations Engineering to ensure systems are correctly documented and backup libraries are maintained. Cooperate with global teams to support installation and commission of new equipment. Support other sites in the EU network as required. Basic Qualifications Experience with PLC-controlled automation and issue diagnosis in a continuous process or production environment. Experience dealing with material handling, flow and capacity visualization and monitoring. Experience with at least one of the following tools: Microsoft Office, project management tools, EPLAN, Ladder Logic and structured programming from Siemens, Allen Brady or Codesys PLCs, Ignition SCADA or similar platform, Human Machine Interface (HMI), EthernetIP, Profinet, Profibus and AS i or other fieldbus networks, VFDs, safety gateways, and input and output devices. Experience supporting a wide range of different conveyors and sortation systems. Fluency in speaking, writing and reading English. Preferred Qualifications Engineering Degree or equivalent UK qualification (HND, HNC, BTEC National Diploma, Certificate (OND/D), NVQ III/IV/V, Ieng, CEng, ILM L3+ or a fully accredited apprenticeship with relevant follow-on qualifications). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
25/05/2026
Full time
Job ID: Amazon UK Services Ltd. Purpose of the Job The focus of the Automation Engineer (CSS) role is to fault find, troubleshoot and improve controls solutions for automated material handling equipment such as conveyors, sortation systems, scanners, cameras, print and apply systems, scales, HMI systems, and control cabinets. The CSS will also provide training to the Engineering Technicians on device troubleshooting and preventive maintenance. Key Responsibilities Be the site-level Subject Matter Expert (SME) for all controls systems and sensors within the building, actively monitoring, fault finding and repairing systems to achieve high equipment availability for internal customers. Train technicians in control systems fault finding to raise knowledge and capability on site. Work within the EU Controls network to enhance the monitoring of MHE metrics and provide visualization and data to internal customers. Actively participate in or own continuous improvement projects driven by the EU Automation network. Collaborate with IT, EU Automation Engineering and Operations Engineering to ensure systems are correctly documented and backup libraries are maintained. Cooperate with global teams to support installation and commission of new equipment. Support other sites in the EU network as required. Basic Qualifications Experience with PLC-controlled automation and issue diagnosis in a continuous process or production environment. Experience dealing with material handling, flow and capacity visualization and monitoring. Experience with at least one of the following tools: Microsoft Office, project management tools, EPLAN, Ladder Logic and structured programming from Siemens, Allen Brady or Codesys PLCs, Ignition SCADA or similar platform, Human Machine Interface (HMI), EthernetIP, Profinet, Profibus and AS i or other fieldbus networks, VFDs, safety gateways, and input and output devices. Experience supporting a wide range of different conveyors and sortation systems. Fluency in speaking, writing and reading English. Preferred Qualifications Engineering Degree or equivalent UK qualification (HND, HNC, BTEC National Diploma, Certificate (OND/D), NVQ III/IV/V, Ieng, CEng, ILM L3+ or a fully accredited apprenticeship with relevant follow-on qualifications). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
About the Opportunity We are seeking a Front-End Developer to join our progressive Informatics team. You will be working with a range of data capture, analysis and visualisation technologies to support our organisation's objectives and client challenges. With exposure to an expanding range of market sectors, you will deliver dynamic, innovative solutions to internal and external clients. Key responsibilities Developing innovative solutions to address client challenges. Creative design and delivery of digital products and solutions. Management and analysis of Geospatial data. Collaboration with team members to deliver and expand capabilities. Maintaining our high standards of accuracy and integrity. Staying up to date with latest software engineering trends and technology within different industries. Skills and Requirements Bachelor's degree in GIS, Informatics, IT or a related field (2:1 minimum). Strong front-end development skills (JavaScript, HTML5, CSS). Experience using modern JavaScript frameworks such as React, Vue, or Angular (React preferred). Expertise with web mapping libraries, such as ArcGIS Maps SDK for JavaScript, OpenLayers or Leaflet. Experience developing REST APIs and integrating geospatial services into front-end applications. Competence in server-side development using languages such as Python, Node.js, or .NET. Experience with version control (Git or equivalent). A strong background in the use of GIS software, ideally ESRI product suite. Experience in geospatial software and task automation withing FME and/or python. Strong experience with spatial databases, including ESRI Enterprise Geodatabases (SDE) and PostgreSQL/PostGIS. Understanding of GIS service architectures, including ESRI services (MapServer, FeatureServer, ImageServer) and OGC-compliant services (WMS, WFS, WMTS, WCS, Features API etc). Hands on experience developing within ArcGIS Enterprise Experience Builder. Familiarity with GeoServer, MapServer, or other equivalent open source GIS servers. Ability to work collaboratively in a team environment, building strong relationships based on mutual trust and respect. Excellent communication and presentation skills. Driven and motivated to succeed, with a high level of personal accountability. What else we provide A flexible workstyle, embracing a hybrid working pattern and supporting those who need to balance work/life commitments a bit differently than others. Free single medical cover and digital GP service. Reimbursement towards relevant professional development and memberships. An inclusive and diverse work environment, embracing the variety of disciplines, cultures, backgrounds and lifestyles of our employees through our Employee Networks. A focus on safety, health, and wellbeing, prioritising our people through a supportive culture and positive mental health champion network. Compensation Details GBP Benefits Overview Health, dental, and vision insurance Paid time off and holidays Retirement benefits (including 401(k) matching) Educational reimbursement Parental leave Employee stock purchase plan Tax-saving options Disability and life insurance Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.
25/05/2026
Full time
About the Opportunity We are seeking a Front-End Developer to join our progressive Informatics team. You will be working with a range of data capture, analysis and visualisation technologies to support our organisation's objectives and client challenges. With exposure to an expanding range of market sectors, you will deliver dynamic, innovative solutions to internal and external clients. Key responsibilities Developing innovative solutions to address client challenges. Creative design and delivery of digital products and solutions. Management and analysis of Geospatial data. Collaboration with team members to deliver and expand capabilities. Maintaining our high standards of accuracy and integrity. Staying up to date with latest software engineering trends and technology within different industries. Skills and Requirements Bachelor's degree in GIS, Informatics, IT or a related field (2:1 minimum). Strong front-end development skills (JavaScript, HTML5, CSS). Experience using modern JavaScript frameworks such as React, Vue, or Angular (React preferred). Expertise with web mapping libraries, such as ArcGIS Maps SDK for JavaScript, OpenLayers or Leaflet. Experience developing REST APIs and integrating geospatial services into front-end applications. Competence in server-side development using languages such as Python, Node.js, or .NET. Experience with version control (Git or equivalent). A strong background in the use of GIS software, ideally ESRI product suite. Experience in geospatial software and task automation withing FME and/or python. Strong experience with spatial databases, including ESRI Enterprise Geodatabases (SDE) and PostgreSQL/PostGIS. Understanding of GIS service architectures, including ESRI services (MapServer, FeatureServer, ImageServer) and OGC-compliant services (WMS, WFS, WMTS, WCS, Features API etc). Hands on experience developing within ArcGIS Enterprise Experience Builder. Familiarity with GeoServer, MapServer, or other equivalent open source GIS servers. Ability to work collaboratively in a team environment, building strong relationships based on mutual trust and respect. Excellent communication and presentation skills. Driven and motivated to succeed, with a high level of personal accountability. What else we provide A flexible workstyle, embracing a hybrid working pattern and supporting those who need to balance work/life commitments a bit differently than others. Free single medical cover and digital GP service. Reimbursement towards relevant professional development and memberships. An inclusive and diverse work environment, embracing the variety of disciplines, cultures, backgrounds and lifestyles of our employees through our Employee Networks. A focus on safety, health, and wellbeing, prioritising our people through a supportive culture and positive mental health champion network. Compensation Details GBP Benefits Overview Health, dental, and vision insurance Paid time off and holidays Retirement benefits (including 401(k) matching) Educational reimbursement Parental leave Employee stock purchase plan Tax-saving options Disability and life insurance Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
25/05/2026
Full time
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Overview Applied AI Solution Engineer - Kearney Activate. Full-time Europe London. Job Description About Kearney Activate Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through data, platforms, and AI. Our work spans strategy, technology, and execution, supporting clients as they implement and scale solutions across CRM, planning, analytics, and AI-enabled capabilities. We partner with leading platforms including Salesforce, Anaplan, and modern analytics and AI technologies to help organisations drive adoption, realise value, and sustain change. We operate across four key focus areas: Advisory & Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation. Platform & Technology Enablement: Supporting implementation and adoption of enterprise platforms such as Salesforce and Anaplan. AI & Innovation Enablement: Supporting the rollout and adoption of AI-enabled solutions and new ways of working. Position Overview As a Junior Applied AI Solution Engineer, you will work as part of cross-functional teams to design, build, and deploy AI-driven applications, particularly those leveraging Large Language Models (LLMs), agents, and other modern AI techniques. This is a hands-on, client-facing engineering role where you will contribute to solution design, development, testing, and delivery. You will work closely with senior engineers and client teams, gaining exposure to real-world AI solution engineering. As you grow in the role, you will take on more ownership, from end-to-end delivery to advising clients on AI opportunities and best practices. Our teams primarily build solutions using existing foundational models (closed and open-source), sometimes with light fine-tuning. We do not train foundational models from scratch. Your Responsibilities AI Solution Development Assist in building AI-powered applications, especially those involving LLMs, retrieval-augmented generation, and autonomous agents. Support the design and hands-on implementation of end-to-end solutions with guidance from senior engineers. Help integrate AI components into microservices, APIs, and client-facing applications. Agent & Workflow Development Support the creation of multi-step reasoning agents using LangGraph or LangChain Agents. Implement tool-calling, memory, and routing logic. Evaluate agent behaviour and improve reliability over iterations. Participate in conversations with clients to understand their challenges, use cases, and requirements. Help translate business needs into feasible AI/ML solution components. Support senior engineers in presenting solution concepts and explaining AI capabilities in accessible terms. Technical Problem-Solving Contribute to solving technical issues encountered during development and implementation. Identify blockers and escalate complex challenges to senior engineers and R&D teams. Assist in documenting learnings and reusable patterns for future solutions. Cross-Functional Collaboration Work collaboratively with technical and non-technical teams to ensure solutions are aligned with client expectations. Provide input into product, data, and design discussions where AI components affect the user experience. Stay informed about new models, AI tools, frameworks, and best practices. Proactively learn new technologies and explore innovative ways to apply AI to real-world problems. Experiment with new open-source models, orchestration frameworks, and retrieval techniques. Share findings and help improve team practices. Who You Are You have hands-on experience or strong foundational knowledge in several of the following areas: Python programming and data technologies (SQL, APIs, basic data pipelines). Building small-scale microservices or automation scripts. Working with LLM APIs (Azure OpenAI, Gemini, Hugging Face, Anthropic). Exposure to GenAI concepts (prompting, embeddings, finetuning, vector search). Basic experience with RAG development and knowledge retrieval. Understanding of model fine-tuning, vector stores, embeddings concepts. Ability to design simple solution architectures using Python & cloud tools. Strong analytical and problem-solving mindset. Willingness to learn new technologies when the project requires it. Client-Facing Mindset Even at a junior level, you should feel comfortable and excited to grow in these areas: Communicating clearly with non-technical audiences. Translating business needs into technical requirements (with support). Understanding business processes and identifying where AI can add value. Adaptable & Self-Motivated: You are proactive, resourceful, and able to operate independently with minimal handholding. Passionate & Positive: You are genuinely excited about AI and its potential to transform industries. Creative & Curious: You keep up with AI developments and enjoy experimenting with new tools and methods. Ethical & Responsible: You understand the importance of safe, fair, and responsible AI implementation. Nice to Have Experience with building data pipelines, preparing and indexing datasets, and implementing embedding generation and retrieval evaluation for GenAI applications Exposure to MLOps, Docker, CI/CD, or cloud platforms (AWS/GCP/Azure) Hands-on work with agent workflows or multi-step reasoning models "Vibe coding" skills - fast prototyping, AI-assisted development, improvisational coding Why Join? Strategic Impact - Shape the commercial growth engine of one of Kearney's fastest-growing digital businesses. Collaborative Ecosystem - Work with top technology partners and world-class consulting teams. Growth & Development - Access Kearney's global learning programs and partner certifications. Culture - Join a hands-on, high-energy, and inclusive environment focused on innovation and impact. Purpose - Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation. Equal Employment Opportunity and Non-discrimination Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
25/05/2026
Full time
Overview Applied AI Solution Engineer - Kearney Activate. Full-time Europe London. Job Description About Kearney Activate Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through data, platforms, and AI. Our work spans strategy, technology, and execution, supporting clients as they implement and scale solutions across CRM, planning, analytics, and AI-enabled capabilities. We partner with leading platforms including Salesforce, Anaplan, and modern analytics and AI technologies to help organisations drive adoption, realise value, and sustain change. We operate across four key focus areas: Advisory & Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation. Platform & Technology Enablement: Supporting implementation and adoption of enterprise platforms such as Salesforce and Anaplan. AI & Innovation Enablement: Supporting the rollout and adoption of AI-enabled solutions and new ways of working. Position Overview As a Junior Applied AI Solution Engineer, you will work as part of cross-functional teams to design, build, and deploy AI-driven applications, particularly those leveraging Large Language Models (LLMs), agents, and other modern AI techniques. This is a hands-on, client-facing engineering role where you will contribute to solution design, development, testing, and delivery. You will work closely with senior engineers and client teams, gaining exposure to real-world AI solution engineering. As you grow in the role, you will take on more ownership, from end-to-end delivery to advising clients on AI opportunities and best practices. Our teams primarily build solutions using existing foundational models (closed and open-source), sometimes with light fine-tuning. We do not train foundational models from scratch. Your Responsibilities AI Solution Development Assist in building AI-powered applications, especially those involving LLMs, retrieval-augmented generation, and autonomous agents. Support the design and hands-on implementation of end-to-end solutions with guidance from senior engineers. Help integrate AI components into microservices, APIs, and client-facing applications. Agent & Workflow Development Support the creation of multi-step reasoning agents using LangGraph or LangChain Agents. Implement tool-calling, memory, and routing logic. Evaluate agent behaviour and improve reliability over iterations. Participate in conversations with clients to understand their challenges, use cases, and requirements. Help translate business needs into feasible AI/ML solution components. Support senior engineers in presenting solution concepts and explaining AI capabilities in accessible terms. Technical Problem-Solving Contribute to solving technical issues encountered during development and implementation. Identify blockers and escalate complex challenges to senior engineers and R&D teams. Assist in documenting learnings and reusable patterns for future solutions. Cross-Functional Collaboration Work collaboratively with technical and non-technical teams to ensure solutions are aligned with client expectations. Provide input into product, data, and design discussions where AI components affect the user experience. Stay informed about new models, AI tools, frameworks, and best practices. Proactively learn new technologies and explore innovative ways to apply AI to real-world problems. Experiment with new open-source models, orchestration frameworks, and retrieval techniques. Share findings and help improve team practices. Who You Are You have hands-on experience or strong foundational knowledge in several of the following areas: Python programming and data technologies (SQL, APIs, basic data pipelines). Building small-scale microservices or automation scripts. Working with LLM APIs (Azure OpenAI, Gemini, Hugging Face, Anthropic). Exposure to GenAI concepts (prompting, embeddings, finetuning, vector search). Basic experience with RAG development and knowledge retrieval. Understanding of model fine-tuning, vector stores, embeddings concepts. Ability to design simple solution architectures using Python & cloud tools. Strong analytical and problem-solving mindset. Willingness to learn new technologies when the project requires it. Client-Facing Mindset Even at a junior level, you should feel comfortable and excited to grow in these areas: Communicating clearly with non-technical audiences. Translating business needs into technical requirements (with support). Understanding business processes and identifying where AI can add value. Adaptable & Self-Motivated: You are proactive, resourceful, and able to operate independently with minimal handholding. Passionate & Positive: You are genuinely excited about AI and its potential to transform industries. Creative & Curious: You keep up with AI developments and enjoy experimenting with new tools and methods. Ethical & Responsible: You understand the importance of safe, fair, and responsible AI implementation. Nice to Have Experience with building data pipelines, preparing and indexing datasets, and implementing embedding generation and retrieval evaluation for GenAI applications Exposure to MLOps, Docker, CI/CD, or cloud platforms (AWS/GCP/Azure) Hands-on work with agent workflows or multi-step reasoning models "Vibe coding" skills - fast prototyping, AI-assisted development, improvisational coding Why Join? Strategic Impact - Shape the commercial growth engine of one of Kearney's fastest-growing digital businesses. Collaborative Ecosystem - Work with top technology partners and world-class consulting teams. Growth & Development - Access Kearney's global learning programs and partner certifications. Culture - Join a hands-on, high-energy, and inclusive environment focused on innovation and impact. Purpose - Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation. Equal Employment Opportunity and Non-discrimination Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
25/05/2026
Full time
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Summary We're seeking a seasoned DevOps Engineer with a deep understanding of AWS to maintain and optimize our cloud infrastructure. You will play a pivotal role in ensuring our systems run smoothly, support project deployments, and proactively identify ways to reduce cloud costs. The ideal candidate is a hands on problem solver with extensive experience in AWS environments, a passion for automation and efficiency, and a collaborative spirit to assist developers in navigating deployment challenges. Key Responsibilities Infrastructure Management Design, implement, and manage AWS infrastructure (EC2, ECS, Fargate, S3, RDS, etc.) to support development, testing, and production environments. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement automation tools and processes to streamline infrastructure provisioning and management. Work closely with development teams to support project deployments and CI/CD pipelines (TeamCity, Octopus Deploy, BitBucket). Continuously evaluate and optimize infrastructure to reduce costs and improve performance. AWS Management Expertise in AWS Control Tower and Landing Zones: Deep knowledge of Control Tower's features, best practices for landing zone design and implementation, and experience with Control Tower's automation capabilities. Security Focus IAM roles and policies VPC security groups and network ACLs Data encryption (KMS, S3) Threat detection and response (GuardDuty, Security Hub) Vulnerability management Incident response planning Proactively contribute to the improvement and optimization of AWS architecture. Project Support Collaborate with cross functional teams to understand project requirements and design appropriate infrastructure solutions. Participate in architecture and design reviews to ensure solutions align with best practices. Provide technical expertise and guidance to development teams during project implementation. Assist in troubleshooting and resolving issues during development and deployment. Documentation and Knowledge Sharing Create and maintain clear and concise technical documentation for infrastructure configurations and processes. Share knowledge and best practices with the team through training sessions and documentation. Stay up to date on AWS technologies and industry trends. Willingness to learn new technologies using own initiative. Out of hours maintenance Some changes will require to be performed outside of core business hours. Qualifications Experience 5+ years of hands on experience in DevOps or a similar role, with a strong focus on AWS. Deep understanding of AWS services, including EC2, ECS, Fargate, S3, RDS and others. Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. Proficiency in scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible). Strong understanding of CI/CD pipelines focusing on tools like Teamcity and Octopus Deploy. Demonstrated ability to identify and implement cost saving measures in AWS environments. Excellent communication and collaboration skills, with a proven ability to work effectively with development teams. Experience with Microsoft technologies (C#, .netcore, .netframework). Linux / Unix experience required. Preferred Qualifications AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with containerization technologies like Docker and Kubernetes. Familiarity with observability platforms, monitoring and logging tools (e.g., CloudWatch, DataDog). Experience working in an agile development environment. KPIs 90%+ SLA success rate on Incident resolution 95%+ SLA success rate on Patch deployment 95%+ Change success rate Control of AWS cloud costs Benefits Competitive salary and benefits package. Opportunity to work with cutting edge technologies and make a significant impact. Collaborative and supportive work environment. Electric vehicle leasing scheme. Company performance related bonus.
25/05/2026
Full time
Summary We're seeking a seasoned DevOps Engineer with a deep understanding of AWS to maintain and optimize our cloud infrastructure. You will play a pivotal role in ensuring our systems run smoothly, support project deployments, and proactively identify ways to reduce cloud costs. The ideal candidate is a hands on problem solver with extensive experience in AWS environments, a passion for automation and efficiency, and a collaborative spirit to assist developers in navigating deployment challenges. Key Responsibilities Infrastructure Management Design, implement, and manage AWS infrastructure (EC2, ECS, Fargate, S3, RDS, etc.) to support development, testing, and production environments. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement automation tools and processes to streamline infrastructure provisioning and management. Work closely with development teams to support project deployments and CI/CD pipelines (TeamCity, Octopus Deploy, BitBucket). Continuously evaluate and optimize infrastructure to reduce costs and improve performance. AWS Management Expertise in AWS Control Tower and Landing Zones: Deep knowledge of Control Tower's features, best practices for landing zone design and implementation, and experience with Control Tower's automation capabilities. Security Focus IAM roles and policies VPC security groups and network ACLs Data encryption (KMS, S3) Threat detection and response (GuardDuty, Security Hub) Vulnerability management Incident response planning Proactively contribute to the improvement and optimization of AWS architecture. Project Support Collaborate with cross functional teams to understand project requirements and design appropriate infrastructure solutions. Participate in architecture and design reviews to ensure solutions align with best practices. Provide technical expertise and guidance to development teams during project implementation. Assist in troubleshooting and resolving issues during development and deployment. Documentation and Knowledge Sharing Create and maintain clear and concise technical documentation for infrastructure configurations and processes. Share knowledge and best practices with the team through training sessions and documentation. Stay up to date on AWS technologies and industry trends. Willingness to learn new technologies using own initiative. Out of hours maintenance Some changes will require to be performed outside of core business hours. Qualifications Experience 5+ years of hands on experience in DevOps or a similar role, with a strong focus on AWS. Deep understanding of AWS services, including EC2, ECS, Fargate, S3, RDS and others. Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. Proficiency in scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible). Strong understanding of CI/CD pipelines focusing on tools like Teamcity and Octopus Deploy. Demonstrated ability to identify and implement cost saving measures in AWS environments. Excellent communication and collaboration skills, with a proven ability to work effectively with development teams. Experience with Microsoft technologies (C#, .netcore, .netframework). Linux / Unix experience required. Preferred Qualifications AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with containerization technologies like Docker and Kubernetes. Familiarity with observability platforms, monitoring and logging tools (e.g., CloudWatch, DataDog). Experience working in an agile development environment. KPIs 90%+ SLA success rate on Incident resolution 95%+ SLA success rate on Patch deployment 95%+ Change success rate Control of AWS cloud costs Benefits Competitive salary and benefits package. Opportunity to work with cutting edge technologies and make a significant impact. Collaborative and supportive work environment. Electric vehicle leasing scheme. Company performance related bonus.
Our mission is to use data and AI to make payments free for businesses, so that everyone wins. By removing payment fees and passing savings back to customers, we are disrupting the payments industry while helping businesses increase sales and loyalty. With Buy Now, Pay Later (BNPL) free for merchants and 0% card payment processing, Super gives businesses a powerful way to reduce costs, grow sales, and reward customers. Already trusted by thousands of businesses and more than 4 million customers, Super is growing fast, supported by leading investors including Accel, Union Square Ventures and LocalGlobe, and led by Samir Desai, founder and former CEO of Funding Circle. Our Values Customer obsessed: We only succeed when our customers do. Move fast: Build, test and improve quickly. Progress matters more than perfection. Own it: Be accountable, solve problems, and make it happen. Be open: Act with honesty and respect. Transparency builds trust. Win together: Collaboration beats ego every time. Technology We leverage the latest tools and technologies to create a seamless, customer centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources. Our architecture is cloud native, event driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST. We are driven by data science, machine learning, and analytics, using multi variant testing to personalise user experiences across every digital channel. However, it's not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting-allowing us to focus on delivering value to our customers. Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem solving mindset-we'll navigate obstacles together. Platforms: Kubernetes (EKS) with Istio Service Mesh Security & Monitoring: Datadog CSM, Cloudflare WAF, CrowdStrike, BitDefender, Okta, Hashicorp Vault IaC: Terraform via Atlantis CI/CD: Github, Flux, Helm What you'll be doing Working within the Platform team hardening AWS and Kubernetes perimeters. Running vulnerability management across our AWS and Kubernetes estate, and setting the SLAs and processes that keep us on top of it. Building and tuning security detections, and writing the runbooks that make security alerts actionable on call. Coordinating external penetration tests and driving remediation of findings to closure. Owning identity and secrets across Okta, Vault, and AWS IAM, including SSO/SCIM rollouts and access reviews. Owning our InfoSec/PCI DSS programme end to end - quarterly reviews, significant change documentation, audit prep, and working directly with our QSA and other partners. We'd love to hear from you if you have the following Strong AWS security skills (IAM, SCPs, VPC, EKS, ECR, GuardDuty, KMS) and comfort writing and reviewing Terraform yourself. Practical experience with at least three of: Datadog (ideally CSM), Cloudflare WAF, Hashicorp Vault, Okta, Kubernetes security, CrowdStrike or equivalent EDR. A track record of coordinating external penetration tests - scoping, enablement, and remediation follow through. A bias for automating compliance toil, particularly evidence gathering for recurring reviews and audits. The ability to write runbooks an on call engineer can actually follow at 03:00. Hands on experience with PCI DSS v4.0 controls in a payments or financial services environment is a plus. Are comfortable working in a fast paced, evolving start up environment. Can work independently, tackling ambiguous challenges and driving solutions forward. Our Benefits Tax advantage Share Options Work from home setup Contributory Pension Scheme Team lunch and social evenings Your birthday off, plus one Revival day If you are excited about sharing the adventure, joining a growing team with big ambitions and you are really great at what you do, then apply now! Super Payments is an equal opportunity employer, embracing diversity in all its forms and fostering an inclusive environment. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, neurodiversity status, pregnancy or trade union membership. Please let us know if you require any reasonable adjustments at any point during the application and/or recruitment process.
25/05/2026
Full time
Our mission is to use data and AI to make payments free for businesses, so that everyone wins. By removing payment fees and passing savings back to customers, we are disrupting the payments industry while helping businesses increase sales and loyalty. With Buy Now, Pay Later (BNPL) free for merchants and 0% card payment processing, Super gives businesses a powerful way to reduce costs, grow sales, and reward customers. Already trusted by thousands of businesses and more than 4 million customers, Super is growing fast, supported by leading investors including Accel, Union Square Ventures and LocalGlobe, and led by Samir Desai, founder and former CEO of Funding Circle. Our Values Customer obsessed: We only succeed when our customers do. Move fast: Build, test and improve quickly. Progress matters more than perfection. Own it: Be accountable, solve problems, and make it happen. Be open: Act with honesty and respect. Transparency builds trust. Win together: Collaboration beats ego every time. Technology We leverage the latest tools and technologies to create a seamless, customer centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources. Our architecture is cloud native, event driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST. We are driven by data science, machine learning, and analytics, using multi variant testing to personalise user experiences across every digital channel. However, it's not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting-allowing us to focus on delivering value to our customers. Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem solving mindset-we'll navigate obstacles together. Platforms: Kubernetes (EKS) with Istio Service Mesh Security & Monitoring: Datadog CSM, Cloudflare WAF, CrowdStrike, BitDefender, Okta, Hashicorp Vault IaC: Terraform via Atlantis CI/CD: Github, Flux, Helm What you'll be doing Working within the Platform team hardening AWS and Kubernetes perimeters. Running vulnerability management across our AWS and Kubernetes estate, and setting the SLAs and processes that keep us on top of it. Building and tuning security detections, and writing the runbooks that make security alerts actionable on call. Coordinating external penetration tests and driving remediation of findings to closure. Owning identity and secrets across Okta, Vault, and AWS IAM, including SSO/SCIM rollouts and access reviews. Owning our InfoSec/PCI DSS programme end to end - quarterly reviews, significant change documentation, audit prep, and working directly with our QSA and other partners. We'd love to hear from you if you have the following Strong AWS security skills (IAM, SCPs, VPC, EKS, ECR, GuardDuty, KMS) and comfort writing and reviewing Terraform yourself. Practical experience with at least three of: Datadog (ideally CSM), Cloudflare WAF, Hashicorp Vault, Okta, Kubernetes security, CrowdStrike or equivalent EDR. A track record of coordinating external penetration tests - scoping, enablement, and remediation follow through. A bias for automating compliance toil, particularly evidence gathering for recurring reviews and audits. The ability to write runbooks an on call engineer can actually follow at 03:00. Hands on experience with PCI DSS v4.0 controls in a payments or financial services environment is a plus. Are comfortable working in a fast paced, evolving start up environment. Can work independently, tackling ambiguous challenges and driving solutions forward. Our Benefits Tax advantage Share Options Work from home setup Contributory Pension Scheme Team lunch and social evenings Your birthday off, plus one Revival day If you are excited about sharing the adventure, joining a growing team with big ambitions and you are really great at what you do, then apply now! Super Payments is an equal opportunity employer, embracing diversity in all its forms and fostering an inclusive environment. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, neurodiversity status, pregnancy or trade union membership. Please let us know if you require any reasonable adjustments at any point during the application and/or recruitment process.
Overview Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Data Fabric Engineer at our Farnborough site, where you will have the opportunity to work with cutting-edge technology in partnership with some of the most brilliant minds. The Role As a Senior Data Fabric Engineer, you will further design, build and operate our secure, open, and extensible data fabric capability for Defence and National Security customers. Day-to-day, you will create a shared "paved road" that lets teams integrate, govern, and consume data products both safely and quickly across batch, streaming and analyst-driven workflows. This includes enabling workflow automation and configurable data integration with resilient operation in Denied, Degraded, Intermittent and Limited (DDIL) communications environments supporting edge deployments. Responsibilities Designing, implementing, and evolving the event-driven data fabric architecture that enables automation and downstream AI-based systems: ingestion, integration, storage, processing, metadata, governance, and access patterns aligned to customer outcomes and security constraints Building and operating workflow automation capabilities that enable repeatable, governed analyst workflows (reusable patterns, configuration-driven behaviours, and safe promotion across environments) Delivering configurable data integration through curated connectors and standard patterns for transformation, routing, enrichment and correlation with clear contract and operational guardrails Engineering for DDIL and edge deployments: Design Patterns for constrained connectivity, supporting appropriate local processing at edge and implementing secure configuration distribution Building streaming ingestion, event pipelines, batch/stream processing workloads using both distributed event streaming technologies and Apache Flink and/or Apache Spark with clear SLA's and repeatable deployment Implementing metadata, lineage and catalogue capabilities and implementing policy-based security and governance Essential experience Extensive experience as a data/platform engineer working on distributed systems in production Proven hands-on experience with open-source data integration and streaming technologies and delivering configurable integration patterns (connectors, reusable components, rules, and orchestration) Previous experience enabling workflow automation for technical users A strong grasp of data modelling fundamentals, data contracts and schema evolution Experience designing for reliability, scalability, and operability: monitoring, alerting, deployment automation, incident handling, and performance tuning A practical security mindset: least privilege, auditability and designing controls that do not restrict usability Essential qualifications We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at our Farnborough site. Hybrid working patterns are available. Location Farnborough At our Farnborough site exciting work takes place at our state-of-the-art facility, with high-energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK. Why Join QinetiQ? As we continue to grow into new markets around the world, there's never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges. As a QinetiQ employee, you'll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you'll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture. Our Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Our Recruitment Process We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels value, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments. Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which mean factors such as nationality or previous nationalities may affect the roles that you can be employed in. Please note that all applicants for this role must be willing to go through DV Clearance.
25/05/2026
Full time
Overview Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Data Fabric Engineer at our Farnborough site, where you will have the opportunity to work with cutting-edge technology in partnership with some of the most brilliant minds. The Role As a Senior Data Fabric Engineer, you will further design, build and operate our secure, open, and extensible data fabric capability for Defence and National Security customers. Day-to-day, you will create a shared "paved road" that lets teams integrate, govern, and consume data products both safely and quickly across batch, streaming and analyst-driven workflows. This includes enabling workflow automation and configurable data integration with resilient operation in Denied, Degraded, Intermittent and Limited (DDIL) communications environments supporting edge deployments. Responsibilities Designing, implementing, and evolving the event-driven data fabric architecture that enables automation and downstream AI-based systems: ingestion, integration, storage, processing, metadata, governance, and access patterns aligned to customer outcomes and security constraints Building and operating workflow automation capabilities that enable repeatable, governed analyst workflows (reusable patterns, configuration-driven behaviours, and safe promotion across environments) Delivering configurable data integration through curated connectors and standard patterns for transformation, routing, enrichment and correlation with clear contract and operational guardrails Engineering for DDIL and edge deployments: Design Patterns for constrained connectivity, supporting appropriate local processing at edge and implementing secure configuration distribution Building streaming ingestion, event pipelines, batch/stream processing workloads using both distributed event streaming technologies and Apache Flink and/or Apache Spark with clear SLA's and repeatable deployment Implementing metadata, lineage and catalogue capabilities and implementing policy-based security and governance Essential experience Extensive experience as a data/platform engineer working on distributed systems in production Proven hands-on experience with open-source data integration and streaming technologies and delivering configurable integration patterns (connectors, reusable components, rules, and orchestration) Previous experience enabling workflow automation for technical users A strong grasp of data modelling fundamentals, data contracts and schema evolution Experience designing for reliability, scalability, and operability: monitoring, alerting, deployment automation, incident handling, and performance tuning A practical security mindset: least privilege, auditability and designing controls that do not restrict usability Essential qualifications We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at our Farnborough site. Hybrid working patterns are available. Location Farnborough At our Farnborough site exciting work takes place at our state-of-the-art facility, with high-energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK. Why Join QinetiQ? As we continue to grow into new markets around the world, there's never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges. As a QinetiQ employee, you'll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you'll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture. Our Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Our Recruitment Process We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels value, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments. Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which mean factors such as nationality or previous nationalities may affect the roles that you can be employed in. Please note that all applicants for this role must be willing to go through DV Clearance.
Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton's services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1 % of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here ! Purpose of the Role As a Site Reliability Engineer on the Application Edge team at Proton, you will help build, maintain, and scale the critical infrastructure that powers our privacy-focused services. We manage user-facing production infrastructure across both on-premises and cloud environments, ensuring the reliable, secure, and high-performance delivery of Proton's most critical traffic. Our team is at the forefront of private infrastructure technology, tackling global challenges in traffic flow management, load balancing, and application service control at scale. We embrace SRE principles-automation, reliability, and performance-to develop and operate infrastructure that scales with Proton's growing user base. If you want to thrive in a high-impact role where infrastructure meets privacy, this is an opportunity to contribute to one of the most security-conscious and performance-critical environments in the industry. What You Will Do Design, build, and operate resilient application and traffic management systems for Proton's most critical production services. Develop and maintain automation tools to enhance deployment processes, configuration management, and service reliability. Ensure availability and performance of production services through load balancing, network optimization, and failure recovery strategies. Improve monitoring, alerting, and incident response to maintain high availability and rapid issue resolution. Optimize and scale Proton's hybrid infrastructure, spanning on-premises and cloud-based deployments. Collaborate with product and security teams to implement best practices for privacy and data protection at every layer of the stack. Document and share knowledge to foster a culture of learning and continuous improvement within the team and beyond. We Need You to Have Bachelor's degree in Computer Science, a similar field, or the equivalent practical experience. Strong knowledge of networking, including TCP/IP, DNS, and HTTP/HTTPS traffic management. Experience deploying, tuning, and maintaining high-performance load balancing solutions (e.g., HAProxy, Envoy, Traefik). Familiarity with Kubernetes and container orchestration in production environments. Experience with software development and automation in one or more programming languages (e.g., Python, Rust, Go). Ability to troubleshoot complex production issues across network, application, and system layers. A strong security mindset, with an understanding of secure infrastructure practices. Bonus Points For Hands-on experience with traffic shaping, rate limiting, and DDoS mitigation strategies. Deep expertise in Kubernetes service optimization and management. Experience with Infrastructure as Code (Terraform, Ansible, or similar). Familiarity with privacy-focused infrastructure challenges and solutions. What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30 % of the time, while enjoying great company during our three core days in the office. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization that puts its users and community first in everything we do. Read more about our impact here. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate Privacy Notice When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at . Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.
25/05/2026
Full time
Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton's services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1 % of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here ! Purpose of the Role As a Site Reliability Engineer on the Application Edge team at Proton, you will help build, maintain, and scale the critical infrastructure that powers our privacy-focused services. We manage user-facing production infrastructure across both on-premises and cloud environments, ensuring the reliable, secure, and high-performance delivery of Proton's most critical traffic. Our team is at the forefront of private infrastructure technology, tackling global challenges in traffic flow management, load balancing, and application service control at scale. We embrace SRE principles-automation, reliability, and performance-to develop and operate infrastructure that scales with Proton's growing user base. If you want to thrive in a high-impact role where infrastructure meets privacy, this is an opportunity to contribute to one of the most security-conscious and performance-critical environments in the industry. What You Will Do Design, build, and operate resilient application and traffic management systems for Proton's most critical production services. Develop and maintain automation tools to enhance deployment processes, configuration management, and service reliability. Ensure availability and performance of production services through load balancing, network optimization, and failure recovery strategies. Improve monitoring, alerting, and incident response to maintain high availability and rapid issue resolution. Optimize and scale Proton's hybrid infrastructure, spanning on-premises and cloud-based deployments. Collaborate with product and security teams to implement best practices for privacy and data protection at every layer of the stack. Document and share knowledge to foster a culture of learning and continuous improvement within the team and beyond. We Need You to Have Bachelor's degree in Computer Science, a similar field, or the equivalent practical experience. Strong knowledge of networking, including TCP/IP, DNS, and HTTP/HTTPS traffic management. Experience deploying, tuning, and maintaining high-performance load balancing solutions (e.g., HAProxy, Envoy, Traefik). Familiarity with Kubernetes and container orchestration in production environments. Experience with software development and automation in one or more programming languages (e.g., Python, Rust, Go). Ability to troubleshoot complex production issues across network, application, and system layers. A strong security mindset, with an understanding of secure infrastructure practices. Bonus Points For Hands-on experience with traffic shaping, rate limiting, and DDoS mitigation strategies. Deep expertise in Kubernetes service optimization and management. Experience with Infrastructure as Code (Terraform, Ansible, or similar). Familiarity with privacy-focused infrastructure challenges and solutions. What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30 % of the time, while enjoying great company during our three core days in the office. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization that puts its users and community first in everything we do. Read more about our impact here. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate Privacy Notice When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at . Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
25/05/2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
. Software Engineer III (Java / Spring) About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier's vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning.Within this space, the team focuses on document transformation services, including document structuring and entity recognition, helping turn complex content into reliable, reusable data products and services. About the role: We are looking for a Software Engineer III to help design, build, and improve services that support document transformation and semantic enrichment workflows. They will work on systems that process content at scale, expose reliable APIs, and support event-driven integrations across the platform.This role is well-suited to someone who enjoys building robust backend services, collaborating closely with peers, and improving engineering quality through testing, pairing, and iterative delivery. They will work with technologies including Java, Spring Boot, AWS, Kafka, Python, APIs, microservices, and event-driven architecture in a Scrum-based environment Key responsibilities: Design, build, and maintain backend services that support document transformation, structuring, and entity recognition workflows. Develop and enhance microservices and APIs using Java, Spring Boot, and Python. Contribute to event-driven and distributed systems using Kafka and AWS-based infrastructure. Write maintainable, well-tested code using practices such as TDD and pair programming. Collaborate with engineers, product partners, and other stakeholders in Scrum ceremonies to deliver incremental value. Support the reliability, performance, and operability of services in production environments. Participate in technical design discussions and contribute to implementation decisions within the team and across architecture groups. Improve engineering effectiveness by adopting modern development practices, including AI assisted coding where appropriate. Share knowledge through collaboration, code reviews, and day to day technical support. Requirements: Experience building and maintaining backend software using Java and Python. Practical experience with Spring Boot, APIs, and microservice-based systems. Experience working with AWS services in a cloud native environment. Familiarity with Kafka or similar messaging technologies in event-driven architectures. Working knowledge of Python for service development, tooling, or data workflows. Experience with test-driven development, code reviews, and collaborative engineering practices such as pair programming. Ability to work effectively in a hybrid team environment and contribute within Scrum or similar agile frameworks. Ability to translate technical requirements into clear, maintainable solutions. Strong communication and collaboration skills with a focus on inclusive, team oriented delivery. Nice to Have Experience with document processing, transformation pipelines, or content structuring systems. Experience with entity recognition, metadata extraction, or semantic enrichment workflows. Familiarity with systems that process large-scale or complex content datasets. AI software engineering - specifications-driven development. Experience improving developer workflows through automation, tooling, or AI-supported development practices. Exposure to content platform domains.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave. Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than
25/05/2026
Full time
. Software Engineer III (Java / Spring) About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier's vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning.Within this space, the team focuses on document transformation services, including document structuring and entity recognition, helping turn complex content into reliable, reusable data products and services. About the role: We are looking for a Software Engineer III to help design, build, and improve services that support document transformation and semantic enrichment workflows. They will work on systems that process content at scale, expose reliable APIs, and support event-driven integrations across the platform.This role is well-suited to someone who enjoys building robust backend services, collaborating closely with peers, and improving engineering quality through testing, pairing, and iterative delivery. They will work with technologies including Java, Spring Boot, AWS, Kafka, Python, APIs, microservices, and event-driven architecture in a Scrum-based environment Key responsibilities: Design, build, and maintain backend services that support document transformation, structuring, and entity recognition workflows. Develop and enhance microservices and APIs using Java, Spring Boot, and Python. Contribute to event-driven and distributed systems using Kafka and AWS-based infrastructure. Write maintainable, well-tested code using practices such as TDD and pair programming. Collaborate with engineers, product partners, and other stakeholders in Scrum ceremonies to deliver incremental value. Support the reliability, performance, and operability of services in production environments. Participate in technical design discussions and contribute to implementation decisions within the team and across architecture groups. Improve engineering effectiveness by adopting modern development practices, including AI assisted coding where appropriate. Share knowledge through collaboration, code reviews, and day to day technical support. Requirements: Experience building and maintaining backend software using Java and Python. Practical experience with Spring Boot, APIs, and microservice-based systems. Experience working with AWS services in a cloud native environment. Familiarity with Kafka or similar messaging technologies in event-driven architectures. Working knowledge of Python for service development, tooling, or data workflows. Experience with test-driven development, code reviews, and collaborative engineering practices such as pair programming. Ability to work effectively in a hybrid team environment and contribute within Scrum or similar agile frameworks. Ability to translate technical requirements into clear, maintainable solutions. Strong communication and collaboration skills with a focus on inclusive, team oriented delivery. Nice to Have Experience with document processing, transformation pipelines, or content structuring systems. Experience with entity recognition, metadata extraction, or semantic enrichment workflows. Familiarity with systems that process large-scale or complex content datasets. AI software engineering - specifications-driven development. Experience improving developer workflows through automation, tooling, or AI-supported development practices. Exposure to content platform domains.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave. Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than
We are looking for a QA Engineer with a strong commitment to quality and a passion for building reliable, scalable solutions. In this role, you'll support the day to day quality assurance activities for a customer facing motor insurance product, contributing to the development and improvement of automation across both web and mobile platforms. You will help shape and maintain the squad's test automation approach, contribute to mobile automation practices, and work closely with senior team members to deliver high quality, timely updates across quote to buy journeys, mobile applications, and customer portal features. Role:QA Automation Engineer Location:Liverpool City Centre HQ / Hybrid (3 days in office) Working Hours:37.5 hours per week, Monday to Friday What you will be doing: Develop and maintain automated test suites using Playwright(web) following established framework standards Write reliable, maintainable automation scripts aligned with squad needs and wider QA guidelines Identify automation opportunities for quote, buy, and portal journeys in collaboration with Senior QA Execute automated tests within Azure DevOps CI/CD pipelines and troubleshoot failures Contribute to API test automation for backend services and third party integrations Execute mobile automation using Maestro, following established best practices, based on squad needs. Test native mobile app functionality, including offline behaviour, push notifications, and device specific scenarios. Collaborate with Developers, Product Owners and Business Analysts to ensure requirements are testable and understood Execute exploratory testing and risk based testing for new features and complex changes Validate integrations with payment gateways, enrichment services, and external data providers Participate in process improvement, Udemy trainings, test case and automation code reviews. Aim to become functional SME of the squad/Product group Contribute to QA community practices, knowledge sharing, and documentation Track and report quality metrics (defect leakage, automation coverage) with guidance from QA Lead/Tech Lead Actively participate in sprint ceremonies, providing QA input on estimation and planning Suggest process improvements within the squad What we are looking for: Experience of Automated test suites e.g. Playright (web) Demonstrable knowledge of Azure DevOps CI/CD Pipelines Ability to work within cross functional teams Experience in defining and tracking quality metrics Why Join Us? Competitive Salary & Benefits:We offer a competitive salary and comprehensive benefits package to ensure you feel valued and supported. Professional Growth:We are committed to your professional development and offer opportunities for career advancement and continuous learning. We have a number of great case studied from around the business which is showcased on our Linkedin & Acorn webpages. Collaborative Environment:Work in a supportive and inclusive environment where your ideas and contributions are valued. Exciting Projects:Be part of innovative and impactful projects that make a difference in our industry and community. Grow with Acorn At Acorn Insurance,we're proud of our Liverpool roots - and even prouder of how far we've come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024. We'regrowing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement A maximum of 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options 24/7 mental health support & free counselling available Grow with us:Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Our Commitment to our colleague's: Thesearen'tjust words -they'rethe principles we live by. Andwe'reproud to back them up with real action, earning recognition and accreditation from leading organisations that share our commitment to people and growth: Mindful Employer- championing mental health and wellbeing Disability Confident Level 1 & 2- creating accessible, inclusive opportunities Menopause Friendly accredited- supporting every stage of life ️ Armed Forces Covenant signatory- honouring those who serve ️ Armed Forces Defence employer recognition scheme- Supporting those who serve Great Places to Work 2024/25- fostering an engaging and positive workplace culture Best Place to Work for Development- proud to be investing in people's future Best Place to Work for Women- breaking down barriers to women's career progression If you're looking for a company with a strong culture, real career progression, and a people-first approach - all rooted in the heart of Liverpool - Grow with Acorn. A Few Things to Know Before You Apply We're really excited that you're considering joining Acorn! To help everything go smoothly, here are a couple of things to keep in mind: If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Becauseour training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we ' renot able to offer visa sponsorship. We'reHere to Support You We'recommitted to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support,we'll work with you to make sure you can do your best work.
24/05/2026
Full time
We are looking for a QA Engineer with a strong commitment to quality and a passion for building reliable, scalable solutions. In this role, you'll support the day to day quality assurance activities for a customer facing motor insurance product, contributing to the development and improvement of automation across both web and mobile platforms. You will help shape and maintain the squad's test automation approach, contribute to mobile automation practices, and work closely with senior team members to deliver high quality, timely updates across quote to buy journeys, mobile applications, and customer portal features. Role:QA Automation Engineer Location:Liverpool City Centre HQ / Hybrid (3 days in office) Working Hours:37.5 hours per week, Monday to Friday What you will be doing: Develop and maintain automated test suites using Playwright(web) following established framework standards Write reliable, maintainable automation scripts aligned with squad needs and wider QA guidelines Identify automation opportunities for quote, buy, and portal journeys in collaboration with Senior QA Execute automated tests within Azure DevOps CI/CD pipelines and troubleshoot failures Contribute to API test automation for backend services and third party integrations Execute mobile automation using Maestro, following established best practices, based on squad needs. Test native mobile app functionality, including offline behaviour, push notifications, and device specific scenarios. Collaborate with Developers, Product Owners and Business Analysts to ensure requirements are testable and understood Execute exploratory testing and risk based testing for new features and complex changes Validate integrations with payment gateways, enrichment services, and external data providers Participate in process improvement, Udemy trainings, test case and automation code reviews. Aim to become functional SME of the squad/Product group Contribute to QA community practices, knowledge sharing, and documentation Track and report quality metrics (defect leakage, automation coverage) with guidance from QA Lead/Tech Lead Actively participate in sprint ceremonies, providing QA input on estimation and planning Suggest process improvements within the squad What we are looking for: Experience of Automated test suites e.g. Playright (web) Demonstrable knowledge of Azure DevOps CI/CD Pipelines Ability to work within cross functional teams Experience in defining and tracking quality metrics Why Join Us? Competitive Salary & Benefits:We offer a competitive salary and comprehensive benefits package to ensure you feel valued and supported. Professional Growth:We are committed to your professional development and offer opportunities for career advancement and continuous learning. We have a number of great case studied from around the business which is showcased on our Linkedin & Acorn webpages. Collaborative Environment:Work in a supportive and inclusive environment where your ideas and contributions are valued. Exciting Projects:Be part of innovative and impactful projects that make a difference in our industry and community. Grow with Acorn At Acorn Insurance,we're proud of our Liverpool roots - and even prouder of how far we've come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024. We'regrowing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement A maximum of 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options 24/7 mental health support & free counselling available Grow with us:Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Our Commitment to our colleague's: Thesearen'tjust words -they'rethe principles we live by. Andwe'reproud to back them up with real action, earning recognition and accreditation from leading organisations that share our commitment to people and growth: Mindful Employer- championing mental health and wellbeing Disability Confident Level 1 & 2- creating accessible, inclusive opportunities Menopause Friendly accredited- supporting every stage of life ️ Armed Forces Covenant signatory- honouring those who serve ️ Armed Forces Defence employer recognition scheme- Supporting those who serve Great Places to Work 2024/25- fostering an engaging and positive workplace culture Best Place to Work for Development- proud to be investing in people's future Best Place to Work for Women- breaking down barriers to women's career progression If you're looking for a company with a strong culture, real career progression, and a people-first approach - all rooted in the heart of Liverpool - Grow with Acorn. A Few Things to Know Before You Apply We're really excited that you're considering joining Acorn! To help everything go smoothly, here are a couple of things to keep in mind: If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Becauseour training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we ' renot able to offer visa sponsorship. We'reHere to Support You We'recommitted to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support,we'll work with you to make sure you can do your best work.
Our mission is to power free payments for businesses and more rewarding shopping for customers so that everyone wins. By removing payment fees and passing savings back to customers, we are disrupting the payments industry while helping businesses increase sales and loyalty. With Buy Now, Pay Later (BNPL) free for merchants and 0% card payment processing, Super gives businesses a powerful way to reduce costs, grow sales, and reward customers. Already trusted by thousands of businesses and more than 2 million customers, Super is growing fast, supported by leading investors including Accel, Union Square Ventures and LocalGlobe, and led by Samir Desai, founder and former CEO of Funding Circle. Our Values Customer obsessed: We only succeed when our customers do. Move fast: Build, test and improve quickly. Progress matters more than perfection. Own it: Be accountable, solve problems, and make it happen. Be open: Act with honesty and respect. Transparency builds trust. Win together: Collaboration beats ego every time. Our Technology We leverage the latest tools and technologies to create a seamless, customer centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources. Our architecture is cloud native, event driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST. We are driven by data science, machine learning, and analytics, using multi variant testing to personalise user experiences across every digital channel. However, it's not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting-allowing us to focus on delivering value to our customers. Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem solving mindset-we'll navigate obstacles together. What You'll Be Doing Spearheading the design and evolution of our B2B API, personalisation and payments infrastructure. Collaborating with UX and product teams in discovery, ideation, and problem solving. Contributing to engineering wide initiatives, participating in technical discussions, architecture decisions, and best practice sharing. Developing a deep understanding of our business, customers, and domain-applying your judgement to make autonomous decisions. Mentoring and supporting the growth of our engineering community, sharing knowledge through pairing, talks, and external speaking opportunities. We'd love to hear from you if you: Have at least 8 years of experience in software engineering. Have worked on any one of the following areas: Financial Services in areas such as payments, wealth management, or banking. The payments infrastructure at a large eCommerce site. High volume transaction scale up (e.g., betting, gaming, or streaming). Have a delivery focused mindset, using agile practices to drive team success. Bring experience with a variety of programming languages. Are willing to work with Node.js, TypeScript, NestJS, and AWS cloud technologies. Have experience designing and provisioning cloud based infrastructure, using Infrastructure as Code (Terraform). Ideally, have worked with Kubernetes and understand the fundamentals of containerised deployments. Have built and supported publicly accessible REST APIs. Understand application development, continuous delivery, test automation, and security within distributed services. Have a track record of improving code quality, performance, stability, and scalability. Are comfortable working in a fast paced, evolving start up environment. Can work independently, tackling ambiguous challenges and driving solutions forward. The stated experience and background is a guide and does not preclude applications from candidates with more or less experience, provided the requisite skills can be demonstrated. Our Benefits - here's a few and more to come Tax advantage Share Options Work from home set up Contributory Pension Scheme Team lunch and social evenings Your birthday off, plus one Revival day Please let us know if you require any reasonable adjustments at any point during the application and/or recruitment process. Super Payments is an equal opportunity employer, embracing diversity in all its forms and fostering an inclusive environment. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, neurodiversity status, pregnancy or trade union membership.
24/05/2026
Full time
Our mission is to power free payments for businesses and more rewarding shopping for customers so that everyone wins. By removing payment fees and passing savings back to customers, we are disrupting the payments industry while helping businesses increase sales and loyalty. With Buy Now, Pay Later (BNPL) free for merchants and 0% card payment processing, Super gives businesses a powerful way to reduce costs, grow sales, and reward customers. Already trusted by thousands of businesses and more than 2 million customers, Super is growing fast, supported by leading investors including Accel, Union Square Ventures and LocalGlobe, and led by Samir Desai, founder and former CEO of Funding Circle. Our Values Customer obsessed: We only succeed when our customers do. Move fast: Build, test and improve quickly. Progress matters more than perfection. Own it: Be accountable, solve problems, and make it happen. Be open: Act with honesty and respect. Transparency builds trust. Win together: Collaboration beats ego every time. Our Technology We leverage the latest tools and technologies to create a seamless, customer centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources. Our architecture is cloud native, event driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST. We are driven by data science, machine learning, and analytics, using multi variant testing to personalise user experiences across every digital channel. However, it's not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting-allowing us to focus on delivering value to our customers. Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem solving mindset-we'll navigate obstacles together. What You'll Be Doing Spearheading the design and evolution of our B2B API, personalisation and payments infrastructure. Collaborating with UX and product teams in discovery, ideation, and problem solving. Contributing to engineering wide initiatives, participating in technical discussions, architecture decisions, and best practice sharing. Developing a deep understanding of our business, customers, and domain-applying your judgement to make autonomous decisions. Mentoring and supporting the growth of our engineering community, sharing knowledge through pairing, talks, and external speaking opportunities. We'd love to hear from you if you: Have at least 8 years of experience in software engineering. Have worked on any one of the following areas: Financial Services in areas such as payments, wealth management, or banking. The payments infrastructure at a large eCommerce site. High volume transaction scale up (e.g., betting, gaming, or streaming). Have a delivery focused mindset, using agile practices to drive team success. Bring experience with a variety of programming languages. Are willing to work with Node.js, TypeScript, NestJS, and AWS cloud technologies. Have experience designing and provisioning cloud based infrastructure, using Infrastructure as Code (Terraform). Ideally, have worked with Kubernetes and understand the fundamentals of containerised deployments. Have built and supported publicly accessible REST APIs. Understand application development, continuous delivery, test automation, and security within distributed services. Have a track record of improving code quality, performance, stability, and scalability. Are comfortable working in a fast paced, evolving start up environment. Can work independently, tackling ambiguous challenges and driving solutions forward. The stated experience and background is a guide and does not preclude applications from candidates with more or less experience, provided the requisite skills can be demonstrated. Our Benefits - here's a few and more to come Tax advantage Share Options Work from home set up Contributory Pension Scheme Team lunch and social evenings Your birthday off, plus one Revival day Please let us know if you require any reasonable adjustments at any point during the application and/or recruitment process. Super Payments is an equal opportunity employer, embracing diversity in all its forms and fostering an inclusive environment. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, neurodiversity status, pregnancy or trade union membership.
Business Intelligence Engineer, EU Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end to end network flows. Key job responsibilities Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization. Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real time network monitoring and decision making. Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers. Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization. A day in the life: You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions-building ETL pipelines, refining dashboards, and automating manual processes. Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long term scalable solutions. Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions. About the team The EU Network Flow and Technologies (NFT) team optimizes end to end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams. Our focus spans network flow management through real time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions. Basic Qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared). Experience with scripting language (e.g., Python, Java, or R). Experience with SQL. Experience in the data/BI space. Preferred Qualifications Master's degree, or Advanced technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis, co relation analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.
24/05/2026
Full time
Business Intelligence Engineer, EU Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end to end network flows. Key job responsibilities Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization. Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real time network monitoring and decision making. Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers. Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization. A day in the life: You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions-building ETL pipelines, refining dashboards, and automating manual processes. Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long term scalable solutions. Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions. About the team The EU Network Flow and Technologies (NFT) team optimizes end to end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams. Our focus spans network flow management through real time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions. Basic Qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared). Experience with scripting language (e.g., Python, Java, or R). Experience with SQL. Experience in the data/BI space. Preferred Qualifications Master's degree, or Advanced technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis, co relation analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.
Element Materials Technology Ltd.
High Wycombe, Buckinghamshire
Overview Element has a new role for a Digital and AI Solution Lead which will be a senior, hands on technical role responsible within our Built Environment business unit for designing, building, and deploying AI and data driven solutions that improve operational performance, client experience, and quality of outputs within a safety critical Testing, Inspection, and Certification (TIC) organization accredited to ISO/IEC 17025 and ISO/IEC 17065. The role focuses on practical delivery, using data and AI responsibly in regulated environments, with particular emphasis on LLM and agentic AI solutions that support - but do not replace - expert technical judgment. In this pivotal role, by aligning with the Solutions & Insights team, you will drive the automation and systematization of our processes that assist with the testing and certification business, lead workshops with teams in operations, and contribute to critical projects that enhance our lab's efficiency and scalability. The ideal candidate is an experienced technical leader with a proven track record in engineering team management, full stack development (with a focus on Python), and building robust data platforms. You will foster a strong innovative and progressive culture while collaborating across cross functional teams to balance customer needs with internal goals. This position operates in a matrix environment, where reporting relationships may be indirect based on operational and functional roles within the organization. We value professionalism, mentorship capabilities, and the ability to create tangible value through strategic leadership. If you are an experienced leader who is passionate about automation, data driven solutions, fostering engineering excellence, and is intrigued with joining this next exciting chapter with Element Materials Technology, we encourage you to apply. Responsibilities People Cultivate and empower a vibrant progressive developer culture within the Built Environment business unit, promoting collaboration, innovation and continuous improvement through Citizen Developer programs Collaborate through leadership and guidance across different laboratories and teams to identify and solution orientated proactive discussions to shape suitable and impactful solutions driving value and improvement Run and direct workshops to identify the story behind problems to drive encompassing, impactful and scalable solutions which remedy issues across multiple disciplines AI & Data Solution Development Design, develop, test, and deploy AI and advanced analytics solutions to support testing, inspection, certification, scheduling, reporting, and decision support workflows Translate operational and quality requirements into robust, production ready AI solutions Build reusable components and templates that can be safely scaled across the organization Align with the Solution and Insights team on data and AI solutions utilising the full power of our Data Platform Develop root cause analysis, trend detection, and early warning systems for quality and safety risks Technical Remit Directly contribute to and own the success of critical technical elements of solutions leveraging full stack expertise and best fit architecture Assess technical options covering costs, resource requirements and alignment with operational efficiency and long term scalability to inform decision making in mind Produce clear technical documentation suitable for internal audits and external assessors Ensure AI and data solutions align with: ISO/IEC 17025 and ISO/IEC 17065 requirements and Elements impartiality, confidentiality, and independence obligationsProcesses Gather and explore business requirements from various teams to document existing processes, user stories and areas of improvement Evaluate current processes to design and develop solutions which improve processes and lead to efficiency gains or tangible ROI Own the delivery and implementation of process improvement solutions across the division Skills / Qualifications Strong hands on experience as a senior or lead developer delivering AI and data solutions Practical experience with Dataiku in production environments Solid understanding of prompt engineering, agentic and LLM based systems Strong skills in Python, SQL, and data engineering principles Experience working in regulated, quality driven, or safety critical environments Proven experience leading engineering teams, delivering products, and providing mentorship to developers at various levels Strong expertise in automation, systematization, and building scalable systems Demonstrated proficiency in data management, particularly in developing and maintaining large scale data platforms Full stack development experience with a focus on Python; familiarity with hardware/device automation is a plus Excellent communication skills with the ability to work effectively in cross functional environments, balancing customer needs against internal process goals Technical acumen to evaluate options for informed, strategic decisions that enhance efficiency and scalability BSc/MSc in Computer Science, Engineering, related field or commensurate with experience 5 + years of relevant experience in software development and leadership roles Desirable Experience within TIC, laboratory, inspection, certification, or conformity assessment settings Familiarity with ISO/IEC 17025, ISO/IEC 17065, or similar accreditation frameworks Exposure to MLOps, model validation, and auditability requirements Experience integrating AI into existing enterprise systems. Personal Attributes Delivery focused with a strong sense of ownership Comfortable balancing innovation with safety, quality, and compliance Clear communicator who can explain technical decisions to non technical stakeholders Methodical, detail oriented, and documentation aware Curious and proactive about emerging AI techniques Work from home role but with regular travel Benefits of working at Element 33 days annual holiday, consisting of 25 days annual holiday and 8 days public / x4 Life Assurance / Legal & General Pension scheme with total contributions up to 12% / Flexible Working / Cycle Scheme / Recommend a Friend Bonus / Perks At Work Discount Scheme Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) If you need an accommodation filling out an application, or applying to a job, please email
24/05/2026
Full time
Overview Element has a new role for a Digital and AI Solution Lead which will be a senior, hands on technical role responsible within our Built Environment business unit for designing, building, and deploying AI and data driven solutions that improve operational performance, client experience, and quality of outputs within a safety critical Testing, Inspection, and Certification (TIC) organization accredited to ISO/IEC 17025 and ISO/IEC 17065. The role focuses on practical delivery, using data and AI responsibly in regulated environments, with particular emphasis on LLM and agentic AI solutions that support - but do not replace - expert technical judgment. In this pivotal role, by aligning with the Solutions & Insights team, you will drive the automation and systematization of our processes that assist with the testing and certification business, lead workshops with teams in operations, and contribute to critical projects that enhance our lab's efficiency and scalability. The ideal candidate is an experienced technical leader with a proven track record in engineering team management, full stack development (with a focus on Python), and building robust data platforms. You will foster a strong innovative and progressive culture while collaborating across cross functional teams to balance customer needs with internal goals. This position operates in a matrix environment, where reporting relationships may be indirect based on operational and functional roles within the organization. We value professionalism, mentorship capabilities, and the ability to create tangible value through strategic leadership. If you are an experienced leader who is passionate about automation, data driven solutions, fostering engineering excellence, and is intrigued with joining this next exciting chapter with Element Materials Technology, we encourage you to apply. Responsibilities People Cultivate and empower a vibrant progressive developer culture within the Built Environment business unit, promoting collaboration, innovation and continuous improvement through Citizen Developer programs Collaborate through leadership and guidance across different laboratories and teams to identify and solution orientated proactive discussions to shape suitable and impactful solutions driving value and improvement Run and direct workshops to identify the story behind problems to drive encompassing, impactful and scalable solutions which remedy issues across multiple disciplines AI & Data Solution Development Design, develop, test, and deploy AI and advanced analytics solutions to support testing, inspection, certification, scheduling, reporting, and decision support workflows Translate operational and quality requirements into robust, production ready AI solutions Build reusable components and templates that can be safely scaled across the organization Align with the Solution and Insights team on data and AI solutions utilising the full power of our Data Platform Develop root cause analysis, trend detection, and early warning systems for quality and safety risks Technical Remit Directly contribute to and own the success of critical technical elements of solutions leveraging full stack expertise and best fit architecture Assess technical options covering costs, resource requirements and alignment with operational efficiency and long term scalability to inform decision making in mind Produce clear technical documentation suitable for internal audits and external assessors Ensure AI and data solutions align with: ISO/IEC 17025 and ISO/IEC 17065 requirements and Elements impartiality, confidentiality, and independence obligationsProcesses Gather and explore business requirements from various teams to document existing processes, user stories and areas of improvement Evaluate current processes to design and develop solutions which improve processes and lead to efficiency gains or tangible ROI Own the delivery and implementation of process improvement solutions across the division Skills / Qualifications Strong hands on experience as a senior or lead developer delivering AI and data solutions Practical experience with Dataiku in production environments Solid understanding of prompt engineering, agentic and LLM based systems Strong skills in Python, SQL, and data engineering principles Experience working in regulated, quality driven, or safety critical environments Proven experience leading engineering teams, delivering products, and providing mentorship to developers at various levels Strong expertise in automation, systematization, and building scalable systems Demonstrated proficiency in data management, particularly in developing and maintaining large scale data platforms Full stack development experience with a focus on Python; familiarity with hardware/device automation is a plus Excellent communication skills with the ability to work effectively in cross functional environments, balancing customer needs against internal process goals Technical acumen to evaluate options for informed, strategic decisions that enhance efficiency and scalability BSc/MSc in Computer Science, Engineering, related field or commensurate with experience 5 + years of relevant experience in software development and leadership roles Desirable Experience within TIC, laboratory, inspection, certification, or conformity assessment settings Familiarity with ISO/IEC 17025, ISO/IEC 17065, or similar accreditation frameworks Exposure to MLOps, model validation, and auditability requirements Experience integrating AI into existing enterprise systems. Personal Attributes Delivery focused with a strong sense of ownership Comfortable balancing innovation with safety, quality, and compliance Clear communicator who can explain technical decisions to non technical stakeholders Methodical, detail oriented, and documentation aware Curious and proactive about emerging AI techniques Work from home role but with regular travel Benefits of working at Element 33 days annual holiday, consisting of 25 days annual holiday and 8 days public / x4 Life Assurance / Legal & General Pension scheme with total contributions up to 12% / Flexible Working / Cycle Scheme / Recommend a Friend Bonus / Perks At Work Discount Scheme Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) If you need an accommodation filling out an application, or applying to a job, please email
CAFM Developer page is loaded CAFM Developerlocations: Leatherhead, Surrey, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Title: CAFM Developer About KBR and the Project KBR are a global technical solutions provider with 28,000 employees worldwide, with operations in 34 countries delivering to customers in 80 countries. KBR work collaboratively with their wide customer base to deliver solutions that strive to create a better, safer and more sustainable world.KBR's Estates Intelligence division specialise in enabling clients to make informed decisions about the operational and strategic management of their estates and asset portfolios, including the external supply chain retained to deliver asset management and maintenance services. Estates Intelligence teams utilise the '6 As' Methodology to deliver business benefit by deploying their 'Viaverse' platform to enable each A - aggregation of data, automation of transactional processing and operational data flows, assurance of process and data integrity to promote sanctity of management information, audit of processing and data to better refine business outcomes, analytics to offer management information and insight, all to enable enhanced asset management across client's portfolio. About the Role The Role is for an experienced Developer responsible for designing workflows, automations and triggers within our CAFM component, internally to that component and integrated with other components in our stack. Familiarity with MRI Evolution Workflow Pro a real advantage but would also suit an experienced Developer who can evidence roles where software has been developed using a variety of languages, tested and deployed to support business and data flows.Role Responsibilities:CAFM Developer will have technical design, test, debug and promotion responsibility for all CAFM workflow and data integration across the Programme, which is forecast to be in the TFM, Managed Guarding and SCC workstreams.Working with the Solution Technical Lead, CAFM Developer will be directly responsible for inputting into all temporary and enduring technical documentation required to develop, test and handover technical deliverables to BAU support.CAFM Developer may be required to contribute toward more detailed solution designs for the wider platform.CAFM Developer will be required to work alongside BAs in the programme team to understand inbound/outbound process and data flows resulting from detailed business requirements and functional designs and develop these into system driven automation.CAFM Developer will be required to work alongside Test Managers in the programme to ensure any testing of the CAFM development meets the testing strategy and acceptance criteria for promotion to live environment.CAFM Developer will be required to work closely with Programme Technical Project manager and Project Coordinator to ensure development critical path is reasonable, deconflicted and achievable, task progress is reported to meet reporting timeframes, and advise where there is actual over/under-utilisation on tasks so action can be taken to mitigate. Required Technical Skills & Experience Development Knowledge of MRI Evolution and Workflow Pro.Experience working on a variety of software development projects simultaneously.Experience creating, testing and deploying optimised and logical code through multiple environments.Designing, coding and testing code/statements in line with functional requirements.Demonstrable experience working to deadlines and creating technology in tight timelines.Experience of scrum teams & sprint ceremonies.Experience Supporting agile best practices (code reviews, unit tests, TDD).In depth knowledge of IT systems including a general knowledge of software development and software and hardware architecture.Knowledge of database schema, preferably SQL database schema.Knowledge of system interfaces, especially API interfaces.(Must Have) Experience with MRI Evolution Workflow Pro OR similar native automation product in a commercial CAFM system.(Should have) Experience as software engineer working on web-based database-driven applications using a variety of programming languages, if/then statements and sub-routines.(Should have) Ability to learn new languages/coding structures quickly and efficiently.(Should Have) Experience of writing Visual Basic (VB) Script codeThe role is based in Leatherhead and will be subject to hybrid working. We Deliver - Together. We Value Our People - We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential. We Deliver - We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders. We Are People of Integrity - We value honesty, trust, courage, fairness, prudence and tenacity. We believe doing what's right for the planet, the communities where we work, and our people is good for business. We Empower - We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed. We Are a Team of Teams - We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments. Our collective focus makes us a better, stronger, more effective company.
24/05/2026
Full time
CAFM Developer page is loaded CAFM Developerlocations: Leatherhead, Surrey, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Title: CAFM Developer About KBR and the Project KBR are a global technical solutions provider with 28,000 employees worldwide, with operations in 34 countries delivering to customers in 80 countries. KBR work collaboratively with their wide customer base to deliver solutions that strive to create a better, safer and more sustainable world.KBR's Estates Intelligence division specialise in enabling clients to make informed decisions about the operational and strategic management of their estates and asset portfolios, including the external supply chain retained to deliver asset management and maintenance services. Estates Intelligence teams utilise the '6 As' Methodology to deliver business benefit by deploying their 'Viaverse' platform to enable each A - aggregation of data, automation of transactional processing and operational data flows, assurance of process and data integrity to promote sanctity of management information, audit of processing and data to better refine business outcomes, analytics to offer management information and insight, all to enable enhanced asset management across client's portfolio. About the Role The Role is for an experienced Developer responsible for designing workflows, automations and triggers within our CAFM component, internally to that component and integrated with other components in our stack. Familiarity with MRI Evolution Workflow Pro a real advantage but would also suit an experienced Developer who can evidence roles where software has been developed using a variety of languages, tested and deployed to support business and data flows.Role Responsibilities:CAFM Developer will have technical design, test, debug and promotion responsibility for all CAFM workflow and data integration across the Programme, which is forecast to be in the TFM, Managed Guarding and SCC workstreams.Working with the Solution Technical Lead, CAFM Developer will be directly responsible for inputting into all temporary and enduring technical documentation required to develop, test and handover technical deliverables to BAU support.CAFM Developer may be required to contribute toward more detailed solution designs for the wider platform.CAFM Developer will be required to work alongside BAs in the programme team to understand inbound/outbound process and data flows resulting from detailed business requirements and functional designs and develop these into system driven automation.CAFM Developer will be required to work alongside Test Managers in the programme to ensure any testing of the CAFM development meets the testing strategy and acceptance criteria for promotion to live environment.CAFM Developer will be required to work closely with Programme Technical Project manager and Project Coordinator to ensure development critical path is reasonable, deconflicted and achievable, task progress is reported to meet reporting timeframes, and advise where there is actual over/under-utilisation on tasks so action can be taken to mitigate. Required Technical Skills & Experience Development Knowledge of MRI Evolution and Workflow Pro.Experience working on a variety of software development projects simultaneously.Experience creating, testing and deploying optimised and logical code through multiple environments.Designing, coding and testing code/statements in line with functional requirements.Demonstrable experience working to deadlines and creating technology in tight timelines.Experience of scrum teams & sprint ceremonies.Experience Supporting agile best practices (code reviews, unit tests, TDD).In depth knowledge of IT systems including a general knowledge of software development and software and hardware architecture.Knowledge of database schema, preferably SQL database schema.Knowledge of system interfaces, especially API interfaces.(Must Have) Experience with MRI Evolution Workflow Pro OR similar native automation product in a commercial CAFM system.(Should have) Experience as software engineer working on web-based database-driven applications using a variety of programming languages, if/then statements and sub-routines.(Should have) Ability to learn new languages/coding structures quickly and efficiently.(Should Have) Experience of writing Visual Basic (VB) Script codeThe role is based in Leatherhead and will be subject to hybrid working. We Deliver - Together. We Value Our People - We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential. We Deliver - We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders. We Are People of Integrity - We value honesty, trust, courage, fairness, prudence and tenacity. We believe doing what's right for the planet, the communities where we work, and our people is good for business. We Empower - We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed. We Are a Team of Teams - We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments. Our collective focus makes us a better, stronger, more effective company.
Location: UK based, remote-first (with monthly travel to London) At Unmind, we're here to create better mental health. We believe mental health should be a source of strength, not struggle - for people, teams, and entire organisations. We combine science, technology, and human care to help companies like Uber, Disney, Major League Baseball, and the NHS improve mental health and drive performance. Now we're looking for more brilliant people to help us do it. Our Values We're building a company where ambition and empathy go hand in hand. Outpace the rest - Move fast. Deliver excellence. Stronger together - We go further, faster, together. Client first - We win, when our clients win. Inclusion & Belonging We're building a place where everyone feels seen, heard, and supported - and where difference is celebrated. If you need adjustments during the process, tell us when you apply or email . Learn more about how we hire and our commitment to equity in our Candidate FAQ. The Role - Senior Analytics Engineer The core mission of data analytics is twofold: (1) provide actionable insights to all Unmind teams that drive product and business decisions and help build the best version of Unmind; and (2) provide analytics to our clients through the analytics product within the platform-helping clients understand how their employees are using Unmind, and the impact it's having. As a Senior Analytics Engineer, you will own company critical data domains end to end, set standards for modelling, testing, and governance, and turn ambiguous business questions into scalable data products. You will mentor other practitioners and influence product, commercial, and operational strategy through trustworthy, reproducible insights. We're also continuously evolving our analytics stack to make smart use of modern tooling, including AI assisted workflows and dashboards as code. You'll help shape this next stage, improving how we deliver reliable insights quickly while keeping our data products well governed, maintainable and scalable. Our stack includes AWS, dlt hub for ingestion, Dagster for orchestration, dbt for modelling, Snowflake as our warehouse, OpenAI for LLM processing, Claude Code for AI assisted coding, Python for analysis and processing, and Apache Superset for BI. You don't need hands on experience with every tool; we're more interested in strong analytics engineering fundamentals and curiosity to learn. In this role you'll get to: Own - You will take the architectural lead for the key data models in the company, and balance between technical excellence and delivery of value that brings you closer to your team's North Star. Build - You will build high performance and reusable data models for our data warehouse to ensure end users are performing analysis with data that is accurate and intuitively structured. Collaborate - You will engage with different departments (e.g. Product and Marketing) to identify opportunities for leveraging and expanding the organisation's data assets in order to inform business solutions. This will include partnering with cross functional teams to analyse user journeys across the app and develop models that help evaluate ROI and other key performance outcomes. Empower - You will empower teams and decision makers across the organisation by developing sophisticated data models and performing advanced statistical analysis. By ensuring models are both scalable and intuitive, you will facilitate deeper data exploration and analysis, driving insights that inform strategic decisions and operational efficiencies. This role is pivotal in enhancing our data driven culture, encouraging the use of complex analytical techniques to uncover trends, predict outcomes, and guide informed business actions. Governance - Introduce lightweight, effective governance for metrics definitions, documentation, and data access. About You In the spirit of equity and continuous growth, we invite you to remove education from your CV. Qualifications are not a factor in our decision making. However, some experience in the following is important for this position: Advanced SQL and dbt skills to clean, transform and validate data from Data warehouses or Data Lakes Experience and knowledge in data warehousing and data modelling best practices Experience using Python for data analysis, automation or data quality workflows would be a plus. Experience in effectively using reporting tools to provide actionable insights to business teams Ability to understand & translate business requirements into analytical projects while building strong relationships with stakeholders Comfortable working in a small cross disciplinary team where you will be the subject expert. Experience of working in an agile environment with good data analytics standards (e.g. coding and analytics best practices, PR reviews) Passion for mental health, tech for good, and generally improving people's lives. Tip for candidates: If you're unsure whether to apply - do. We know great people don't always tick every box. Life at Unmind We believe wellbeing and performance go hand in hand - and we build our environment to support both. We offer the following benefits: Private medical for you & your family Equity in Unmind Generous gender neutral parental leave 25 days holiday + birthday + celebration days Revive & Thrive Days - company wide Friday off monthly (12 additional days holiday) Flexible working + early Friday summers Remote first within the UK, with monthly in person meet ups and access to a London co working space Annual learning budget + learning leaveFree weekly therapy or coaching sessions Wellbeing support via WellHub & Bippit See all benefits on our Careers Page.
24/05/2026
Full time
Location: UK based, remote-first (with monthly travel to London) At Unmind, we're here to create better mental health. We believe mental health should be a source of strength, not struggle - for people, teams, and entire organisations. We combine science, technology, and human care to help companies like Uber, Disney, Major League Baseball, and the NHS improve mental health and drive performance. Now we're looking for more brilliant people to help us do it. Our Values We're building a company where ambition and empathy go hand in hand. Outpace the rest - Move fast. Deliver excellence. Stronger together - We go further, faster, together. Client first - We win, when our clients win. Inclusion & Belonging We're building a place where everyone feels seen, heard, and supported - and where difference is celebrated. If you need adjustments during the process, tell us when you apply or email . Learn more about how we hire and our commitment to equity in our Candidate FAQ. The Role - Senior Analytics Engineer The core mission of data analytics is twofold: (1) provide actionable insights to all Unmind teams that drive product and business decisions and help build the best version of Unmind; and (2) provide analytics to our clients through the analytics product within the platform-helping clients understand how their employees are using Unmind, and the impact it's having. As a Senior Analytics Engineer, you will own company critical data domains end to end, set standards for modelling, testing, and governance, and turn ambiguous business questions into scalable data products. You will mentor other practitioners and influence product, commercial, and operational strategy through trustworthy, reproducible insights. We're also continuously evolving our analytics stack to make smart use of modern tooling, including AI assisted workflows and dashboards as code. You'll help shape this next stage, improving how we deliver reliable insights quickly while keeping our data products well governed, maintainable and scalable. Our stack includes AWS, dlt hub for ingestion, Dagster for orchestration, dbt for modelling, Snowflake as our warehouse, OpenAI for LLM processing, Claude Code for AI assisted coding, Python for analysis and processing, and Apache Superset for BI. You don't need hands on experience with every tool; we're more interested in strong analytics engineering fundamentals and curiosity to learn. In this role you'll get to: Own - You will take the architectural lead for the key data models in the company, and balance between technical excellence and delivery of value that brings you closer to your team's North Star. Build - You will build high performance and reusable data models for our data warehouse to ensure end users are performing analysis with data that is accurate and intuitively structured. Collaborate - You will engage with different departments (e.g. Product and Marketing) to identify opportunities for leveraging and expanding the organisation's data assets in order to inform business solutions. This will include partnering with cross functional teams to analyse user journeys across the app and develop models that help evaluate ROI and other key performance outcomes. Empower - You will empower teams and decision makers across the organisation by developing sophisticated data models and performing advanced statistical analysis. By ensuring models are both scalable and intuitive, you will facilitate deeper data exploration and analysis, driving insights that inform strategic decisions and operational efficiencies. This role is pivotal in enhancing our data driven culture, encouraging the use of complex analytical techniques to uncover trends, predict outcomes, and guide informed business actions. Governance - Introduce lightweight, effective governance for metrics definitions, documentation, and data access. About You In the spirit of equity and continuous growth, we invite you to remove education from your CV. Qualifications are not a factor in our decision making. However, some experience in the following is important for this position: Advanced SQL and dbt skills to clean, transform and validate data from Data warehouses or Data Lakes Experience and knowledge in data warehousing and data modelling best practices Experience using Python for data analysis, automation or data quality workflows would be a plus. Experience in effectively using reporting tools to provide actionable insights to business teams Ability to understand & translate business requirements into analytical projects while building strong relationships with stakeholders Comfortable working in a small cross disciplinary team where you will be the subject expert. Experience of working in an agile environment with good data analytics standards (e.g. coding and analytics best practices, PR reviews) Passion for mental health, tech for good, and generally improving people's lives. Tip for candidates: If you're unsure whether to apply - do. We know great people don't always tick every box. Life at Unmind We believe wellbeing and performance go hand in hand - and we build our environment to support both. We offer the following benefits: Private medical for you & your family Equity in Unmind Generous gender neutral parental leave 25 days holiday + birthday + celebration days Revive & Thrive Days - company wide Friday off monthly (12 additional days holiday) Flexible working + early Friday summers Remote first within the UK, with monthly in person meet ups and access to a London co working space Annual learning budget + learning leaveFree weekly therapy or coaching sessions Wellbeing support via WellHub & Bippit See all benefits on our Careers Page.
