Deutsche Bank is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives an established position in Europe plus a significant presence in the Americas and Asia Pacific. There are four business divisions: the Corporate Bank, the Investment Bank, the Private Bank and the Asset Manager DWS. There are also a number of highly skilled functions performing key management tasks. 'Together we're sharing new perspectives and transforming what it means to be a bank.' AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Deutsche Bank to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Deutsche Bank, we are looking for a Software Engineer (Sales Workflows) for a 6 months contract based in London (3 times per week in the office). Job description - the role Purpose of the role: As Software Engineer (Sales Workflows), you will drive the evolution of Front Office technology for our Fixed Income & Currencies sales professionals. This is a unique and exciting opportunity to contribute significantly to a greenfield initiative, transforming how our sales teams engage with clients through cutting-edge, AI-driven solutions. What you'll do: Design & build greenfield sales-enablement technology, including scalable services (Java/Kotlin) and modern UIs (React), contributing as a senior hands-on engineer. Lead AI-driven initiatives, developing tools using ML/NLP, multi-agent systems, and other AI frameworks to enhance Sales productivity and client engagement. Architect and integrate systems, establishing foundational patterns for a brand-new division and connecting new components with existing trading and sales platforms. Collaborate directly with Sales, Product, and senior stakeholders to understand workflows, prioritise requirements, and translate ideas into actionable engineering plans. Provide mentorship and technical leadership, supporting junior engineers, influencing engineering best practices, and helping grow the team (hiring, onboarding, culture). Drive engineering excellence, ensuring solutions meet Deutsche Bank standards for performance, security, maintainability, and operational readiness (CI/CD, Agile). The skills you'll need: Strong hands-on engineering background (Java/Kotlin, React, databases, caching, distributed systems). Experience with Front Office or FIC products (FX, Rates, Credit, EM) and direct interaction with Sales teams is highly desirable. Architectural capability, especially designing microservices, scalable cloud-ready systems, and service-led architectures. AI/ML exposure, ideally including practical projects with AI frameworks, agents, or multi-agent collaboration platforms. Greenfield and integration experience, capable of taking vague concepts, shaping them into structured plans, and building MVPs end-to-end. Deutsche Bank's Values Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. This client will only accept workers operating via a PAYE engagement model. AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant. AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business.
05/05/2026
Contractor
Deutsche Bank is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives an established position in Europe plus a significant presence in the Americas and Asia Pacific. There are four business divisions: the Corporate Bank, the Investment Bank, the Private Bank and the Asset Manager DWS. There are also a number of highly skilled functions performing key management tasks. 'Together we're sharing new perspectives and transforming what it means to be a bank.' AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Deutsche Bank to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Deutsche Bank, we are looking for a Software Engineer (Sales Workflows) for a 6 months contract based in London (3 times per week in the office). Job description - the role Purpose of the role: As Software Engineer (Sales Workflows), you will drive the evolution of Front Office technology for our Fixed Income & Currencies sales professionals. This is a unique and exciting opportunity to contribute significantly to a greenfield initiative, transforming how our sales teams engage with clients through cutting-edge, AI-driven solutions. What you'll do: Design & build greenfield sales-enablement technology, including scalable services (Java/Kotlin) and modern UIs (React), contributing as a senior hands-on engineer. Lead AI-driven initiatives, developing tools using ML/NLP, multi-agent systems, and other AI frameworks to enhance Sales productivity and client engagement. Architect and integrate systems, establishing foundational patterns for a brand-new division and connecting new components with existing trading and sales platforms. Collaborate directly with Sales, Product, and senior stakeholders to understand workflows, prioritise requirements, and translate ideas into actionable engineering plans. Provide mentorship and technical leadership, supporting junior engineers, influencing engineering best practices, and helping grow the team (hiring, onboarding, culture). Drive engineering excellence, ensuring solutions meet Deutsche Bank standards for performance, security, maintainability, and operational readiness (CI/CD, Agile). The skills you'll need: Strong hands-on engineering background (Java/Kotlin, React, databases, caching, distributed systems). Experience with Front Office or FIC products (FX, Rates, Credit, EM) and direct interaction with Sales teams is highly desirable. Architectural capability, especially designing microservices, scalable cloud-ready systems, and service-led architectures. AI/ML exposure, ideally including practical projects with AI frameworks, agents, or multi-agent collaboration platforms. Greenfield and integration experience, capable of taking vague concepts, shaping them into structured plans, and building MVPs end-to-end. Deutsche Bank's Values Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. This client will only accept workers operating via a PAYE engagement model. AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant. AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business.
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
05/05/2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Cloudinary is the Image and Video API platform trusted by millions of developers and over 10,000 companies worldwide. Our powerful tools fuel websites to be faster, richer in user engagement, and breakthrough creativity. With a growing suite of products that support everything from developer efficiency to brand storytelling, Cloudinary is becoming the visual layer of the web. Cloudinary has a globally distributed team across North America, EMEA, and Asia-Pacific, united by a shared commitment to building smart, scalable technology and a culture rooted in humility, curiosity, and collaboration. At Cloudinary, we celebrate Life & Work. We believe in healthy growth, working with purpose, and creating meaningful value. If you're looking for a place where your voice matters and your work truly makes an impact, this may be the opportunity for you. We're hiring a customer and partner-facing technical leader to own the tech side of Cloudinary's Shopify ecosystem team. The Lead Solutions Architect, Shopify Ecosystem is the technical authority that sits at the intersection of Shopify merchants, agencies, strategic tech partners, and Cloudinary's platform. In this role you will be responsible for building and evolving Cloudinary's AssetLink Shopify app, representing ecosystem needs internally, and translating product-market fit into repeatable Shopify adoption. This role is a highly hands on IC with outsized influence (reporting to the GM, Shopify). As the motion proves out, you'll help define what will become a small ecosystem engineering / architecture function, hiring and leading a team over time, or via managing outsourced development resources. Why this role matters: Shopify is one of the most important ecosystems for Cloudinary's commerce growth. AssetLink, our Shopify app, is the product surface area that makes Cloudinary "real" to Shopify customers: an embedded, Shopify native way to connect a Cloudinary media library to Shopify workflows (Admin, themes, and automation) and scale consistent, high performing visual experiences across stores and channels. Responsibilities: Ship meaningful improvements to the AssetLink app, personally. You'll write production code, make architectural calls, and own end to end delivery for the highest impact adoption blockers. Make AssetLink feel Shopify native: embedded Admin UX expectations, app architecture patterns, APIs/webhooks, permissions, and operational readiness that meet Plus / enterprise standards. Work closely with our partners at Shopify and key ecosystem technology and service partners to align on roadmaps, integration patterns, and joint customer needs with a bias toward what can be shipped. Run tight feedback loops with Plus merchants, enterprise brands, and agencies to turn real implementation pain into scoped work, shipped improvements, and repeatable enablement. Own reliability and KTLO: observability, runbooks, safe rollout strategies, and supportability so the app scales without becoming an escalation magnet. What you'll own: End to end technical ownership of Cloudinary's AssetLink Shopify app, from architecture and development through releases, upgrade paths, monitoring, and ongoing operations. Shopify integration architecture and roadmap, defining the technical direction for Admin extensions, theme components, and workflow/automation touchpoints that drive adoption. Customer/partner technical leadership. Lead technical discovery, architecture workshops, and design reviews with strategic customers, agencies, and Shopify/partner engineering teams. Field to product signal. Translating ecosystem feedback into crisp requirements and tradeoffs for Product and Engineering; advocate for the right platform investments that unlock Shopify scale integrations. Ecosystem enablement. Produce reference architectures, implementation guides, and agency playbooks that reduce time to value and make Cloudinary repeatable in Shopify builds. Team evolution. Operate as the single technical owner initially, and help define the roles, operating model, and hiring plan as adoption grows. Success metrics: AssetLink adoption and activation: growth in installed/active stores and usage of core workflows (linking Cloudinary assets to Products/Collections/Blogs and importing assets into Shopify). Time to value: reduced time from install connected account first successful production workflow (including agency led implementations). Revenue and pipeline influence: measurable impact on Plus / enterprise opportunities where AssetLink credibility and Shopify native architecture accelerate deal velocity or unlock expansion. Reliability and operations: improved error rates, webhook/job health, and reduced support/PS. Partner and agency enablement: increased number of agencies successfully implementing AssetLink. About You: 10+ years as a senior software engineer / architect or technical leader, with strong customer facing experience, and you still ship. 7+ years of JavaScript/node.js Deep familiarity with Shopify app development and ecosystem patterns: embedded apps, Admin UX expectations, API/webhook design, auth, rate limits, and operational realities. Proven experience building integrations or platform extensions that need to work across many customer environments (and stay reliable at enterprise scale). Strong product instincts: you can turn messy external feedback into shippable scope, make tradeoffs, and drive outcomes without hiding behind process. Executive presence with technical depth: credible with partner engineering teams and equally effective with business stakeholders. Ability to travel occasionally (typically under 10%) for a small number of high leverage partner and customer moments. Behaviors & leadership: Operates as a full owner: drives clarity, simplifies tradeoffs, and pushes toward measurable adoption outcomes. Pragmatic builder: ships what validates value, invests in robustness where it protects customers, and cuts everything else. Leads through influence: aligns Product, R&D, Partnerships, Sales, Solutions/PS, Marketing/DevRel, and Support around clear priorities and durable decisions. We have you in mind. As an employee, you will experience many benefits, including: Awesome technology Top talent peers Robust vacation & wellness policy Annual development stipend Catered lunches or a food stipend Cloudinary is proud to be an equal opportunity employer dedicated to pursuing a diverse workforce.
05/05/2026
Full time
Cloudinary is the Image and Video API platform trusted by millions of developers and over 10,000 companies worldwide. Our powerful tools fuel websites to be faster, richer in user engagement, and breakthrough creativity. With a growing suite of products that support everything from developer efficiency to brand storytelling, Cloudinary is becoming the visual layer of the web. Cloudinary has a globally distributed team across North America, EMEA, and Asia-Pacific, united by a shared commitment to building smart, scalable technology and a culture rooted in humility, curiosity, and collaboration. At Cloudinary, we celebrate Life & Work. We believe in healthy growth, working with purpose, and creating meaningful value. If you're looking for a place where your voice matters and your work truly makes an impact, this may be the opportunity for you. We're hiring a customer and partner-facing technical leader to own the tech side of Cloudinary's Shopify ecosystem team. The Lead Solutions Architect, Shopify Ecosystem is the technical authority that sits at the intersection of Shopify merchants, agencies, strategic tech partners, and Cloudinary's platform. In this role you will be responsible for building and evolving Cloudinary's AssetLink Shopify app, representing ecosystem needs internally, and translating product-market fit into repeatable Shopify adoption. This role is a highly hands on IC with outsized influence (reporting to the GM, Shopify). As the motion proves out, you'll help define what will become a small ecosystem engineering / architecture function, hiring and leading a team over time, or via managing outsourced development resources. Why this role matters: Shopify is one of the most important ecosystems for Cloudinary's commerce growth. AssetLink, our Shopify app, is the product surface area that makes Cloudinary "real" to Shopify customers: an embedded, Shopify native way to connect a Cloudinary media library to Shopify workflows (Admin, themes, and automation) and scale consistent, high performing visual experiences across stores and channels. Responsibilities: Ship meaningful improvements to the AssetLink app, personally. You'll write production code, make architectural calls, and own end to end delivery for the highest impact adoption blockers. Make AssetLink feel Shopify native: embedded Admin UX expectations, app architecture patterns, APIs/webhooks, permissions, and operational readiness that meet Plus / enterprise standards. Work closely with our partners at Shopify and key ecosystem technology and service partners to align on roadmaps, integration patterns, and joint customer needs with a bias toward what can be shipped. Run tight feedback loops with Plus merchants, enterprise brands, and agencies to turn real implementation pain into scoped work, shipped improvements, and repeatable enablement. Own reliability and KTLO: observability, runbooks, safe rollout strategies, and supportability so the app scales without becoming an escalation magnet. What you'll own: End to end technical ownership of Cloudinary's AssetLink Shopify app, from architecture and development through releases, upgrade paths, monitoring, and ongoing operations. Shopify integration architecture and roadmap, defining the technical direction for Admin extensions, theme components, and workflow/automation touchpoints that drive adoption. Customer/partner technical leadership. Lead technical discovery, architecture workshops, and design reviews with strategic customers, agencies, and Shopify/partner engineering teams. Field to product signal. Translating ecosystem feedback into crisp requirements and tradeoffs for Product and Engineering; advocate for the right platform investments that unlock Shopify scale integrations. Ecosystem enablement. Produce reference architectures, implementation guides, and agency playbooks that reduce time to value and make Cloudinary repeatable in Shopify builds. Team evolution. Operate as the single technical owner initially, and help define the roles, operating model, and hiring plan as adoption grows. Success metrics: AssetLink adoption and activation: growth in installed/active stores and usage of core workflows (linking Cloudinary assets to Products/Collections/Blogs and importing assets into Shopify). Time to value: reduced time from install connected account first successful production workflow (including agency led implementations). Revenue and pipeline influence: measurable impact on Plus / enterprise opportunities where AssetLink credibility and Shopify native architecture accelerate deal velocity or unlock expansion. Reliability and operations: improved error rates, webhook/job health, and reduced support/PS. Partner and agency enablement: increased number of agencies successfully implementing AssetLink. About You: 10+ years as a senior software engineer / architect or technical leader, with strong customer facing experience, and you still ship. 7+ years of JavaScript/node.js Deep familiarity with Shopify app development and ecosystem patterns: embedded apps, Admin UX expectations, API/webhook design, auth, rate limits, and operational realities. Proven experience building integrations or platform extensions that need to work across many customer environments (and stay reliable at enterprise scale). Strong product instincts: you can turn messy external feedback into shippable scope, make tradeoffs, and drive outcomes without hiding behind process. Executive presence with technical depth: credible with partner engineering teams and equally effective with business stakeholders. Ability to travel occasionally (typically under 10%) for a small number of high leverage partner and customer moments. Behaviors & leadership: Operates as a full owner: drives clarity, simplifies tradeoffs, and pushes toward measurable adoption outcomes. Pragmatic builder: ships what validates value, invests in robustness where it protects customers, and cuts everything else. Leads through influence: aligns Product, R&D, Partnerships, Sales, Solutions/PS, Marketing/DevRel, and Support around clear priorities and durable decisions. We have you in mind. As an employee, you will experience many benefits, including: Awesome technology Top talent peers Robust vacation & wellness policy Annual development stipend Catered lunches or a food stipend Cloudinary is proud to be an equal opportunity employer dedicated to pursuing a diverse workforce.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from 'win' to production Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
05/05/2026
Full time
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from 'win' to production Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting edge technology and data driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We are looking for a Tech Lead - Data Engineering to serve as the primary architect and owner of our data platform. Reporting to the Head of Engineering, you will own the end to end technical direction of our data ecosystem and act as the most senior individual contributor in this domain. This role sits at the intersection of data engineering and system design. You will define how data is ingested, modelled, stored, transformed, and exposed across the company, with an emphasis on robust pipelines, clear data contracts, and reliable operation at scale. We are looking for someone who goes beyond building pipelines and focuses on designing durable, well architected data systems. The large volumes of transactional data we generate form the foundation for machine learning and other AI driven solutions that we are actively building and evolving. Your focus will be on designing and evolving data systems that are reliable, maintainable, and fit for long term use, applying strong software engineering principles to how data is structured, integrated, and operated at scale. Responsibilities Own the Data Platform: Take end to end ownership of the data platform, including ingestion, storage, transformation, and exposure layers. This includes setting technical direction and being accountable for system reliability, performance, and cost. System Architecture: Lead the design of distributed data systems, ensuring clean integration between backend services, external APIs, event streams, and data storage layers. ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine learning powered product features, ensuring data quality, traceability, and production readiness. Data Modelling & Strategy: Act as the lead architect for data models and contracts. Design schemas for both structured and unstructured data, balancing flexibility, performance, and long term maintainability. Engineering Standards & Artefacts: Set and uphold engineering standards across the data domain. Produce and maintain architecture diagrams, design documents, and Architecture Decision Records (ADRs). Champion best practices including version control, CI/CD, modular design, backwards compatibility, and automated testing. Pipeline & ETL/ELT Design: Architect and implement high scale, fault tolerant data pipelines. Make deliberate trade offs around latency, freshness, cost, and complexity, selecting fit for purpose tools rather than defaulting to trends. Hands on Delivery: Spend a significant portion of your time building and maintaining core pipelines, schemas, and services in production. This is a hands on role with direct responsibility for critical systems. Technical Leadership: Define the technical roadmap for data, perform deep code reviews, and mentor engineers on system design, SQL, and Python. Workflow Automation: Design and implement automated workflows (using tools such as n8n or custom Python services) to bridge operational gaps and reduce manual processes. Governance & Security: Design enterprise grade governance frameworks covering access control, data lineage, observability, and data integrity. Production Ownership: Be accountable for production incidents, data quality issues, and cost regressions within the data platform. ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine learning powered product features, ensuring data quality, traceability, and production readiness. Experience and Qualifications Architectural Mindset: Proven experience as a Tech Lead, Principal Engineer, or System Architect designing and owning complex, distributed systems. Strong Software Engineering Foundations: A software engineer first mindset with deep experience in Python and production grade engineering practices. Experience with libraries such as Pandas or Polars is expected, but architectural thinking matters more than specific tools. Machine Learning Exposure: Hands on experience working with machine learning systems and tooling (e.g. Hugging Face, feature stores, model inference pipelines, or similar), with an emphasis on enabling ML in production rather than research experimentation. Database & Storage Expertise: Advanced SQL skills and hands on experience with modern cloud data warehouses (e.g. Snowflake or equivalent), alongside solutions for unstructured or semi structured data. ETL/ELT & Orchestration: Experience designing and operating modern data pipelines using tools such as dbt, Airflow, or equivalent orchestration and transformation frameworks. Engineering Rigor: Deep experience with Git based workflows, CI/CD pipelines, automated testing, and maintaining long lived systems in production. Engineering Judgement: Demonstrated ability to make and defend trade offs-when to model data, when not to ingest data, and how to balance correctness, performance, and cost. Analytical Depth: Ability to interrogate and analyse data directly to validate system behaviour and ensure high levels of data quality. Desirable Analytics-as-Code platforms such as Looker/LookML. Experience building internal platforms that enable, rather than directly deliver, BI and reporting. n8n for connecting operational systems. Experience designing systems for multimodal data (text, images, video, documents). Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
05/05/2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting edge technology and data driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We are looking for a Tech Lead - Data Engineering to serve as the primary architect and owner of our data platform. Reporting to the Head of Engineering, you will own the end to end technical direction of our data ecosystem and act as the most senior individual contributor in this domain. This role sits at the intersection of data engineering and system design. You will define how data is ingested, modelled, stored, transformed, and exposed across the company, with an emphasis on robust pipelines, clear data contracts, and reliable operation at scale. We are looking for someone who goes beyond building pipelines and focuses on designing durable, well architected data systems. The large volumes of transactional data we generate form the foundation for machine learning and other AI driven solutions that we are actively building and evolving. Your focus will be on designing and evolving data systems that are reliable, maintainable, and fit for long term use, applying strong software engineering principles to how data is structured, integrated, and operated at scale. Responsibilities Own the Data Platform: Take end to end ownership of the data platform, including ingestion, storage, transformation, and exposure layers. This includes setting technical direction and being accountable for system reliability, performance, and cost. System Architecture: Lead the design of distributed data systems, ensuring clean integration between backend services, external APIs, event streams, and data storage layers. ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine learning powered product features, ensuring data quality, traceability, and production readiness. Data Modelling & Strategy: Act as the lead architect for data models and contracts. Design schemas for both structured and unstructured data, balancing flexibility, performance, and long term maintainability. Engineering Standards & Artefacts: Set and uphold engineering standards across the data domain. Produce and maintain architecture diagrams, design documents, and Architecture Decision Records (ADRs). Champion best practices including version control, CI/CD, modular design, backwards compatibility, and automated testing. Pipeline & ETL/ELT Design: Architect and implement high scale, fault tolerant data pipelines. Make deliberate trade offs around latency, freshness, cost, and complexity, selecting fit for purpose tools rather than defaulting to trends. Hands on Delivery: Spend a significant portion of your time building and maintaining core pipelines, schemas, and services in production. This is a hands on role with direct responsibility for critical systems. Technical Leadership: Define the technical roadmap for data, perform deep code reviews, and mentor engineers on system design, SQL, and Python. Workflow Automation: Design and implement automated workflows (using tools such as n8n or custom Python services) to bridge operational gaps and reduce manual processes. Governance & Security: Design enterprise grade governance frameworks covering access control, data lineage, observability, and data integrity. Production Ownership: Be accountable for production incidents, data quality issues, and cost regressions within the data platform. ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine learning powered product features, ensuring data quality, traceability, and production readiness. Experience and Qualifications Architectural Mindset: Proven experience as a Tech Lead, Principal Engineer, or System Architect designing and owning complex, distributed systems. Strong Software Engineering Foundations: A software engineer first mindset with deep experience in Python and production grade engineering practices. Experience with libraries such as Pandas or Polars is expected, but architectural thinking matters more than specific tools. Machine Learning Exposure: Hands on experience working with machine learning systems and tooling (e.g. Hugging Face, feature stores, model inference pipelines, or similar), with an emphasis on enabling ML in production rather than research experimentation. Database & Storage Expertise: Advanced SQL skills and hands on experience with modern cloud data warehouses (e.g. Snowflake or equivalent), alongside solutions for unstructured or semi structured data. ETL/ELT & Orchestration: Experience designing and operating modern data pipelines using tools such as dbt, Airflow, or equivalent orchestration and transformation frameworks. Engineering Rigor: Deep experience with Git based workflows, CI/CD pipelines, automated testing, and maintaining long lived systems in production. Engineering Judgement: Demonstrated ability to make and defend trade offs-when to model data, when not to ingest data, and how to balance correctness, performance, and cost. Analytical Depth: Ability to interrogate and analyse data directly to validate system behaviour and ensure high levels of data quality. Desirable Analytics-as-Code platforms such as Looker/LookML. Experience building internal platforms that enable, rather than directly deliver, BI and reporting. n8n for connecting operational systems. Experience designing systems for multimodal data (text, images, video, documents). Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. Role Summary We're looking for an Observability Platform Specialist who can combine technical expertise with a passion for enabling others. In this role, you'll ensure our observability platforms run smoothly, support users in adopting best practices, and help teams get the most out of our tools. You'll work closely with application teams, SREs, and platform engineers to drive maturity, resolve challenges, and deliver a seamless observability experience across the enterprise.If you're a problem-solver who thrives on collaboration, enjoys fine-tuning systems, and loves helping others succeed, this role is for you. What You'll Be Doing Support and enable users -triage and resolve requests, guide teams in configuring and using observability tools effectively. Promote best practices -review configurations for compliance, recommend improvements, and help teams mature their observability approach. Manage operational workflows -own ServiceNow queues, Microsoft Teams communities, and distribution lists to keep communication clear and responsive. Drive adoption -develop and maintain "how-to" documentation, self-service resources, and enablement materials that empower users. Ensure smooth migrations -audit and migrate user setups to production environments with accuracy and minimal disruption. Collaborate across teams -partner with platform engineers, lead observability engineers, and application teams to troubleshoot and resolve complex issues. Respond when it matters -participate in on-call rotations and incident bridge calls to support critical events. Support vendor solutions -assist with code and integrations provided by SaaS vendors for on-prem and adjacent systems. What You'll Bring Observability Platform Expertise Hands-on experience with tools like Splunk, Datadog, Grafana, BigPanda, or similar platforms, including configuration and troubleshooting. Technical Problem-Solving Strong diagnostic skills for resolving complex issues quickly and effectively. Customer Enablement & Communication Ability to explain technical concepts clearly to users of varying skill levels and create resources that simplify adoption. Operational Process Management Experience managing ITSM workflows (e.g., ServiceNow) and collaboration platforms (e.g., Microsoft Teams). Compliance & Best Practices Familiarity with observability standards, telemetry concepts, and configuration audits. Collaboration & Teamwork Proven ability to work across engineering, operations, and application teams to achieve shared goals. Qualifications Required 3+ years supporting observability platforms or similar enterprise systems. Strong troubleshooting and problem-solving skills. Familiarity with ITSM tools (e.g., ServiceNow) and collaboration platforms (e.g., Microsoft Teams). Understanding of observability concepts (metrics, logs, traces) and best practices. Ability to develop user documentation and self-service resources. Preferred Experience with tools like Datadog, Splunk, Grafana, BigPanda, or similar. Exposure to incident management processes and on-call participation. Knowledge of scripting or automation for configuration and migrations. Our People People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organization spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. LSEG Purpose and Values Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Underpinning our purpose, our values of Integrity, Partnership, Excellence and Change set the standard for everything we do, every day. They guide the way we interact with each other, the partners we work with and our customers. Delivering on our purpose and living up to our values is a responsibility that we all share.To achieve our ambitions through a strong culture, People Leaders need to role model our Values and create the culture for everyone at LSEG to be at their best. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides
05/05/2026
Full time
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. Role Summary We're looking for an Observability Platform Specialist who can combine technical expertise with a passion for enabling others. In this role, you'll ensure our observability platforms run smoothly, support users in adopting best practices, and help teams get the most out of our tools. You'll work closely with application teams, SREs, and platform engineers to drive maturity, resolve challenges, and deliver a seamless observability experience across the enterprise.If you're a problem-solver who thrives on collaboration, enjoys fine-tuning systems, and loves helping others succeed, this role is for you. What You'll Be Doing Support and enable users -triage and resolve requests, guide teams in configuring and using observability tools effectively. Promote best practices -review configurations for compliance, recommend improvements, and help teams mature their observability approach. Manage operational workflows -own ServiceNow queues, Microsoft Teams communities, and distribution lists to keep communication clear and responsive. Drive adoption -develop and maintain "how-to" documentation, self-service resources, and enablement materials that empower users. Ensure smooth migrations -audit and migrate user setups to production environments with accuracy and minimal disruption. Collaborate across teams -partner with platform engineers, lead observability engineers, and application teams to troubleshoot and resolve complex issues. Respond when it matters -participate in on-call rotations and incident bridge calls to support critical events. Support vendor solutions -assist with code and integrations provided by SaaS vendors for on-prem and adjacent systems. What You'll Bring Observability Platform Expertise Hands-on experience with tools like Splunk, Datadog, Grafana, BigPanda, or similar platforms, including configuration and troubleshooting. Technical Problem-Solving Strong diagnostic skills for resolving complex issues quickly and effectively. Customer Enablement & Communication Ability to explain technical concepts clearly to users of varying skill levels and create resources that simplify adoption. Operational Process Management Experience managing ITSM workflows (e.g., ServiceNow) and collaboration platforms (e.g., Microsoft Teams). Compliance & Best Practices Familiarity with observability standards, telemetry concepts, and configuration audits. Collaboration & Teamwork Proven ability to work across engineering, operations, and application teams to achieve shared goals. Qualifications Required 3+ years supporting observability platforms or similar enterprise systems. Strong troubleshooting and problem-solving skills. Familiarity with ITSM tools (e.g., ServiceNow) and collaboration platforms (e.g., Microsoft Teams). Understanding of observability concepts (metrics, logs, traces) and best practices. Ability to develop user documentation and self-service resources. Preferred Experience with tools like Datadog, Splunk, Grafana, BigPanda, or similar. Exposure to incident management processes and on-call participation. Knowledge of scripting or automation for configuration and migrations. Our People People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organization spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. LSEG Purpose and Values Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Underpinning our purpose, our values of Integrity, Partnership, Excellence and Change set the standard for everything we do, every day. They guide the way we interact with each other, the partners we work with and our customers. Delivering on our purpose and living up to our values is a responsibility that we all share.To achieve our ambitions through a strong culture, People Leaders need to role model our Values and create the culture for everyone at LSEG to be at their best. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides
Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production grade software systems. This is not a traditional people management role. Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI enabled software and DevOps engineering teams Set architectural direction for API first design, system integration, and platform enablement for AI Lead the modernisation of legacy or existing applications toward service based, API driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end to end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery focused leadership, not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long term maintainability Deep experience designing and delivering API driven and microservice based systems Proven ability to modernise or integrate legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Integrating software systems with AI platforms or AI enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol) Platform engineering or DevOps at scale Experience working in regulated or security conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
05/05/2026
Full time
Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production grade software systems. This is not a traditional people management role. Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI enabled software and DevOps engineering teams Set architectural direction for API first design, system integration, and platform enablement for AI Lead the modernisation of legacy or existing applications toward service based, API driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end to end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery focused leadership, not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long term maintainability Deep experience designing and delivering API driven and microservice based systems Proven ability to modernise or integrate legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Integrating software systems with AI platforms or AI enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol) Platform engineering or DevOps at scale Experience working in regulated or security conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
This role works within our innovative Data & Technology group that continues to evolve to meet business needs, fuel Parexel's growth and enable improved support for stakeholders, including customers and ultimately patients, who will benefit from Parexel's integrated processes and systems. The Senior Business Analyst works as part of our Business Engagement & Enablement department and partners closely with business and technical stakeholders to uncover the true needs of the organization and translate them into clear, actionable, and testable requirements. This role ensures solutions are designed with the end user in mind while meeting enterprise, quality, and regulatory expectations. This role can be based in the UK, Serbia, Romania or Poland and can be fully home based in any of those countries. Responsibilities Elicit and define business requirements Identify true business needs using a consulting mindset, distinguishing between "need" and "want." Gather, analyze, and refine business and functional requirements through stakeholder interviews, workshops, and documentation reviews. Produce clear, complete, and unambiguous requirements documentation, including functional requirements, user stories, process flows, and acceptance criteria. Maintain traceability and support test coverage Own and maintain requirements traceability matrices (RTMs) to ensure all requirements are fully tested. Partner with QA, Technology Quality Management, and delivery teams to validate requirements, acceptance criteria, and test scenarios. Support the definition of UAT criteria and scenarios and participate in UAT preparation, dry runs, and execution as needed. Facilitate workshops and stakeholder alignment Facilitate and co-chair workshops, interviews, and working sessions with cross-functional SMEs and stakeholders. Drive collaborative agreement, prioritization, and decision-making across business and technology teams. Communicate effectively with senior stakeholders, sponsors, and functional leaders to align on scope and outcomes. Translate business needs to technology delivery Act as the primary translator between business stakeholders and engineering teams, ensuring shared understanding of requirements and solution intent. Serve as the voice of the customer within Scrum or delivery teams when a business SME is not embedded. Assist in identifying technical capabilities and solution approaches that align with desired business outcomes. Partner with UX and Human Factors Engineering (HFE) specialists to ensure requirements support intuitive, user-centered solution design. Enable continuous improvement Apply Business Analysis best practices to continuously improve processes, standards, templates, and ways of working. Identify opportunities to streamline workflows and improve efficiency while maintaining quality and compliance. Contribute to the maturity of Business Analysis practices across initiatives and programs. Skills and Experience Strong consulting skills, including root cause analysis and the ability to distinguish between true needs and stated wants. Excellent verbal and written communication skills, with the ability to translate complex discussions into structured documentation. Proven ability to negotiate, influence, and build consensus with senior stakeholders. Strong requirements documentation and analytical skills. Ability to learn new domains quickly and share knowledge effectively across teams. Ability to work effectively in fast-paced, cross-functional, and globally distributed environments. Comfortable balancing multiple initiatives and priorities simultaneously. Experience with generative AI is preferential, including requirements drafting and refinement, process analysis and optimisation, workshop acceleration, test case support and backlog grooming assistance. Education Bachelor's degree in life sciences, computer science, or relevant discipline required. MSc/MBA/advanced degree preferred. Knowledge and Experience Advanced level Senior Business Analyst experience working in a technical environment within a regulated industry is essential. A strong understanding of clinical trials and previous CRO, Pharma or Biotech industry domain experience is desirable. A solid grounding in Business Analysis best practices and consulting behaviors. Familiarity with Computer System Validation (CSV), SDLC methodologies, and 21 CFR Part 11 concepts. Experience working within regulated environments such as pharmaceutical, biotech, or CRO organizations. Experience supporting project delivery within established Project Lifecycle (PLC) frameworks. Benefits In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary, holiday as well as other leading benefits you would expect with a top company in the CRO Industry.
04/05/2026
Full time
This role works within our innovative Data & Technology group that continues to evolve to meet business needs, fuel Parexel's growth and enable improved support for stakeholders, including customers and ultimately patients, who will benefit from Parexel's integrated processes and systems. The Senior Business Analyst works as part of our Business Engagement & Enablement department and partners closely with business and technical stakeholders to uncover the true needs of the organization and translate them into clear, actionable, and testable requirements. This role ensures solutions are designed with the end user in mind while meeting enterprise, quality, and regulatory expectations. This role can be based in the UK, Serbia, Romania or Poland and can be fully home based in any of those countries. Responsibilities Elicit and define business requirements Identify true business needs using a consulting mindset, distinguishing between "need" and "want." Gather, analyze, and refine business and functional requirements through stakeholder interviews, workshops, and documentation reviews. Produce clear, complete, and unambiguous requirements documentation, including functional requirements, user stories, process flows, and acceptance criteria. Maintain traceability and support test coverage Own and maintain requirements traceability matrices (RTMs) to ensure all requirements are fully tested. Partner with QA, Technology Quality Management, and delivery teams to validate requirements, acceptance criteria, and test scenarios. Support the definition of UAT criteria and scenarios and participate in UAT preparation, dry runs, and execution as needed. Facilitate workshops and stakeholder alignment Facilitate and co-chair workshops, interviews, and working sessions with cross-functional SMEs and stakeholders. Drive collaborative agreement, prioritization, and decision-making across business and technology teams. Communicate effectively with senior stakeholders, sponsors, and functional leaders to align on scope and outcomes. Translate business needs to technology delivery Act as the primary translator between business stakeholders and engineering teams, ensuring shared understanding of requirements and solution intent. Serve as the voice of the customer within Scrum or delivery teams when a business SME is not embedded. Assist in identifying technical capabilities and solution approaches that align with desired business outcomes. Partner with UX and Human Factors Engineering (HFE) specialists to ensure requirements support intuitive, user-centered solution design. Enable continuous improvement Apply Business Analysis best practices to continuously improve processes, standards, templates, and ways of working. Identify opportunities to streamline workflows and improve efficiency while maintaining quality and compliance. Contribute to the maturity of Business Analysis practices across initiatives and programs. Skills and Experience Strong consulting skills, including root cause analysis and the ability to distinguish between true needs and stated wants. Excellent verbal and written communication skills, with the ability to translate complex discussions into structured documentation. Proven ability to negotiate, influence, and build consensus with senior stakeholders. Strong requirements documentation and analytical skills. Ability to learn new domains quickly and share knowledge effectively across teams. Ability to work effectively in fast-paced, cross-functional, and globally distributed environments. Comfortable balancing multiple initiatives and priorities simultaneously. Experience with generative AI is preferential, including requirements drafting and refinement, process analysis and optimisation, workshop acceleration, test case support and backlog grooming assistance. Education Bachelor's degree in life sciences, computer science, or relevant discipline required. MSc/MBA/advanced degree preferred. Knowledge and Experience Advanced level Senior Business Analyst experience working in a technical environment within a regulated industry is essential. A strong understanding of clinical trials and previous CRO, Pharma or Biotech industry domain experience is desirable. A solid grounding in Business Analysis best practices and consulting behaviors. Familiarity with Computer System Validation (CSV), SDLC methodologies, and 21 CFR Part 11 concepts. Experience working within regulated environments such as pharmaceutical, biotech, or CRO organizations. Experience supporting project delivery within established Project Lifecycle (PLC) frameworks. Benefits In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary, holiday as well as other leading benefits you would expect with a top company in the CRO Industry.
Ernst & Young Advisory Services Sdn Bhd
Birmingham, Staffordshire
Location: Birmingham Other locations: Anywhere in Region Date: 30 Apr 2026 Requisition ID: The opportunity The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business relevant insights, and creating a compelling story to be communicated to key stakeholders and talent executive leadership. The person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Essential Functions Utilize data science to conduct research on business topics relevant for digital insights team. Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent & SL functional teams. Identify creative approaches to answer research questions. Use your understanding of what is possible with data science to brainstorm creative analytical solutions to test. Rapidly test potential approaches. Stand up simple analyses to demonstrate what's possible and test feasibility. Co develop research plan. Work closely with other Digital team members and business stakeholders to help shape the research approach and potential output. Collect and clean data. Identify relevant data sources (internal and external) and program or leverage existing tools to acquire the data (e.g. SQL, APIs, scrapers, etc.) and test quality. Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account. Work on strategic and operational workforce planning modelling to enable short term and long term planning looking at the impact of offshore, automation, and skills while optimising the cost model. Generate innovative analytical ideas by staying up to date on latest tools and methodologies. Provide subject matter expertise on key domain related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis. Champion the value of analytics and data driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics. Design data & insights model to cater to data visualization and be accountable for provision of advanced and predictive analytics to deliver robust analyses and support the delivery of insights to the Talent Executive teams. Perform analyses. Independently conduct rigorous statistical analyses in Python or R. Most research projects will utilise quantitative modelling, statistics, or machine learning (especially text analytics). Identify insights and communicate findings. Create a compelling story that articulates key insights to non technical audiences through PowerPoint and/or Business Intelligence platforms (e.g. PowerBI). Analytical/Decision Making Responsibilities Use scientific methods and technologies to analyse data, develop models and deliver solutions to the business. Data modelling and management, integration and manipulation of large disparate datasets (i.e. structured, semi structured or unstructured). Translate complex analytical results into actionable recommendations. Knowledge and Skills Requirements Experience applying a broad range of data science techniques. Key areas include text analytics, clustering, time series analysis, multivariate regression, predictive modelling, and significance testing. Demonstrable understanding of statistics and mathematical concepts relevant to data science. Experience with data wrangling, cleansing, and data engineering for data science applications. Experience in advanced data visualization tools, such as Tableau, Spotfire, Qlikview and others for integration between disparate data sources, design and implementation of KPIs and generation of automatic and scalable visualizations that will facilitate extraction of business insights. Ability to participate effectively in virtual teams and networks across diverse and dispersed geographies. Strong teaming skills; collaborate effectively across talent ecosystem, within the digital team and the firm at large. Strong communication skills for sharing thought leadership across EY and externally to enhance EY reputation. Strong organisational skills and attention to detail - the ability to operate within budget and effective time frames. Strong research and analytical skills to track and interpret trending directions for data analytics and also to identify potential future options. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities Work closely with the Leads across the Digital and wider Talent Functions to ensure the provision of services that support business and functional delivery. Develop digital capabilities, define key digital competencies for the team, and ensure provision of learning to advance skills. Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements Education: Educated to degree level. Higher professional or masters qualification is preferred, not required. Certification Requirements: Higher professional or masters qualification in a related discipline is preferred, not required. Active membership in related professional bodies or industry groups is preferred, not required. Experience: Significant experience in a closely related data analytics / data / insights driven role. Experience of developing and implementing operational standards and processes to achieve required outcomes. Experience of having worked on digital analytics design / process or analytical planning and development initiatives. Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills. Demonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions. Demonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights and analytical solutions from design to enablement. Experience of leading and participating in global dispersed teams to enhance services, processes, and standards. Demonstrable experience of working in fast paced, ambiguous, stressful environments to deliver required results. Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges. Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements. Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes. What we offer you At EY, we'll develop you with future focused skills and equip you with world class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
04/05/2026
Full time
Location: Birmingham Other locations: Anywhere in Region Date: 30 Apr 2026 Requisition ID: The opportunity The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business relevant insights, and creating a compelling story to be communicated to key stakeholders and talent executive leadership. The person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Essential Functions Utilize data science to conduct research on business topics relevant for digital insights team. Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent & SL functional teams. Identify creative approaches to answer research questions. Use your understanding of what is possible with data science to brainstorm creative analytical solutions to test. Rapidly test potential approaches. Stand up simple analyses to demonstrate what's possible and test feasibility. Co develop research plan. Work closely with other Digital team members and business stakeholders to help shape the research approach and potential output. Collect and clean data. Identify relevant data sources (internal and external) and program or leverage existing tools to acquire the data (e.g. SQL, APIs, scrapers, etc.) and test quality. Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account. Work on strategic and operational workforce planning modelling to enable short term and long term planning looking at the impact of offshore, automation, and skills while optimising the cost model. Generate innovative analytical ideas by staying up to date on latest tools and methodologies. Provide subject matter expertise on key domain related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis. Champion the value of analytics and data driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics. Design data & insights model to cater to data visualization and be accountable for provision of advanced and predictive analytics to deliver robust analyses and support the delivery of insights to the Talent Executive teams. Perform analyses. Independently conduct rigorous statistical analyses in Python or R. Most research projects will utilise quantitative modelling, statistics, or machine learning (especially text analytics). Identify insights and communicate findings. Create a compelling story that articulates key insights to non technical audiences through PowerPoint and/or Business Intelligence platforms (e.g. PowerBI). Analytical/Decision Making Responsibilities Use scientific methods and technologies to analyse data, develop models and deliver solutions to the business. Data modelling and management, integration and manipulation of large disparate datasets (i.e. structured, semi structured or unstructured). Translate complex analytical results into actionable recommendations. Knowledge and Skills Requirements Experience applying a broad range of data science techniques. Key areas include text analytics, clustering, time series analysis, multivariate regression, predictive modelling, and significance testing. Demonstrable understanding of statistics and mathematical concepts relevant to data science. Experience with data wrangling, cleansing, and data engineering for data science applications. Experience in advanced data visualization tools, such as Tableau, Spotfire, Qlikview and others for integration between disparate data sources, design and implementation of KPIs and generation of automatic and scalable visualizations that will facilitate extraction of business insights. Ability to participate effectively in virtual teams and networks across diverse and dispersed geographies. Strong teaming skills; collaborate effectively across talent ecosystem, within the digital team and the firm at large. Strong communication skills for sharing thought leadership across EY and externally to enhance EY reputation. Strong organisational skills and attention to detail - the ability to operate within budget and effective time frames. Strong research and analytical skills to track and interpret trending directions for data analytics and also to identify potential future options. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities Work closely with the Leads across the Digital and wider Talent Functions to ensure the provision of services that support business and functional delivery. Develop digital capabilities, define key digital competencies for the team, and ensure provision of learning to advance skills. Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements Education: Educated to degree level. Higher professional or masters qualification is preferred, not required. Certification Requirements: Higher professional or masters qualification in a related discipline is preferred, not required. Active membership in related professional bodies or industry groups is preferred, not required. Experience: Significant experience in a closely related data analytics / data / insights driven role. Experience of developing and implementing operational standards and processes to achieve required outcomes. Experience of having worked on digital analytics design / process or analytical planning and development initiatives. Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills. Demonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions. Demonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights and analytical solutions from design to enablement. Experience of leading and participating in global dispersed teams to enhance services, processes, and standards. Demonstrable experience of working in fast paced, ambiguous, stressful environments to deliver required results. Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges. Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements. Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes. What we offer you At EY, we'll develop you with future focused skills and equip you with world class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
About the Opportunity As a Senior Product Operations Manager (f/m/d), you'll work at the intersection of people, process, and product. Embedded within the product team-partnering closely with Product Managers, Designers, and Researchers and cross functional teams-you'll lead initiatives that improve the way we plan, build, and deliver. You'll build scalable systems, implement effective tooling, and lead operational programs that improve efficiency, increase transparency, and support leadership in strategic decision making. What to Expect Drive Operational Excellence: Optimize product development workflows, team rituals, and cross functional coordination to enable high impact work. Program Execution: Lead the planning and change management of complex product operations initiatives, ensuring alignment with company objectives and timely execution. Tooling & Automation: Identify, implement, and maintain the right tools and automations to streamline workflows, improve visibility, and reduce manual effort. Reporting & Metrics: Analyze reports to gain insights and work with Business Analysts on improvement initiatives. Risk & Dependency Management: Proactively identify operational risks, interdependencies, and roadblocks-and drive resolution across teams. Training & Enablement: Develop documentation, onboarding resources, and training programs that empower product managers and team leads to work efficiently. Cross Functional Communication: Facilitate clear and consistent communication between product, design, engineering, marketing, and customer success teams. Product Advocacy: Champion the role and impact of product operations across the organization to ensure alignment, transparency, and collaboration. Global Collaboration: Work effectively with globally distributed teams, building strong relationships across time zones and cultural contexts. What you need to be successful 5+ years of experience in Product Operations, Program Management, or a similar role-ideally in a B2B SaaS company. Proven track record of leading and scaling operational processes in cross functional product organizations. Familiarity with tools like Jira, Confluence, Asana, and Coupa, and experience managing data/reporting platforms (e.g., Looker, Tableau, Google Sheets). Strong analytical skills with the ability to define and track operational KPIs. A systems thinker with strong organizational skills, strategic mindset, and attention to detail. Excellent communication and stakeholder management skills; able to influence across all levels of the company. Experience working in or with globally distributed teams. Familiarity with technical domains (e.g., automation, AI/ML, personalization, analytics) is a plus. What's in it for you? Join an ambitious tech company reshaping the way people build digital experiences Full time employees receive Stock Options for the opportunity to share in the success of our company Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. We value Work Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days Time off to care for and focus on your growing family Use your personal annual education budget to improve your skills and grow in your career Enjoy a full range of virtual and in person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties An annual wellbeing stipend to care for your physical, financial, or emotional health A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. Who are we? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real time experimentation, powering next generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. Everyone is welcome here! "Everyone is welcome here" is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at with any information you may have. By clicking "Apply for this job," I acknowledge that I have read the "Contentful's Candidate Privacy Notice" and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
04/05/2026
Full time
About the Opportunity As a Senior Product Operations Manager (f/m/d), you'll work at the intersection of people, process, and product. Embedded within the product team-partnering closely with Product Managers, Designers, and Researchers and cross functional teams-you'll lead initiatives that improve the way we plan, build, and deliver. You'll build scalable systems, implement effective tooling, and lead operational programs that improve efficiency, increase transparency, and support leadership in strategic decision making. What to Expect Drive Operational Excellence: Optimize product development workflows, team rituals, and cross functional coordination to enable high impact work. Program Execution: Lead the planning and change management of complex product operations initiatives, ensuring alignment with company objectives and timely execution. Tooling & Automation: Identify, implement, and maintain the right tools and automations to streamline workflows, improve visibility, and reduce manual effort. Reporting & Metrics: Analyze reports to gain insights and work with Business Analysts on improvement initiatives. Risk & Dependency Management: Proactively identify operational risks, interdependencies, and roadblocks-and drive resolution across teams. Training & Enablement: Develop documentation, onboarding resources, and training programs that empower product managers and team leads to work efficiently. Cross Functional Communication: Facilitate clear and consistent communication between product, design, engineering, marketing, and customer success teams. Product Advocacy: Champion the role and impact of product operations across the organization to ensure alignment, transparency, and collaboration. Global Collaboration: Work effectively with globally distributed teams, building strong relationships across time zones and cultural contexts. What you need to be successful 5+ years of experience in Product Operations, Program Management, or a similar role-ideally in a B2B SaaS company. Proven track record of leading and scaling operational processes in cross functional product organizations. Familiarity with tools like Jira, Confluence, Asana, and Coupa, and experience managing data/reporting platforms (e.g., Looker, Tableau, Google Sheets). Strong analytical skills with the ability to define and track operational KPIs. A systems thinker with strong organizational skills, strategic mindset, and attention to detail. Excellent communication and stakeholder management skills; able to influence across all levels of the company. Experience working in or with globally distributed teams. Familiarity with technical domains (e.g., automation, AI/ML, personalization, analytics) is a plus. What's in it for you? Join an ambitious tech company reshaping the way people build digital experiences Full time employees receive Stock Options for the opportunity to share in the success of our company Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. We value Work Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days Time off to care for and focus on your growing family Use your personal annual education budget to improve your skills and grow in your career Enjoy a full range of virtual and in person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties An annual wellbeing stipend to care for your physical, financial, or emotional health A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. Who are we? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real time experimentation, powering next generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. Everyone is welcome here! "Everyone is welcome here" is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at with any information you may have. By clicking "Apply for this job," I acknowledge that I have read the "Contentful's Candidate Privacy Notice" and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Role: Head of Product Reports to: Head of Technology Location: Remote working (UK based). We are currently a remote first organisation, but hybrid working may be an option in the future. Salary: Circa £100k p.a., depending on experience, plus equity and benefits Hours: Full time, 37.5 hours per week Please note: All communication regarding your application should go through the official application channels or our company careers page. Contacting Vestd employees via email, personal social media, or other informal routes is not appropriate. We also have a zero tolerance approach to any form of harassment or abuse directed at our team. Candidates who do not respect these boundaries may be disqualified from the recruitment process and, in serious cases, barred from applying in future. About Vestd Vestd is a leading sharetech platform for equity management - share schemes, fund raising, company secretarial and much more. Our regulated platform makes light work of all of the most popular and tax efficient share scheme types, empowering businesses to attract and retain their talent. Our powerful software also helps investors, and founders seeking investment. Vestd was founded by Ifty Nasir, who lives and breathes our mission. Vestd's big moonshot aim is to see one billion people worldwide invested in the companies they work hard to grow by 2030. We are all about inclusion and fairness for our customers and our team. Vestd is a B Corp certified company, which means we're committed to balancing profit with purpose. Equality, diversity and inclusion (EDI) at Vestd At Vestd, we prioritise equality, diversity, and inclusion, so we write about it here rather than at the end of the job advertisement. We're committed to building a respectful, inclusive, and diverse team. Trust is one of our core values; with that comes a commitment to fairness and transparency. We want to be open about our EDI efforts. Research shows that while men are likely to apply when they meet 60% of a job's requirements, women and individuals from underrepresented groups often apply only when they meet every criterion. We understand the value of transferable skills and the unique perspectives that diversity brings. That's why we encourage applications from candidates with unique strengths and experiences. If you need any adjustments or support with your application, please let us know in your application or throughout the process. The role We're looking for an experienced, strategic and hands on Head of Product to lead and evolve Vestd's product function through its next stage of growth. This is a critical leadership role, responsible for defining product vision, shaping strategy, owning roadmap delivery, and ensuring we continue building category leading equity management software for founders, finance teams, employees, advisors and investors. This role requires a strong balance of strategic thinking and practical execution. You will work closely with Engineering, Design, Revenue, Customer Success and Leadership to ensure our product strategy supports business growth, customer retention and market differentiation. AI capability is a critical part of this role. We are looking for someone who can demonstrate practical, thoughtful application of AI within product development, internal processes or customer experience - and who can identify meaningful opportunities for AI to improve how we build and deliver product. This role would suit someone who enjoys building, improving and scaling product functions in fast moving environments and who can bring structure, challenge and clarity as we grow. The primary responsibilities of this role We cannot provide an exhaustive list of duties; additional duties will arise, but the following will be core elements of this role: Product Vision & Strategy Define and lead Vestd's product vision, strategy and long term roadmap aligned to company goals and growth priorities. Translate business objectives, customer needs and market opportunities into a clear and actionable product strategy. Identify new product opportunities across equity management, share schemes, valuations, compliance and investor reporting. Embed AI thinking into product strategy and identify meaningful opportunities to improve customer experience, internal efficiency and product capability. Monitor market trends, customer behaviour and competitor activity to inform strategic decision making. Roadmap Ownership & Delivery Own and prioritise the product roadmap, balancing customer value, commercial impact and technical feasibility. Ensure roadmap priorities are clearly communicated and aligned across Product, Engineering and commercial teams. Drive product delivery with clear ownership, realistic planning and strong delivery discipline. Balance short term improvements with long term strategic product development. Support integration strategy across key connected platforms including payroll, HRIS, legal and finance systems. Execution & Leadership Own the end to end product lifecycle from discovery through to launch, iteration and optimisation. Lead, coach and develop Product Managers and support the growth of the wider product function. Improve product operating frameworks, processes and decision making practices. Build a high performing product culture centred around accountability, collaboration and continuous improvement. Bring structure and challenge to product decision making as the business scales. Customer Insight & Research Deeply understand user needs across founders, CFOs, legal teams, HR, employees, investors and advisors. Regularly run discovery interviews, usability sessions and validation workshops. Translate insights into actionable product opportunities. Lead product discovery, customer research and validation activities to deeply understand customer needs. Conduct user interviews, usability testing and discovery workshops to inform product direction. Translate customer feedback, behavioural insight and usage data into product opportunities. Build strong customer empathy across multiple user groups including founders, finance teams, employees and advisors. Use experimentation and testing to validate product ideas and reduce delivery risk. Cross Functional Enablement Partner closely with Engineering and Design to ensure effective product development and delivery. Work collaboratively with Revenue, Partnerships, Marketing and Customer Success to support product launches and adoption. Align product priorities with commercial goals and customer retention strategies. Support internal product training and enablement to improve product knowledge across the business. Act as a strong product voice across the wider leadership team. Operational Excellence Use product analytics and data to measure product performance, adoption and customer engagement. Track and improve key product metrics including usage, retention and feature success. Establish strong product processes, documentation and governance frameworks. Improve delivery efficiency, product quality and decision making consistency. Use AI and automation where appropriate to improve internal product operations and workflows. Equity Domain Expertise (Can Learn in Role) Build strong knowledge of equity management, cap table structures and share schemes including EMI and CSOP. Develop understanding of valuations, tax implications and investor reporting requirements. Work closely with internal and external subject matter experts to translate complex equity concepts into intuitive product experiences. Stay informed on relevant regulatory and compliance developments affecting the product. Use domain knowledge to strengthen Vestd's market position and customer value proposition. Essential elements for this role These are the skills and qualifications we consider important for this role: 7+ years in Product Management, including at least 3 years in a senior product leadership role. Strong experience in B2B SaaS product leadership. Experience building and scaling complex multi stakeholder software products. Demonstrable practical application of AI in product development, operational efficiency or customer experience. Strong strategic product thinking with hands on execution capability. Experience improving product operating models, product processes and delivery frameworks. Strong commercial awareness and ability to connect product decisions to business outcomes. Excellent product discovery, research and experimentation capability. Strong data led decision making and analytical capability. Experience leading, coaching and developing product professionals. Excellent cross functional stakeholder management skills. Experience working with APIs, integrations and connected product ecosystems. Nice to have These will help you stand out from the pack: Experience in equity management, share schemes or cap table software. Experience in FinTech, HRTech, payroll, legal tech or compliance focused SaaS. Experience in regulated or compliance heavy product environments. Experience in product led growth or onboarding optimisation. Experience using product analytics platforms such as Amplitude, Mixpanel or similar. . click apply for full job details
04/05/2026
Full time
Role: Head of Product Reports to: Head of Technology Location: Remote working (UK based). We are currently a remote first organisation, but hybrid working may be an option in the future. Salary: Circa £100k p.a., depending on experience, plus equity and benefits Hours: Full time, 37.5 hours per week Please note: All communication regarding your application should go through the official application channels or our company careers page. Contacting Vestd employees via email, personal social media, or other informal routes is not appropriate. We also have a zero tolerance approach to any form of harassment or abuse directed at our team. Candidates who do not respect these boundaries may be disqualified from the recruitment process and, in serious cases, barred from applying in future. About Vestd Vestd is a leading sharetech platform for equity management - share schemes, fund raising, company secretarial and much more. Our regulated platform makes light work of all of the most popular and tax efficient share scheme types, empowering businesses to attract and retain their talent. Our powerful software also helps investors, and founders seeking investment. Vestd was founded by Ifty Nasir, who lives and breathes our mission. Vestd's big moonshot aim is to see one billion people worldwide invested in the companies they work hard to grow by 2030. We are all about inclusion and fairness for our customers and our team. Vestd is a B Corp certified company, which means we're committed to balancing profit with purpose. Equality, diversity and inclusion (EDI) at Vestd At Vestd, we prioritise equality, diversity, and inclusion, so we write about it here rather than at the end of the job advertisement. We're committed to building a respectful, inclusive, and diverse team. Trust is one of our core values; with that comes a commitment to fairness and transparency. We want to be open about our EDI efforts. Research shows that while men are likely to apply when they meet 60% of a job's requirements, women and individuals from underrepresented groups often apply only when they meet every criterion. We understand the value of transferable skills and the unique perspectives that diversity brings. That's why we encourage applications from candidates with unique strengths and experiences. If you need any adjustments or support with your application, please let us know in your application or throughout the process. The role We're looking for an experienced, strategic and hands on Head of Product to lead and evolve Vestd's product function through its next stage of growth. This is a critical leadership role, responsible for defining product vision, shaping strategy, owning roadmap delivery, and ensuring we continue building category leading equity management software for founders, finance teams, employees, advisors and investors. This role requires a strong balance of strategic thinking and practical execution. You will work closely with Engineering, Design, Revenue, Customer Success and Leadership to ensure our product strategy supports business growth, customer retention and market differentiation. AI capability is a critical part of this role. We are looking for someone who can demonstrate practical, thoughtful application of AI within product development, internal processes or customer experience - and who can identify meaningful opportunities for AI to improve how we build and deliver product. This role would suit someone who enjoys building, improving and scaling product functions in fast moving environments and who can bring structure, challenge and clarity as we grow. The primary responsibilities of this role We cannot provide an exhaustive list of duties; additional duties will arise, but the following will be core elements of this role: Product Vision & Strategy Define and lead Vestd's product vision, strategy and long term roadmap aligned to company goals and growth priorities. Translate business objectives, customer needs and market opportunities into a clear and actionable product strategy. Identify new product opportunities across equity management, share schemes, valuations, compliance and investor reporting. Embed AI thinking into product strategy and identify meaningful opportunities to improve customer experience, internal efficiency and product capability. Monitor market trends, customer behaviour and competitor activity to inform strategic decision making. Roadmap Ownership & Delivery Own and prioritise the product roadmap, balancing customer value, commercial impact and technical feasibility. Ensure roadmap priorities are clearly communicated and aligned across Product, Engineering and commercial teams. Drive product delivery with clear ownership, realistic planning and strong delivery discipline. Balance short term improvements with long term strategic product development. Support integration strategy across key connected platforms including payroll, HRIS, legal and finance systems. Execution & Leadership Own the end to end product lifecycle from discovery through to launch, iteration and optimisation. Lead, coach and develop Product Managers and support the growth of the wider product function. Improve product operating frameworks, processes and decision making practices. Build a high performing product culture centred around accountability, collaboration and continuous improvement. Bring structure and challenge to product decision making as the business scales. Customer Insight & Research Deeply understand user needs across founders, CFOs, legal teams, HR, employees, investors and advisors. Regularly run discovery interviews, usability sessions and validation workshops. Translate insights into actionable product opportunities. Lead product discovery, customer research and validation activities to deeply understand customer needs. Conduct user interviews, usability testing and discovery workshops to inform product direction. Translate customer feedback, behavioural insight and usage data into product opportunities. Build strong customer empathy across multiple user groups including founders, finance teams, employees and advisors. Use experimentation and testing to validate product ideas and reduce delivery risk. Cross Functional Enablement Partner closely with Engineering and Design to ensure effective product development and delivery. Work collaboratively with Revenue, Partnerships, Marketing and Customer Success to support product launches and adoption. Align product priorities with commercial goals and customer retention strategies. Support internal product training and enablement to improve product knowledge across the business. Act as a strong product voice across the wider leadership team. Operational Excellence Use product analytics and data to measure product performance, adoption and customer engagement. Track and improve key product metrics including usage, retention and feature success. Establish strong product processes, documentation and governance frameworks. Improve delivery efficiency, product quality and decision making consistency. Use AI and automation where appropriate to improve internal product operations and workflows. Equity Domain Expertise (Can Learn in Role) Build strong knowledge of equity management, cap table structures and share schemes including EMI and CSOP. Develop understanding of valuations, tax implications and investor reporting requirements. Work closely with internal and external subject matter experts to translate complex equity concepts into intuitive product experiences. Stay informed on relevant regulatory and compliance developments affecting the product. Use domain knowledge to strengthen Vestd's market position and customer value proposition. Essential elements for this role These are the skills and qualifications we consider important for this role: 7+ years in Product Management, including at least 3 years in a senior product leadership role. Strong experience in B2B SaaS product leadership. Experience building and scaling complex multi stakeholder software products. Demonstrable practical application of AI in product development, operational efficiency or customer experience. Strong strategic product thinking with hands on execution capability. Experience improving product operating models, product processes and delivery frameworks. Strong commercial awareness and ability to connect product decisions to business outcomes. Excellent product discovery, research and experimentation capability. Strong data led decision making and analytical capability. Experience leading, coaching and developing product professionals. Excellent cross functional stakeholder management skills. Experience working with APIs, integrations and connected product ecosystems. Nice to have These will help you stand out from the pack: Experience in equity management, share schemes or cap table software. Experience in FinTech, HRTech, payroll, legal tech or compliance focused SaaS. Experience in regulated or compliance heavy product environments. Experience in product led growth or onboarding optimisation. Experience using product analytics platforms such as Amplitude, Mixpanel or similar. . click apply for full job details
The Financial Times is one of the world's leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you're given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you'll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you'll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Diversity, Equity and Inclusion We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role We're looking for a Senior iOS Engineer who is passionate about building a scalable, reliable mobile platform and enabling teams across the organisation to contribute confidently and independently to the FT's award-winning digital products. You'll join the Mobile Apps team, a multidisciplinary, cross-functional group focused on delivering an outstanding mobile experience for our world class news. You'll collaborate closely with engineers, product managers, business analysts and designers to build and evolve a premium mobile application and platform for our customers. What You'll Do Define and evolve iOS platform boundaries (native vs shared vs web layers) Ensure performance, reliability, and UX consistency as contribution scales across multiple teams Make architectural trade-offs across native, hybrid and shared approaches Identify and address platform risks (performance, memory, app size, offline behaviour) Define and enforce native constraints (performance, memory, app size, lifecycle) to protect platform integrity Contribution Enablement & Guardrails Define and evolve guardrails and constraints that enable safe contribution at scale Guide teams on how to build within platform boundaries Reduce reliance on central ownership through systems and tooling Collaborate with teams to improve quality without blocking delivery Delivery & Engineering Excellence Build and maintain high-quality iOS features and platform capabilities where native expertise is required Work with hybrid technologies (webviews, shared logic) where required Collaborate with cross-functional teams to deliver high-impact outcomes Contribute to continuous improvement of engineering practices Use automated tooling and systems to ensure high quality outcomes throughout delivery. What You'll Bring Deep expertise in Swift and iOS platform internals (performance, lifecycle, memory) Strong architectural judgement across native, shared and web approaches Experience working on large-scale mobile applications with multiple contributors Ability to define platform boundaries and make pragmatic trade-offs Experience enabling teams to contribute safely without central ownership Strong problem-solving skills across complex technical systems Excellent communication and ability to influence across teams Experience working with Kotlin Multiplatform or shared code approaches Experience working with Apple's in-app purchase ecosystem (StoreKit), including subscription models, entitlements, and edge cases (restoration, retries, offline behaviour) Experience in hybrid app architectures (webviews, JS integration) Familiarity with observability and performance monitoring tools Experience influencing engineering practices across teams Experience supporting teams through architectural or platform transitions What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best-in class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here. We've embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.
03/05/2026
Full time
The Financial Times is one of the world's leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you're given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you'll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you'll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Diversity, Equity and Inclusion We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role We're looking for a Senior iOS Engineer who is passionate about building a scalable, reliable mobile platform and enabling teams across the organisation to contribute confidently and independently to the FT's award-winning digital products. You'll join the Mobile Apps team, a multidisciplinary, cross-functional group focused on delivering an outstanding mobile experience for our world class news. You'll collaborate closely with engineers, product managers, business analysts and designers to build and evolve a premium mobile application and platform for our customers. What You'll Do Define and evolve iOS platform boundaries (native vs shared vs web layers) Ensure performance, reliability, and UX consistency as contribution scales across multiple teams Make architectural trade-offs across native, hybrid and shared approaches Identify and address platform risks (performance, memory, app size, offline behaviour) Define and enforce native constraints (performance, memory, app size, lifecycle) to protect platform integrity Contribution Enablement & Guardrails Define and evolve guardrails and constraints that enable safe contribution at scale Guide teams on how to build within platform boundaries Reduce reliance on central ownership through systems and tooling Collaborate with teams to improve quality without blocking delivery Delivery & Engineering Excellence Build and maintain high-quality iOS features and platform capabilities where native expertise is required Work with hybrid technologies (webviews, shared logic) where required Collaborate with cross-functional teams to deliver high-impact outcomes Contribute to continuous improvement of engineering practices Use automated tooling and systems to ensure high quality outcomes throughout delivery. What You'll Bring Deep expertise in Swift and iOS platform internals (performance, lifecycle, memory) Strong architectural judgement across native, shared and web approaches Experience working on large-scale mobile applications with multiple contributors Ability to define platform boundaries and make pragmatic trade-offs Experience enabling teams to contribute safely without central ownership Strong problem-solving skills across complex technical systems Excellent communication and ability to influence across teams Experience working with Kotlin Multiplatform or shared code approaches Experience working with Apple's in-app purchase ecosystem (StoreKit), including subscription models, entitlements, and edge cases (restoration, retries, offline behaviour) Experience in hybrid app architectures (webviews, JS integration) Familiarity with observability and performance monitoring tools Experience influencing engineering practices across teams Experience supporting teams through architectural or platform transitions What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best-in class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here. We've embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
03/05/2026
Full time
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
03/05/2026
Full time
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Make an Impact at RSM UK We are searching for an experienced Azure Engineer and Architect. As one of the world's largest networks of Audit, Tax and Consulting firms, RSM delivers big ideas and premium service to help businesses thrive. We are fast growing with big ambitions. If you are looking for a firm where you can build a future and make an impact, then this is the place for you. Our Consulting business brings together diverse advisory experts to deliver six core solutions: Business Transformation, Forensic, Deal Services, Restructuring, Finance Function Support and Risk and Governance. With a bold and ambitious strategy for the next phase, Consulting is investing in its own digital and technology platforms to enable innovation, automation and scalable delivery across our services. As part of this, we are establishing a Consulting owned and managed Azure environment, operating within firm wide guardrails but designed specifically to meet Consulting's delivery, innovation and regulatory needs. This role will play a critical technical and leadership role in designing, building and governing that environment. Reporting into Consulting Platforms lead, the Consulting Azure Engineer and Architect will work closely with Consulting Digital leadership, delivery teams and internal IT (National Technology (NT Cloud Core and Security teams. The role combines architecture, engineering and platform ownership, and requires someone equally comfortable shaping strategy, defining standards, and rolling up their sleeves to implement solutions. Responsibilities You'll make an impact by: Azure Platform Ownership & Architecture - Own and design Consulting's Azure platform, defining target architecture, environments, shared services and reusable components that enable secure, scalable and innovative delivery. Governance & Design Authority - Act as the Azure design authority for Consulting, defining standards, patterns and guardrails in alignment with firm wide policies, and ensuring compliant, proportionate platform use. Security, Risk & Compliance by Design - Embed security by design principles across the platform, working closely with Security, Risk and Privacy teams to meet regulatory, legal and InfoSec requirements. FinOps & Operational Excellence - Lead cost management and FinOps practices, and define operational processes covering provisioning, monitoring, resilience, disaster recovery and continuous platform improvement. Hands on Engineering & Enablement - Build and configure core Azure platform components, support team onboarding, and act as a technical mentor and escalation point for Azure across Consulting. Qualifications You will be a technically strong, pragmatic and collaborative Azure specialist who combines systems thinking with a delivery mindset. Here's what we're looking for in our ideal candidate: Significant hands on experience designing and operating Azure environments in a regulated or enterprise context. Strong understanding of Azure core services, including: Identity (Entra ID, RBAC, managed identities) Networking (VNets, private endpoints, firewalls, connectivity patterns) Security services and monitoring Azure governance (Policy, Blueprints / equivalents) Experience defining platform level architectures, not just individual workloads. Practical experience implementing infrastructure using automation and infrastructure as code. Strong understanding of cloud operating models, including environment management, governance and FinOps. Confidence working with senior stakeholders and cross functional teams, including the ability to challenge constructively. What we can offer you We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work. Hybrid and Flexible working. 27 Days Holiday (with the option of purchasing additional days). Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP. Access to a suite of 300+ courses on demand developed by our in house Talent Development team.
03/05/2026
Full time
Make an Impact at RSM UK We are searching for an experienced Azure Engineer and Architect. As one of the world's largest networks of Audit, Tax and Consulting firms, RSM delivers big ideas and premium service to help businesses thrive. We are fast growing with big ambitions. If you are looking for a firm where you can build a future and make an impact, then this is the place for you. Our Consulting business brings together diverse advisory experts to deliver six core solutions: Business Transformation, Forensic, Deal Services, Restructuring, Finance Function Support and Risk and Governance. With a bold and ambitious strategy for the next phase, Consulting is investing in its own digital and technology platforms to enable innovation, automation and scalable delivery across our services. As part of this, we are establishing a Consulting owned and managed Azure environment, operating within firm wide guardrails but designed specifically to meet Consulting's delivery, innovation and regulatory needs. This role will play a critical technical and leadership role in designing, building and governing that environment. Reporting into Consulting Platforms lead, the Consulting Azure Engineer and Architect will work closely with Consulting Digital leadership, delivery teams and internal IT (National Technology (NT Cloud Core and Security teams. The role combines architecture, engineering and platform ownership, and requires someone equally comfortable shaping strategy, defining standards, and rolling up their sleeves to implement solutions. Responsibilities You'll make an impact by: Azure Platform Ownership & Architecture - Own and design Consulting's Azure platform, defining target architecture, environments, shared services and reusable components that enable secure, scalable and innovative delivery. Governance & Design Authority - Act as the Azure design authority for Consulting, defining standards, patterns and guardrails in alignment with firm wide policies, and ensuring compliant, proportionate platform use. Security, Risk & Compliance by Design - Embed security by design principles across the platform, working closely with Security, Risk and Privacy teams to meet regulatory, legal and InfoSec requirements. FinOps & Operational Excellence - Lead cost management and FinOps practices, and define operational processes covering provisioning, monitoring, resilience, disaster recovery and continuous platform improvement. Hands on Engineering & Enablement - Build and configure core Azure platform components, support team onboarding, and act as a technical mentor and escalation point for Azure across Consulting. Qualifications You will be a technically strong, pragmatic and collaborative Azure specialist who combines systems thinking with a delivery mindset. Here's what we're looking for in our ideal candidate: Significant hands on experience designing and operating Azure environments in a regulated or enterprise context. Strong understanding of Azure core services, including: Identity (Entra ID, RBAC, managed identities) Networking (VNets, private endpoints, firewalls, connectivity patterns) Security services and monitoring Azure governance (Policy, Blueprints / equivalents) Experience defining platform level architectures, not just individual workloads. Practical experience implementing infrastructure using automation and infrastructure as code. Strong understanding of cloud operating models, including environment management, governance and FinOps. Confidence working with senior stakeholders and cross functional teams, including the ability to challenge constructively. What we can offer you We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work. Hybrid and Flexible working. 27 Days Holiday (with the option of purchasing additional days). Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP. Access to a suite of 300+ courses on demand developed by our in house Talent Development team.
Doherty Associates (DA) have delivered IT solutions for over 30 years to world-renowned, international clients. Our customers operate predominantly in the professional and financial services sector, including leading private equity and top tier law firms. We are a Microsoft Solutions Partner with five designations, hold a Tier 1 Microsoft CSP relationship and are ISO27001 & ISO9001 accredited. Our services are built on the Microsoft cloud ecosystem, aligned to the NIST Cyber Security Framework, and focused on quality, security, and long term client outcomes. About the role Reporting to the COO, the Head of Professional Services is responsible for leading and evolving the Professional Services function, owning the end to end delivery of customer projects, ensuring they meet their expectations by delivering consistently, profitably, and to a high standard. This is a senior leadership role, accountable for delivery governance, people leadership, commercial performance, and the continuous improvement of delivery capability. The Head of Professional Services will act as both a strategic leader and a senior point of engagement for customers and internal stakeholders. The Head of Professional Service will hold an overall accountability for two critical business functions: the Project Management Office (PMO) that drives consistent governance, delivery discipline, and commercial control over our project portfolio; the technical delivery teams responsible for designing and implementing customer IT solutions (primarily Microsoft cloud, modern workplace and core infrastructure services). The Head of Professional Services will hold an overall accountability for solutions design, their quality, customer satisfaction, utilisation, margin performance, and the maturity of the approach to project and engineering delivery at scale. Responsibilities Leadership & Culture Be a visible, credible leader by modelling core behaviours and setting high standards for delivery excellence, both internally and externally. Build a supportive, inclusive, high-performance culture across PMO and technical delivery underpinned by setting clear expectations, disciplined operating routines, effective coaching, and meaningful recognition. Effectively manage the employee lifecycle processes (recruitment, onboarding, probation, absence reviews, regular one-to-one meetings, performance reviews, etc). Work closely with the HR Business Partner to ensure effective, consistent, timely completion of these processes to support wellbeing and staff growth. Project Management Office Ownership Own the project delivery framework and ensure it is consistently applied (stage gates, RAID, reporting cadence, change control, lessons learned). Ensure project plans, risks, dependencies, and resource assignments are well managed and visible to stakeholders. Establish/maintain a robust change control model; for larger engagements, chair and own the governance process that assesses overruns and ensures scope changes are matched with appropriate commercials. Build a predictable portfolio delivery engine, with strong project discipline, consistent artefacts, accurate status, and early escalation. Technical Delivery Leadership Meet commercial and client satisfaction targets by effectively leading the technical delivery organisation (i.e. ensuring solutions are delivered effectively, securely, and to a consistently high standard, with strong quality assurance from design through deployment and transition). Ensure technical teams collaborate effectively with Pre-sales, PMs and Project Coordinators, actively breaking down silos and ensuring joined up planning, dependency management and customer communications. Drive standardisation and repeatability through templates, playbooks, reference architectures, and delivery patterns to improve margin and predictability. Ensure end-to end delivery accountability, including robust knowledge transfer into Managed Services and effective Service Desk enablement, as well as the creation and maintenance of all required documentation and knowledge articles. Act as a senior escalation point and ensure customer outcomes through clear governance, reporting, and expectation management. Serve as executive sponsor for key customers, representing DA in senior stakeholder forums and translating business needs into prioritised delivery roadmaps. Commercial & Operational Performance Own end-to-end Professional Services performance, including profitability targets and operational success metrics. Establish and maintain reporting that show utilisation (forecast vs actual), margin, project profitability, delivery performance, and pipeline coverage. Ensure statements of work (SOWs) accurately reflect scope, effort, skill mix, and delivery method; reducing leakage and improve estimating accuracy as services evolve. Optimise resourcing across PMO and technical delivery to balance customer demand, staff wellbeing, and financial outcomes. Partner with Sales to validate delivery approaches and ensure commitments are deliverable and scalable. Assist the Pre-sales function in creating repeatable solutions and delivery processes (including adoption of automation/AI where appropriate) to accelerate time-to-value. Build relationships with key partners/suppliers and help evolve the service catalogue and technical capabilities, facilitating the ability to flex resources to changing demands. Knowledge, Skills & Experience Proven senior leadership experience running a Professional Services function within an MSP / IT consultancy environment. Demonstrable commercial acumen: estimating, margin management, utilisation control, and delivery governance. Excellent stakeholder management and ability to operate credibly with senior customer leaders. Strong delivery method expertise (Prince2 / PMP / Agile hybrid) and ability to embed scalable processes. A credible understanding of Microsoft cloud ecosystem (M365 / Azure / Modern Workplace), security/compliance considerations, and transition to operations. Familiarity with cybersecurity frameworks (e.g., NIST or similar) and delivery governance in regulated environments. Degree level education or equivalent experience Leadership Qualities Gravitas and credibility at senior/executive level; accountability for outcomes; empathy and strong coaching style; adaptability; focus on continuous improvement and predictability Accountability - a sense of full responsibility for the team's performance Empathy - ability to listen to understand, support, and acknowledge challenges Adaptability - ability to apply a flexible approach that allows you to pivot as necessary. Able to overcome unexpected challenges rather than resisting them. Able to respond to a fast changing economic and technical environment Focus - ability to maintain the big picture view to help steer the team. Strong planning skills Positivity - ability to motivate the team to achieve goals, do their best, and exceed expectations Stability - ability to take a steady, reliable approach in managing deliverables to keep the team and division on track. Establishing regular routines with the team (setting standards on what to expect). Maintaining energy and focus. Striving for constant progress Risk taking - ability to navigate through risks and strive to make decisive judgments so that your teams can readily accept and act upon your decisions. What we offer in return Basic salary plus performance bonus 34 days of annual leave (incl. 8 UK bank holidays and a day off on your birthday) Enhanced family friendly benefit schemes including company sick pay Private medical insurance and Employee Assistance Programme
03/05/2026
Full time
Doherty Associates (DA) have delivered IT solutions for over 30 years to world-renowned, international clients. Our customers operate predominantly in the professional and financial services sector, including leading private equity and top tier law firms. We are a Microsoft Solutions Partner with five designations, hold a Tier 1 Microsoft CSP relationship and are ISO27001 & ISO9001 accredited. Our services are built on the Microsoft cloud ecosystem, aligned to the NIST Cyber Security Framework, and focused on quality, security, and long term client outcomes. About the role Reporting to the COO, the Head of Professional Services is responsible for leading and evolving the Professional Services function, owning the end to end delivery of customer projects, ensuring they meet their expectations by delivering consistently, profitably, and to a high standard. This is a senior leadership role, accountable for delivery governance, people leadership, commercial performance, and the continuous improvement of delivery capability. The Head of Professional Services will act as both a strategic leader and a senior point of engagement for customers and internal stakeholders. The Head of Professional Service will hold an overall accountability for two critical business functions: the Project Management Office (PMO) that drives consistent governance, delivery discipline, and commercial control over our project portfolio; the technical delivery teams responsible for designing and implementing customer IT solutions (primarily Microsoft cloud, modern workplace and core infrastructure services). The Head of Professional Services will hold an overall accountability for solutions design, their quality, customer satisfaction, utilisation, margin performance, and the maturity of the approach to project and engineering delivery at scale. Responsibilities Leadership & Culture Be a visible, credible leader by modelling core behaviours and setting high standards for delivery excellence, both internally and externally. Build a supportive, inclusive, high-performance culture across PMO and technical delivery underpinned by setting clear expectations, disciplined operating routines, effective coaching, and meaningful recognition. Effectively manage the employee lifecycle processes (recruitment, onboarding, probation, absence reviews, regular one-to-one meetings, performance reviews, etc). Work closely with the HR Business Partner to ensure effective, consistent, timely completion of these processes to support wellbeing and staff growth. Project Management Office Ownership Own the project delivery framework and ensure it is consistently applied (stage gates, RAID, reporting cadence, change control, lessons learned). Ensure project plans, risks, dependencies, and resource assignments are well managed and visible to stakeholders. Establish/maintain a robust change control model; for larger engagements, chair and own the governance process that assesses overruns and ensures scope changes are matched with appropriate commercials. Build a predictable portfolio delivery engine, with strong project discipline, consistent artefacts, accurate status, and early escalation. Technical Delivery Leadership Meet commercial and client satisfaction targets by effectively leading the technical delivery organisation (i.e. ensuring solutions are delivered effectively, securely, and to a consistently high standard, with strong quality assurance from design through deployment and transition). Ensure technical teams collaborate effectively with Pre-sales, PMs and Project Coordinators, actively breaking down silos and ensuring joined up planning, dependency management and customer communications. Drive standardisation and repeatability through templates, playbooks, reference architectures, and delivery patterns to improve margin and predictability. Ensure end-to end delivery accountability, including robust knowledge transfer into Managed Services and effective Service Desk enablement, as well as the creation and maintenance of all required documentation and knowledge articles. Act as a senior escalation point and ensure customer outcomes through clear governance, reporting, and expectation management. Serve as executive sponsor for key customers, representing DA in senior stakeholder forums and translating business needs into prioritised delivery roadmaps. Commercial & Operational Performance Own end-to-end Professional Services performance, including profitability targets and operational success metrics. Establish and maintain reporting that show utilisation (forecast vs actual), margin, project profitability, delivery performance, and pipeline coverage. Ensure statements of work (SOWs) accurately reflect scope, effort, skill mix, and delivery method; reducing leakage and improve estimating accuracy as services evolve. Optimise resourcing across PMO and technical delivery to balance customer demand, staff wellbeing, and financial outcomes. Partner with Sales to validate delivery approaches and ensure commitments are deliverable and scalable. Assist the Pre-sales function in creating repeatable solutions and delivery processes (including adoption of automation/AI where appropriate) to accelerate time-to-value. Build relationships with key partners/suppliers and help evolve the service catalogue and technical capabilities, facilitating the ability to flex resources to changing demands. Knowledge, Skills & Experience Proven senior leadership experience running a Professional Services function within an MSP / IT consultancy environment. Demonstrable commercial acumen: estimating, margin management, utilisation control, and delivery governance. Excellent stakeholder management and ability to operate credibly with senior customer leaders. Strong delivery method expertise (Prince2 / PMP / Agile hybrid) and ability to embed scalable processes. A credible understanding of Microsoft cloud ecosystem (M365 / Azure / Modern Workplace), security/compliance considerations, and transition to operations. Familiarity with cybersecurity frameworks (e.g., NIST or similar) and delivery governance in regulated environments. Degree level education or equivalent experience Leadership Qualities Gravitas and credibility at senior/executive level; accountability for outcomes; empathy and strong coaching style; adaptability; focus on continuous improvement and predictability Accountability - a sense of full responsibility for the team's performance Empathy - ability to listen to understand, support, and acknowledge challenges Adaptability - ability to apply a flexible approach that allows you to pivot as necessary. Able to overcome unexpected challenges rather than resisting them. Able to respond to a fast changing economic and technical environment Focus - ability to maintain the big picture view to help steer the team. Strong planning skills Positivity - ability to motivate the team to achieve goals, do their best, and exceed expectations Stability - ability to take a steady, reliable approach in managing deliverables to keep the team and division on track. Establishing regular routines with the team (setting standards on what to expect). Maintaining energy and focus. Striving for constant progress Risk taking - ability to navigate through risks and strive to make decisive judgments so that your teams can readily accept and act upon your decisions. What we offer in return Basic salary plus performance bonus 34 days of annual leave (incl. 8 UK bank holidays and a day off on your birthday) Enhanced family friendly benefit schemes including company sick pay Private medical insurance and Employee Assistance Programme
Senior Software Engineer - Cross-Chain Intent-Driven DEX Headquarters: Gibraltar Remote Full-time Compensation: $250k - $280k total comp ($160K - $180K base pay + tokens 2y vesting, 1y cliff + 10% perf bonus) Our client is a pioneering technology firm developing advanced solutions to enable seamless cross-chain interactions within an automated, intent-driven world. By connecting AI, services, and financial applications, the organization designs intent-driven liquidity layers where smart contracts, AI agents, and blockchain networks synchronize in real-time. With deep expertise in AI, cryptography, and decentralized finance (DeFi), the team is redefining how intelligent agents interact across global networks. The organization is seeking a Senior Software Engineer to contribute to the improvement and maintenance of innovative decentralized applications (DApps) within the NEAR ecosystem. This role is ideal for an individual who thrives in a fast-paced startup environment and is motivated by building ground-up solutions at an early project stage. The position focuses on developing a high-performance frontend and an SDK for a cross-chain decentralized exchange (DEX) utilizing multi-party computation, chain signatures, secure enclaves, and intent-based architecture. A primary goal of this role is to bridge the gaps between EVM and non-EVM chains, requiring a profound understanding of Web3 technologies. Key Responsibilities User Experience Excellence: Ensure that precise financial instruments are intuitive, easy to use, and clearly understood by the end user. Performance Engineering: Optimize every millisecond of user interactions to provide a "blazing-fast" experience. Observability: Implement deep tracing and observability across user flows to monitor system health and transaction success. Developer Enablement: Design and build the best possible SDK for other DApps to integrate and utilize. State Management: Design, test, and implement highly resilient state machines for managing Request for Quote (RFQ) processes. Full-Lifecycle Engineering: Bridge the gap between business requirements and technical implementation, defining both aesthetic and functional aspects of the application. Qualifications Professional Experience: 10+ years of experience as a software engineer with a proven track record of shipping high-quality products. Web3 Expertise: Deep familiarity with cryptocurrency and blockchain technologies, specifically the ability to bridge EVM and non-EVM ecosystems. Design & UI/UX: A strong sense for design and UI/UX with the ability to code for multiple target form factors (mobile, tablet, desktop). Product Delivery: Proven experience in building functional, effective, and production-grade platforms. Technical Standards: Strong attention to detail with a commitment to writing clean, organized, and maintainable code. Collaboration: The ability to effectively collaborate with coworkers across multiple time zones in a high-velocity startup environment. Education: A Bachelor's degree in Computer Science or a closely related field. Technical Stack The successful candidate will work with the following technologies: Frontend: React, Next.js, React Native Language: TypeScript State & Logic: Xstate Web3/Wallet Tooling: Wagmi Content Management: DatoCMS Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or would like to see the job-advert in an accessible format, please let us know at the earliest opportunity by emailing .
03/05/2026
Full time
Senior Software Engineer - Cross-Chain Intent-Driven DEX Headquarters: Gibraltar Remote Full-time Compensation: $250k - $280k total comp ($160K - $180K base pay + tokens 2y vesting, 1y cliff + 10% perf bonus) Our client is a pioneering technology firm developing advanced solutions to enable seamless cross-chain interactions within an automated, intent-driven world. By connecting AI, services, and financial applications, the organization designs intent-driven liquidity layers where smart contracts, AI agents, and blockchain networks synchronize in real-time. With deep expertise in AI, cryptography, and decentralized finance (DeFi), the team is redefining how intelligent agents interact across global networks. The organization is seeking a Senior Software Engineer to contribute to the improvement and maintenance of innovative decentralized applications (DApps) within the NEAR ecosystem. This role is ideal for an individual who thrives in a fast-paced startup environment and is motivated by building ground-up solutions at an early project stage. The position focuses on developing a high-performance frontend and an SDK for a cross-chain decentralized exchange (DEX) utilizing multi-party computation, chain signatures, secure enclaves, and intent-based architecture. A primary goal of this role is to bridge the gaps between EVM and non-EVM chains, requiring a profound understanding of Web3 technologies. Key Responsibilities User Experience Excellence: Ensure that precise financial instruments are intuitive, easy to use, and clearly understood by the end user. Performance Engineering: Optimize every millisecond of user interactions to provide a "blazing-fast" experience. Observability: Implement deep tracing and observability across user flows to monitor system health and transaction success. Developer Enablement: Design and build the best possible SDK for other DApps to integrate and utilize. State Management: Design, test, and implement highly resilient state machines for managing Request for Quote (RFQ) processes. Full-Lifecycle Engineering: Bridge the gap between business requirements and technical implementation, defining both aesthetic and functional aspects of the application. Qualifications Professional Experience: 10+ years of experience as a software engineer with a proven track record of shipping high-quality products. Web3 Expertise: Deep familiarity with cryptocurrency and blockchain technologies, specifically the ability to bridge EVM and non-EVM ecosystems. Design & UI/UX: A strong sense for design and UI/UX with the ability to code for multiple target form factors (mobile, tablet, desktop). Product Delivery: Proven experience in building functional, effective, and production-grade platforms. Technical Standards: Strong attention to detail with a commitment to writing clean, organized, and maintainable code. Collaboration: The ability to effectively collaborate with coworkers across multiple time zones in a high-velocity startup environment. Education: A Bachelor's degree in Computer Science or a closely related field. Technical Stack The successful candidate will work with the following technologies: Frontend: React, Next.js, React Native Language: TypeScript State & Logic: Xstate Web3/Wallet Tooling: Wagmi Content Management: DatoCMS Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or would like to see the job-advert in an accessible format, please let us know at the earliest opportunity by emailing .
Dizplai is a registered trademark of Never.no Ltd.
Manchester, Lancashire
Are you a senior engineer who thrives on enabling teams to deliver faster, safer, and more consistently? Dizplai is seeking an experienced and hands on Lead Platform Engineer to join our growing engineering team. This is a senior, enablement-focused role where you'll shape and improve the shared platform capabilities that help our squads deliver with speed and confidence. You'll lead the evolution of our AWS and engineering foundations, covering cloud infrastructure, account and environment management, deployment patterns, security guardrails, observability, automation, and developer experience. You'll combine deep technical expertise with broad organisational influence, helping set the direction for how we build, operate, and scale software reliably. A key part of this role is ensuring our organisation is set up to adopt AI safely, efficiently, and at scale. You'll define the right tooling, controls, reusable patterns, and platform standards so teams can use AI effectively without compromising security, quality, compliance, or cost. This isn't about becoming a delivery bottleneck or gatekeeper. It's about enabling squads through strong reusable foundations, sensible standards, strategic platform leadership, and practical support. Key Responsibilities Shape Platform Strategy & Foundations: Define and drive the platform engineering strategy in line with business, technology, security, and delivery goals. Design, build, and evolve shared platform capabilities that support product and delivery teams, reducing duplication through sensible standardisation, automation, and internal platform tooling. Lead AWS Platform Enablement: Own and improve AWS platform patterns across accounts, environments, access models, and organisational guardrails. Define repeatable cloud approaches for infrastructure, identity, networking, secrets, compute, and storage, helping teams operate safely and efficiently without slowing delivery. Enable Safe, Fast Delivery at Scale: Improve the platform so squads can ship changes with greater speed and confidence. Support deployment patterns, release workflows, and engineering guardrails that reduce risk and improve consistency. Build self service capabilities where the preferred approach is the easiest to use. Enable AI First Engineering Safely: Create the platform foundations that allow teams to adopt AI effectively across engineering and operational workflows. Establish reusable approaches for AI services, model integrations, and agent based workflows, supporting safe and scalable AI usage through strong patterns for access, governance, and cost awareness. Strengthen Security, Observability & Operational Readiness: Improve platform standards across security, CI/CD, observability, reliability, and operational readiness. Embed secure by default and operable by default patterns into engineering workflows, improving logging, metrics, alerting, tracing, and production visibility across teams. Improve Developer Experience & Engineering Culture: Reduce friction in day to day engineering workflows by improving tooling, automation, templates, and platform usability. Promote a culture of enablement, shared ownership, and continuous improvement, helping embed a platform mindset where common problems are solved once and reused widely. About You Strong hands on experience in platform engineering, DevOps, cloud infrastructure, or SRE style work. Strong practical AWS experience across infrastructure, IAM, networking, deployment patterns, and environment management, including supporting AWS account structures, access models, and cloud guardrails across multiple teams or environments. Experience building and improving CI/CD pipelines, infrastructure as code, and shared engineering tooling. Good understanding of observability, monitoring, alerting, and production operations, alongside practical knowledge of security, secrets management, secure delivery, and operational controls. Experience improving developer experience, standards, or engineering workflows across teams, with a good understanding of how platform design can enable safe and efficient AI adoption. Experience influencing technical direction, engineering practice, or platform strategy across teams, with strong collaboration skills, technical judgement, systems thinking, and organisational awareness. Desirable: experience with AWS Organisations, multi account environments, Control Tower, and SCPs; self service platform patterns and reusable internal templates; reliability engineering, incident management, and FinOps practices; enabling AI or ML tooling, model integrations, or LLM based workflows; familiarity with Team Topologies and enabling team principles.
03/05/2026
Full time
Are you a senior engineer who thrives on enabling teams to deliver faster, safer, and more consistently? Dizplai is seeking an experienced and hands on Lead Platform Engineer to join our growing engineering team. This is a senior, enablement-focused role where you'll shape and improve the shared platform capabilities that help our squads deliver with speed and confidence. You'll lead the evolution of our AWS and engineering foundations, covering cloud infrastructure, account and environment management, deployment patterns, security guardrails, observability, automation, and developer experience. You'll combine deep technical expertise with broad organisational influence, helping set the direction for how we build, operate, and scale software reliably. A key part of this role is ensuring our organisation is set up to adopt AI safely, efficiently, and at scale. You'll define the right tooling, controls, reusable patterns, and platform standards so teams can use AI effectively without compromising security, quality, compliance, or cost. This isn't about becoming a delivery bottleneck or gatekeeper. It's about enabling squads through strong reusable foundations, sensible standards, strategic platform leadership, and practical support. Key Responsibilities Shape Platform Strategy & Foundations: Define and drive the platform engineering strategy in line with business, technology, security, and delivery goals. Design, build, and evolve shared platform capabilities that support product and delivery teams, reducing duplication through sensible standardisation, automation, and internal platform tooling. Lead AWS Platform Enablement: Own and improve AWS platform patterns across accounts, environments, access models, and organisational guardrails. Define repeatable cloud approaches for infrastructure, identity, networking, secrets, compute, and storage, helping teams operate safely and efficiently without slowing delivery. Enable Safe, Fast Delivery at Scale: Improve the platform so squads can ship changes with greater speed and confidence. Support deployment patterns, release workflows, and engineering guardrails that reduce risk and improve consistency. Build self service capabilities where the preferred approach is the easiest to use. Enable AI First Engineering Safely: Create the platform foundations that allow teams to adopt AI effectively across engineering and operational workflows. Establish reusable approaches for AI services, model integrations, and agent based workflows, supporting safe and scalable AI usage through strong patterns for access, governance, and cost awareness. Strengthen Security, Observability & Operational Readiness: Improve platform standards across security, CI/CD, observability, reliability, and operational readiness. Embed secure by default and operable by default patterns into engineering workflows, improving logging, metrics, alerting, tracing, and production visibility across teams. Improve Developer Experience & Engineering Culture: Reduce friction in day to day engineering workflows by improving tooling, automation, templates, and platform usability. Promote a culture of enablement, shared ownership, and continuous improvement, helping embed a platform mindset where common problems are solved once and reused widely. About You Strong hands on experience in platform engineering, DevOps, cloud infrastructure, or SRE style work. Strong practical AWS experience across infrastructure, IAM, networking, deployment patterns, and environment management, including supporting AWS account structures, access models, and cloud guardrails across multiple teams or environments. Experience building and improving CI/CD pipelines, infrastructure as code, and shared engineering tooling. Good understanding of observability, monitoring, alerting, and production operations, alongside practical knowledge of security, secrets management, secure delivery, and operational controls. Experience improving developer experience, standards, or engineering workflows across teams, with a good understanding of how platform design can enable safe and efficient AI adoption. Experience influencing technical direction, engineering practice, or platform strategy across teams, with strong collaboration skills, technical judgement, systems thinking, and organisational awareness. Desirable: experience with AWS Organisations, multi account environments, Control Tower, and SCPs; self service platform patterns and reusable internal templates; reliability engineering, incident management, and FinOps practices; enabling AI or ML tooling, model integrations, or LLM based workflows; familiarity with Team Topologies and enabling team principles.
Principal Partner Success Implementation Engineer United Kingdom - London At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? The Principal Partner Success Implementation Engineer is a principal-level individual contributor and technical authority who shapes partner implementation strategy, technical governance, and scalable adoption across the partner ecosystem. This role is accountable for defining and driving technical standards, reference architectures, and readiness frameworks; leading the most complex cross-partner escalations; and influencing product direction through data-driven insights and strategic advocacy. Operating with broad autonomy, this role leads high-impact enablement programs, mentors senior and mid-level Implementation Engineers, and provides technical direction across Partner Success, TAM, and Support motions. The Principal sets operating rhythms for implementation excellence, establishes mechanisms to measure and improve outcomes (e.g., time-to-value and adoption health), and partners with senior and executive stakeholders to drive systemic improvements that scale globally. How will you make an impact Technical Advocacy & Product Support Deliver expert-level technical authority through guidance, troubleshooting, and platform leadership to partner customers post-readiness, enabling scalable adoption and operational excellence. Champion product enhancements by translating complex partner needs into clear requirements, shaping prioritization, and aligning Engineering and Product on scalable solutions. Lead the highest-severity, cross-partner escalations end-to-end, driving root-cause analysis, preventative actions, and executive-level communication to improve platform reliability and partner outcomes. Own the technical approach for a portfolio of the most complex partner implementations, defining reference architectures for advanced configuration, integrations, deployment patterns, and onboarding strategies. Establish and govern implementation standards (readiness criteria, validation checklists, and deployment best practices) to ensure consistent quality and long-term success at scale. Design the implementation-to-steady-state transition mechanism, aligning stakeholders on ownership, success metrics, and support motions to reduce time-to-value and improve adoption health. Cross-Functional Collaboration Set technical alignment across Partner Success, TAM, Support, and Product by defining shared expectations, escalation paths, and decision-making mechanisms that scale across regions. Collaborate with Partner Success Managers to assess partner maturity, surface systemic technical gaps, and build scalable adoption operating models backed by clear metrics and governance. Synthesize partner signals into clear technical narratives (risks, tradeoffs, and recommendations), influencing roadmap alignment, release readiness, and strategic planning with senior stakeholders. Knowledge Sharing & Best Practices Define, maintain, and govern standardized technical playbooks, reference architectures, and lessons learned to drive consistency and scale across partner implementations. Lead technical forums and communities of practice, mentoring Implementation Engineers and elevating org-wide capability through coaching, calibration, and hands on problem solving. Own the technical enablement strategy for partner readiness, shaping documentation and training programs that improve proficiency, reduce support burden, and accelerate adoption. Lead executive business reviews and strategic technical governance with partners, representing cross-partner technical needs in planning forums and driving alignment on investment priorities. Have you got what it takes? 7+ years of experience in implementation engineering, solutions engineering, technical support, or a related technical customer facing role. Strong expertise in diagnosing and resolving complex technical issues across integrations, APIs, configuration, and deployment environments, including driving systemic fixes. Exceptional communication skills with the ability to translate highly technical concepts for diverse audiences, including executive stakeholders. Proven ability to lead technical projects, influence stakeholders, and collaborate effectively across cross-functional teams, often without direct authority. Ability to travel up to 20% regional travel; some international travel may be necessary to meet with partners, attend business reviews, and support regional initiatives. You will have an advantage if you also have: Experience partnering with channel or reseller organizations. Experience in a global technology or SaaS organization. Professional services, or Solution Delivery. Deep knowledge of global partner ecosystems or channel/alliances strategy. Familiarity with cloud architectures, API ecosystems, or enterprise deployment patterns. What's in it for you? Learn more about the Benefits at NICE Join an ever growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! At NICE, we work according to the NICE FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face to face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
03/05/2026
Full time
Principal Partner Success Implementation Engineer United Kingdom - London At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? The Principal Partner Success Implementation Engineer is a principal-level individual contributor and technical authority who shapes partner implementation strategy, technical governance, and scalable adoption across the partner ecosystem. This role is accountable for defining and driving technical standards, reference architectures, and readiness frameworks; leading the most complex cross-partner escalations; and influencing product direction through data-driven insights and strategic advocacy. Operating with broad autonomy, this role leads high-impact enablement programs, mentors senior and mid-level Implementation Engineers, and provides technical direction across Partner Success, TAM, and Support motions. The Principal sets operating rhythms for implementation excellence, establishes mechanisms to measure and improve outcomes (e.g., time-to-value and adoption health), and partners with senior and executive stakeholders to drive systemic improvements that scale globally. How will you make an impact Technical Advocacy & Product Support Deliver expert-level technical authority through guidance, troubleshooting, and platform leadership to partner customers post-readiness, enabling scalable adoption and operational excellence. Champion product enhancements by translating complex partner needs into clear requirements, shaping prioritization, and aligning Engineering and Product on scalable solutions. Lead the highest-severity, cross-partner escalations end-to-end, driving root-cause analysis, preventative actions, and executive-level communication to improve platform reliability and partner outcomes. Own the technical approach for a portfolio of the most complex partner implementations, defining reference architectures for advanced configuration, integrations, deployment patterns, and onboarding strategies. Establish and govern implementation standards (readiness criteria, validation checklists, and deployment best practices) to ensure consistent quality and long-term success at scale. Design the implementation-to-steady-state transition mechanism, aligning stakeholders on ownership, success metrics, and support motions to reduce time-to-value and improve adoption health. Cross-Functional Collaboration Set technical alignment across Partner Success, TAM, Support, and Product by defining shared expectations, escalation paths, and decision-making mechanisms that scale across regions. Collaborate with Partner Success Managers to assess partner maturity, surface systemic technical gaps, and build scalable adoption operating models backed by clear metrics and governance. Synthesize partner signals into clear technical narratives (risks, tradeoffs, and recommendations), influencing roadmap alignment, release readiness, and strategic planning with senior stakeholders. Knowledge Sharing & Best Practices Define, maintain, and govern standardized technical playbooks, reference architectures, and lessons learned to drive consistency and scale across partner implementations. Lead technical forums and communities of practice, mentoring Implementation Engineers and elevating org-wide capability through coaching, calibration, and hands on problem solving. Own the technical enablement strategy for partner readiness, shaping documentation and training programs that improve proficiency, reduce support burden, and accelerate adoption. Lead executive business reviews and strategic technical governance with partners, representing cross-partner technical needs in planning forums and driving alignment on investment priorities. Have you got what it takes? 7+ years of experience in implementation engineering, solutions engineering, technical support, or a related technical customer facing role. Strong expertise in diagnosing and resolving complex technical issues across integrations, APIs, configuration, and deployment environments, including driving systemic fixes. Exceptional communication skills with the ability to translate highly technical concepts for diverse audiences, including executive stakeholders. Proven ability to lead technical projects, influence stakeholders, and collaborate effectively across cross-functional teams, often without direct authority. Ability to travel up to 20% regional travel; some international travel may be necessary to meet with partners, attend business reviews, and support regional initiatives. You will have an advantage if you also have: Experience partnering with channel or reseller organizations. Experience in a global technology or SaaS organization. Professional services, or Solution Delivery. Deep knowledge of global partner ecosystems or channel/alliances strategy. Familiarity with cloud architectures, API ecosystems, or enterprise deployment patterns. What's in it for you? Learn more about the Benefits at NICE Join an ever growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! At NICE, we work according to the NICE FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face to face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
White Collar Factory (95009), United Kingdom, London, London Lead Software Development Engineer - Services About this role Capital One's mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for a Senior Software Development Engineer to join a backend team, based in our London office on a hybrid basis. Our Engineers are people who lead by example, build strong and valuable relationships and have the confidence to influence at all levels. We are proud of who we are and what we do and want you to join us at this particularly exciting time at Capital One. What you'll do You will lead a team or cross-functional squad in the delivery of complex and ambiguous projects that support a broader business outcome You will take end-to-end responsibility for technical design, implementation, and operational considerations Collaborate with engineers, architects, product owners, and stakeholders to ensure successful project outcomes You will play a crucial role in supporting the elevation of engineering enablement, excellence, and experience across the broader engineering community You will collaborate and contribute to the development and dissemination of standardised and sustainable best practices, tools, patterns, and frameworks that enhance the productivity and quality of engineering efforts business-wide Your focus is on a major portion of existing or new team software (e.g., significant component, set of features, mid-size application or service) You'll work to achieve the goals and vision shared by Product Management and your Tribe Leadership Innovate within your team, initiative area and contribute within your technical domain What we're looking for Proven experience in technical leadership, including leading a team or cross-functional squad Proven experience working in both backend services and mobile technologies Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST Experience with AWS and strong understanding of cloud-based development Extensive, demonstrable knowledge of designing architectures that are secure and perform at scale You're able to effectively communicate and work collaboratively across engineering to maximise inner-sourcing opportunities and reduce waste Proven experience ability to deliver high quality applications at scale An advocate for quality and the ability to support the team, leveraging approaches such as Pair Programming, TDD and BDD Where and how you'll work This is a permanent position and will be based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be handsomely rewarded with a role contributing to the product roadmap for an organisation committed to transformation We're continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve We love continuous learning and that's why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women and ethnic minority candidates. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to
30/04/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Software Development Engineer - Services About this role Capital One's mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for a Senior Software Development Engineer to join a backend team, based in our London office on a hybrid basis. Our Engineers are people who lead by example, build strong and valuable relationships and have the confidence to influence at all levels. We are proud of who we are and what we do and want you to join us at this particularly exciting time at Capital One. What you'll do You will lead a team or cross-functional squad in the delivery of complex and ambiguous projects that support a broader business outcome You will take end-to-end responsibility for technical design, implementation, and operational considerations Collaborate with engineers, architects, product owners, and stakeholders to ensure successful project outcomes You will play a crucial role in supporting the elevation of engineering enablement, excellence, and experience across the broader engineering community You will collaborate and contribute to the development and dissemination of standardised and sustainable best practices, tools, patterns, and frameworks that enhance the productivity and quality of engineering efforts business-wide Your focus is on a major portion of existing or new team software (e.g., significant component, set of features, mid-size application or service) You'll work to achieve the goals and vision shared by Product Management and your Tribe Leadership Innovate within your team, initiative area and contribute within your technical domain What we're looking for Proven experience in technical leadership, including leading a team or cross-functional squad Proven experience working in both backend services and mobile technologies Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST Experience with AWS and strong understanding of cloud-based development Extensive, demonstrable knowledge of designing architectures that are secure and perform at scale You're able to effectively communicate and work collaboratively across engineering to maximise inner-sourcing opportunities and reduce waste Proven experience ability to deliver high quality applications at scale An advocate for quality and the ability to support the team, leveraging approaches such as Pair Programming, TDD and BDD Where and how you'll work This is a permanent position and will be based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be handsomely rewarded with a role contributing to the product roadmap for an organisation committed to transformation We're continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve We love continuous learning and that's why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women and ethnic minority candidates. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to
