Company Overview iboss is a cloud security company that enables the modern workforce to connect securely and directly to all applications from wherever they work. Built on a containerized cloud architecture, iboss delivers security capabilities such as SWG, malware defense, RBI, CASB and data loss prevention to all connections via the cloud, instantaneously and at scale. This eliminates the need for traditional network security appliances, such as VPNs, firewalls and web gateway proxies, which are ineffective at protecting a cloud first and mobile world. Leveraging a purpose built cloud architecture backed by 230+ issued and pending patents and more than 100 points of presence globally, iboss processes over 150 billion transactions daily, blocking 4 billion threats per day. More than 4,000 global enterprises trust the iboss Cloud Platform to support their modern workforces, including a large number of Fortune 50 companies. To learn more, visit Job Description Technical Support Associates interface directly with our Enterprise (Commercial, Government, K12) customers via live chat, ticket system, and telephone to assist them with technical support issues or inquiries. An ideal candidate for this role will have a wide breadth of knowledge and experience with enterprise networks, systems, and cybersecurity. An outstanding candidate will have previously been the "go to" network engineer, system administrator, or security engineer in a previous role. The outstanding candidate will also understand the challenges that administrators face when trying to secure their users and devices in today's borderless network landscape and have a track record of solving them. If you have an innate curiosity to understand how systems work (and could possibly be abused), a drive to find creative solutions to problems others may think are impossible to solve, are comfortable in a fast paced, challenging, and exciting environment, and are driven to provide customer satisfaction, we want to hear from you. We'll provide the opportunity for you to work with some of the largest and most complex networks on the planet, providing a service that helps protect organizations and users from threats. Responsibilities Solve complex technical support inquiries via telephone, live chat, and ticket interactions with a positive and professional demeanor; Document interactions comprehensively for auditing and record keeping purposes; Spin up lab environments consisting of firewalls, switches, routers, and endpoints to reproduce customer environments for advanced troubleshooting purposes; Work with team leads and management to bubble up recurring issues or opportunities for product or process improvements; Participate in testing pre release solutions and validating performance against test plans documenting results; Create and submit knowledgebase entries to help improve customer self service capabilities; Create and maintain internal knowledge systems to assist other internal team members; Stay abreast of product changes, working with lab and test systems to come up to speed quickly with new capabilities, devices, and features; Skills / Qualifications Bachelor's degree in technical field (Computer Science, Computer Engineering, Information Technology) 1-3 years of previous technical support experience Possess a strong work ethic and team player mentality Excellent communication skills both verbal and written Experience designing and supporting multilayer IP networks; routing and switching Experience with network security; firewalls, intrusion prevention, risk assessment, pen testing, content filtering, PKI, SSL/TLS Experience managing Windows Server or Red Hat Linux server environments; Proficient with Linux Experience managing large (>1k seat) Windows and Mac workstation deployments Experience managing DNS; Microsoft or Bind Experience with virtualization, specifically VDI implementations Experience with acquiring and analyzing packet captures Experience/familiarity with managing enterprise deployments of iOS, Android, and Chromebook devices Highly developed sense of integrity and commitment to customer satisfaction Strong detail orientation and listening skills Strong decision making and analytical abilities Benefits Optimistic, supportive, and FUN work environment Healthcare Plan, Pensions Highly competitive salary The duties and responsibilities described above are essential functions of the job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a veteran or as an individual with a disability. This position is not eligible for sponsorship of work visas
17/06/2026
Full time
Company Overview iboss is a cloud security company that enables the modern workforce to connect securely and directly to all applications from wherever they work. Built on a containerized cloud architecture, iboss delivers security capabilities such as SWG, malware defense, RBI, CASB and data loss prevention to all connections via the cloud, instantaneously and at scale. This eliminates the need for traditional network security appliances, such as VPNs, firewalls and web gateway proxies, which are ineffective at protecting a cloud first and mobile world. Leveraging a purpose built cloud architecture backed by 230+ issued and pending patents and more than 100 points of presence globally, iboss processes over 150 billion transactions daily, blocking 4 billion threats per day. More than 4,000 global enterprises trust the iboss Cloud Platform to support their modern workforces, including a large number of Fortune 50 companies. To learn more, visit Job Description Technical Support Associates interface directly with our Enterprise (Commercial, Government, K12) customers via live chat, ticket system, and telephone to assist them with technical support issues or inquiries. An ideal candidate for this role will have a wide breadth of knowledge and experience with enterprise networks, systems, and cybersecurity. An outstanding candidate will have previously been the "go to" network engineer, system administrator, or security engineer in a previous role. The outstanding candidate will also understand the challenges that administrators face when trying to secure their users and devices in today's borderless network landscape and have a track record of solving them. If you have an innate curiosity to understand how systems work (and could possibly be abused), a drive to find creative solutions to problems others may think are impossible to solve, are comfortable in a fast paced, challenging, and exciting environment, and are driven to provide customer satisfaction, we want to hear from you. We'll provide the opportunity for you to work with some of the largest and most complex networks on the planet, providing a service that helps protect organizations and users from threats. Responsibilities Solve complex technical support inquiries via telephone, live chat, and ticket interactions with a positive and professional demeanor; Document interactions comprehensively for auditing and record keeping purposes; Spin up lab environments consisting of firewalls, switches, routers, and endpoints to reproduce customer environments for advanced troubleshooting purposes; Work with team leads and management to bubble up recurring issues or opportunities for product or process improvements; Participate in testing pre release solutions and validating performance against test plans documenting results; Create and submit knowledgebase entries to help improve customer self service capabilities; Create and maintain internal knowledge systems to assist other internal team members; Stay abreast of product changes, working with lab and test systems to come up to speed quickly with new capabilities, devices, and features; Skills / Qualifications Bachelor's degree in technical field (Computer Science, Computer Engineering, Information Technology) 1-3 years of previous technical support experience Possess a strong work ethic and team player mentality Excellent communication skills both verbal and written Experience designing and supporting multilayer IP networks; routing and switching Experience with network security; firewalls, intrusion prevention, risk assessment, pen testing, content filtering, PKI, SSL/TLS Experience managing Windows Server or Red Hat Linux server environments; Proficient with Linux Experience managing large (>1k seat) Windows and Mac workstation deployments Experience managing DNS; Microsoft or Bind Experience with virtualization, specifically VDI implementations Experience with acquiring and analyzing packet captures Experience/familiarity with managing enterprise deployments of iOS, Android, and Chromebook devices Highly developed sense of integrity and commitment to customer satisfaction Strong detail orientation and listening skills Strong decision making and analytical abilities Benefits Optimistic, supportive, and FUN work environment Healthcare Plan, Pensions Highly competitive salary The duties and responsibilities described above are essential functions of the job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a veteran or as an individual with a disability. This position is not eligible for sponsorship of work visas
API Engineer Department: Development Employment Type: Full Time Location: Warwick Description Who are we? At Bright, we've engineered cutting edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support. We're brilliant people creating brilliant software! Join us in our mission to create brilliant software that empowers businesses to reach new heights. Our Products: Our award winning software helps small businesses and accountants across Ireland and the UK manage their payroll, accounts and HR practices. We take the headache out of business management and provide cost effective, real solutions to accountants and business owners. The Role: As an API Engineer at Bright, you'll be building API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. When it comes to AI, we're not building chatbots. We're building systems that automate end to end accounting workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers. You'll design and implement the API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. Working with autonomy and technical ownership, you'll architect scalable, secure APIs that handle sensitive payroll and accounting data while enabling rapid deployment of AI capabilities across our business. Key Responsibilities API Development & Integration Design and implement RESTful APIs that expose product capabilities to AI services and third party integrations Build production grade APIs using C# .NET, SQL, and Azure services Implement authentication and authorization using OAuth and modern security patterns Create well documented APIs using OpenAPI/Swagger standards Contribute to building and maintaining a developer portal for API consumers Quality & Operations Write clean, maintainable, well tested code with comprehensive documentation Implement logging, monitoring, and error handling for production APIs Optimize API performance and query efficiency Configure CI/CD pipelines for automated testing and deployment Ensure compliance with security requirements Participate in code reviews and contribute to team standards Collaboration & Growth Work with AI platform teams to understand requirements and consumption patterns Collaborate with product engineering teams to expose functionality through consistent APIs Learn from senior engineers and contribute to architectural discussions Support third party integrations and developer experience improvements Participate in incident response and troubleshooting Skills, Knowledge and Expertise Essential Skills and Experience Software engineering experience with focus on backend development and APIs Strong C# .NET skills for building APIs and services Solid SQL knowledge including database querying, basic optimization, and working with relational databases Experience building RESTful APIs for web or mobile applications Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling Familiarity with authentication using OAuth, JWT, or API keys Azure cloud exposure - you've worked with or deployed to Azure services Testing mindset - you write unit tests and understand integration testing Problem solving skills - you can debug issues and work through technical challenges Desirable Skills and Experience Experience building APIs for third party integrations or external partners Exposure to Supabase or similar backend as a service platforms Knowledge of API documentation tools like Swagger/OpenAPI Understanding of API gateways or Azure API Management Experience with event driven patterns or message queues Familiarity with DevOps practices and CI/CD pipelines Understanding of rate limiting and API security best practices Knowledge of how AI systems interact with APIs What Makes You a Great Fit Learning Mindset: You're excited to grow your API design and architecture skills. You're eager to learn from senior engineers and best practices. API Awareness: You understand that APIs are products with consumers. You think about usability, documentation, and developer experience. Attention to Detail: You care about consistency, documentation quality, and handling edge cases properly. Systems Thinking: You're developing an understanding of how distributed systems work and can reason through integration challenges. Pragmatic Approach: You balance learning with delivering value. You know when to ask for help and when to dive in. Collaboration: You work well with other engineers, product teams, and stakeholders. You communicate clearly about technical topics. Ownership: You take responsibility for your work and follow through on commitments. You care about the quality of what you build. Proactive Attitude: You see opportunities to improve and aren't deterred by challenges. You bring positive energy and a can do attitude. Quality Focused: You care about writing clean code, good tests, and building maintainable systems. Benefits Competitive salary Performance based bonus 25 days annual leave Health insurance Life insurance Company pension Company events Free food onsite On site parking Referral programme Employee Assistance Programme
17/06/2026
Full time
API Engineer Department: Development Employment Type: Full Time Location: Warwick Description Who are we? At Bright, we've engineered cutting edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support. We're brilliant people creating brilliant software! Join us in our mission to create brilliant software that empowers businesses to reach new heights. Our Products: Our award winning software helps small businesses and accountants across Ireland and the UK manage their payroll, accounts and HR practices. We take the headache out of business management and provide cost effective, real solutions to accountants and business owners. The Role: As an API Engineer at Bright, you'll be building API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. When it comes to AI, we're not building chatbots. We're building systems that automate end to end accounting workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers. You'll design and implement the API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. Working with autonomy and technical ownership, you'll architect scalable, secure APIs that handle sensitive payroll and accounting data while enabling rapid deployment of AI capabilities across our business. Key Responsibilities API Development & Integration Design and implement RESTful APIs that expose product capabilities to AI services and third party integrations Build production grade APIs using C# .NET, SQL, and Azure services Implement authentication and authorization using OAuth and modern security patterns Create well documented APIs using OpenAPI/Swagger standards Contribute to building and maintaining a developer portal for API consumers Quality & Operations Write clean, maintainable, well tested code with comprehensive documentation Implement logging, monitoring, and error handling for production APIs Optimize API performance and query efficiency Configure CI/CD pipelines for automated testing and deployment Ensure compliance with security requirements Participate in code reviews and contribute to team standards Collaboration & Growth Work with AI platform teams to understand requirements and consumption patterns Collaborate with product engineering teams to expose functionality through consistent APIs Learn from senior engineers and contribute to architectural discussions Support third party integrations and developer experience improvements Participate in incident response and troubleshooting Skills, Knowledge and Expertise Essential Skills and Experience Software engineering experience with focus on backend development and APIs Strong C# .NET skills for building APIs and services Solid SQL knowledge including database querying, basic optimization, and working with relational databases Experience building RESTful APIs for web or mobile applications Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling Familiarity with authentication using OAuth, JWT, or API keys Azure cloud exposure - you've worked with or deployed to Azure services Testing mindset - you write unit tests and understand integration testing Problem solving skills - you can debug issues and work through technical challenges Desirable Skills and Experience Experience building APIs for third party integrations or external partners Exposure to Supabase or similar backend as a service platforms Knowledge of API documentation tools like Swagger/OpenAPI Understanding of API gateways or Azure API Management Experience with event driven patterns or message queues Familiarity with DevOps practices and CI/CD pipelines Understanding of rate limiting and API security best practices Knowledge of how AI systems interact with APIs What Makes You a Great Fit Learning Mindset: You're excited to grow your API design and architecture skills. You're eager to learn from senior engineers and best practices. API Awareness: You understand that APIs are products with consumers. You think about usability, documentation, and developer experience. Attention to Detail: You care about consistency, documentation quality, and handling edge cases properly. Systems Thinking: You're developing an understanding of how distributed systems work and can reason through integration challenges. Pragmatic Approach: You balance learning with delivering value. You know when to ask for help and when to dive in. Collaboration: You work well with other engineers, product teams, and stakeholders. You communicate clearly about technical topics. Ownership: You take responsibility for your work and follow through on commitments. You care about the quality of what you build. Proactive Attitude: You see opportunities to improve and aren't deterred by challenges. You bring positive energy and a can do attitude. Quality Focused: You care about writing clean code, good tests, and building maintainable systems. Benefits Competitive salary Performance based bonus 25 days annual leave Health insurance Life insurance Company pension Company events Free food onsite On site parking Referral programme Employee Assistance Programme
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
17/06/2026
Full time
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Job ID: AWS EMEA SARL (UK Branch) - Open across EMEA. As a Business Development Manager focused on Cloud Intelligence within Amazon Web Services (AWS), you will provide sellers with insights on cloud business and sales strategies so they can better inform customers when choosing a Cloud Platform Service Provider. You will serve as the main liaison to AWS sales teams across EMEA, identifying and communicating cloud trends, tactics, and responses unique to specific industries. You will closely partner with AWS Sales, Marketing, BD and product teams to help win competitive sales engagements. We are looking for curious people with experience selling public cloud to enterprise customers, able to translate business requirements to cloud outcomes, drive digital transformation at the executive level and coach sales teams. You will work closely with Cloud Solution Architects to articulate the value proposition of cloud workloads. A successful candidate will have led large and complex public cloud sales opportunities, be familiar with cloud best practices, and have world class business acumen. Key Responsibilities Develop scalable competitive strategies to enable winning key strategic deals. Support, coach, and develop large deal closing capability. Act as the go to resource for an AWS field sales segment and sales leadership for AWS differentiation. Leverage excellent communication skills to articulate the business value of AWS propositions, working backwards from customer strategic objectives. Earn trust with and influence C level executives in customer organizations and within AWS. Lead strategic, in person workshops (requires travel). Develop and share cloud adoption trends and blockers across the cloud ecosystem. Enable and upskill field teams through development of field friendly content and delivery of trainings. Track signals and identify opportunities to provide Cloud Intelligence with insight to improve offerings. Influence internal stakeholders on market realities to further differentiate AWS's value. Basic Qualifications Bachelor's degree. Experience in developing, negotiating and executing business agreements. Experience developing strategies that influence leadership decisions at the organizational level. Experience managing programs across cross functional teams, building processes and coordinating release schedules. Preferred Qualifications Experience interpreting data and making business recommendations. Experience identifying, negotiating, and executing complex legal agreements. Amazon is an equal opportunities employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
17/06/2026
Full time
Job ID: AWS EMEA SARL (UK Branch) - Open across EMEA. As a Business Development Manager focused on Cloud Intelligence within Amazon Web Services (AWS), you will provide sellers with insights on cloud business and sales strategies so they can better inform customers when choosing a Cloud Platform Service Provider. You will serve as the main liaison to AWS sales teams across EMEA, identifying and communicating cloud trends, tactics, and responses unique to specific industries. You will closely partner with AWS Sales, Marketing, BD and product teams to help win competitive sales engagements. We are looking for curious people with experience selling public cloud to enterprise customers, able to translate business requirements to cloud outcomes, drive digital transformation at the executive level and coach sales teams. You will work closely with Cloud Solution Architects to articulate the value proposition of cloud workloads. A successful candidate will have led large and complex public cloud sales opportunities, be familiar with cloud best practices, and have world class business acumen. Key Responsibilities Develop scalable competitive strategies to enable winning key strategic deals. Support, coach, and develop large deal closing capability. Act as the go to resource for an AWS field sales segment and sales leadership for AWS differentiation. Leverage excellent communication skills to articulate the business value of AWS propositions, working backwards from customer strategic objectives. Earn trust with and influence C level executives in customer organizations and within AWS. Lead strategic, in person workshops (requires travel). Develop and share cloud adoption trends and blockers across the cloud ecosystem. Enable and upskill field teams through development of field friendly content and delivery of trainings. Track signals and identify opportunities to provide Cloud Intelligence with insight to improve offerings. Influence internal stakeholders on market realities to further differentiate AWS's value. Basic Qualifications Bachelor's degree. Experience in developing, negotiating and executing business agreements. Experience developing strategies that influence leadership decisions at the organizational level. Experience managing programs across cross functional teams, building processes and coordinating release schedules. Preferred Qualifications Experience interpreting data and making business recommendations. Experience identifying, negotiating, and executing complex legal agreements. Amazon is an equal opportunities employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Certes IT Service Solutions
Milton Keynes, Buckinghamshire
Lead Technical Architect - Networks (DV Cleared) Clearance: Developed Vetting (DV) - mandatory Onsite Requirement: 3 days per week Rate: £750 - £775 per day Inside IR35 Location: Milton Keynes Overview: We are seeking an experienced Lead Technical Architect (Networks) to join our client, reporting directly to the Chief Technology Officer. This is a senior leadership role responsible for defining and governing network architecture across both physical and logical domains. The successful candidate will play a key role in a new project, leading network architecture strategy and ensuring designs are secure, scalable, resilient, and cost-effective, aligned with organisational objectives and enterprise architecture standards. This role requires a strong blend of deep technical expertise, architecture governance, and stakeholder engagement, with a particular emphasis on end-to-end datacentre design and customer-facing delivery. Key Responsibilities: Lead network architecture across physical and logical environments Define and govern secure, scalable, and cost-efficient network designs Act as the primary architect for key project delivery initiatives Translate business and security requirements into technical solutions Produce and review high- and low-level designs (conceptual, logical, physical) aligned to TOGAF Provide leadership and guidance to architects and technical teams Drive best practices in network automation, provisioning, and orchestration Influence senior stakeholders through evidence-based recommendations Support incident resolution and technical escalations Develop and maintain technical roadmaps aligned to organisational strategy Essential Skills & Experience: Qualifications & Certifications Degree (or equivalent experience) in Computer Science, Network Engineering, or Telecommunications Industry certifications or willingness to work towards (TOGAF, ITIL, PRINCE2, Agile) Professional certifications such as: o CCNP (Cisco) o VCP-NV (VMware) o PCNSE (Palo Alto) o Azure Network Engineer / AWS Solutions Architect (or equivalent experience) Technical Expertise: Proven experience designing and governing secure network architectures across: o VMware (private cloud) o Microsoft on-premise environments o Multi-cloud (Azure and/or AWS) Strong experience delivering LAN, WAN, hybrid cloud, and datacentre network designs Deep understanding of: o Cisco technologies (ACI, ASA, Firepower, ASR, Catalyst, Nexus) o VMware NSX o Palo Alto Firewalls Networking protocols and technologies: o VLANs, MPLS, IPsec, OSPF, BGP, SD-WAN, SDN o TCP/IP, VPN, DNS, QoS Experience designing networks in Azure (VNet) and AWS (VPC) Knowledge of: o Zero Trust architecture o Network automation and orchestration o Monitoring tools (SolarWinds, PRTG) o F5 BIG-IP (LTM, ASM) Understanding of high-grade encryption technologies for secure environments Architecture & Delivery Experience: Experience producing robust architecture designs using TOGAF frameworks Strong track record of: o Designing secure, resilient environments (ideally government/defence) o Delivering business continuity and disaster recovery solutions o Designing DDoS protection and security controls (WAF, IDS/IPS, EDR/XDR/NDR) Experience evaluating solution options across cost, quality, time, and risk Exposure to network automation tools (e.g. Ansible, Terraform, Python) Experience working within CI/CD and DevSecOps environments Leadership & Stakeholder Management: Proven ability to lead and mentor technical teams Experience influencing senior stakeholders and decision-makers Ability to act as a key escalation point for complex issues Strong customer-facing and communication skills Knowledge Requirements: UK Government and security frameworks, including: o NCSC guidance o GDS standards o Secure by Design principles o Cloud Security Principles o Technology Code of Practice Experience designing secure / air-gapped environments Expertise in cloud-native networking and modern architectural practices Desirable Skills: Membership of professional bodies (e.g., BCS, IET) Experience working at OFFICIAL (or higher) government classification levels Advanced certifications (e.g., CCIE) Experience with Google Cloud Platform (GCP) networking Awareness of AI-driven operational optimisation Strong experience with automation in DevSecOps environments Certes Computing (and all of its subsidiary companies) is committed to promoting equality and diversity in its business operations. JBRP1_UKTJ
17/06/2026
Full time
Lead Technical Architect - Networks (DV Cleared) Clearance: Developed Vetting (DV) - mandatory Onsite Requirement: 3 days per week Rate: £750 - £775 per day Inside IR35 Location: Milton Keynes Overview: We are seeking an experienced Lead Technical Architect (Networks) to join our client, reporting directly to the Chief Technology Officer. This is a senior leadership role responsible for defining and governing network architecture across both physical and logical domains. The successful candidate will play a key role in a new project, leading network architecture strategy and ensuring designs are secure, scalable, resilient, and cost-effective, aligned with organisational objectives and enterprise architecture standards. This role requires a strong blend of deep technical expertise, architecture governance, and stakeholder engagement, with a particular emphasis on end-to-end datacentre design and customer-facing delivery. Key Responsibilities: Lead network architecture across physical and logical environments Define and govern secure, scalable, and cost-efficient network designs Act as the primary architect for key project delivery initiatives Translate business and security requirements into technical solutions Produce and review high- and low-level designs (conceptual, logical, physical) aligned to TOGAF Provide leadership and guidance to architects and technical teams Drive best practices in network automation, provisioning, and orchestration Influence senior stakeholders through evidence-based recommendations Support incident resolution and technical escalations Develop and maintain technical roadmaps aligned to organisational strategy Essential Skills & Experience: Qualifications & Certifications Degree (or equivalent experience) in Computer Science, Network Engineering, or Telecommunications Industry certifications or willingness to work towards (TOGAF, ITIL, PRINCE2, Agile) Professional certifications such as: o CCNP (Cisco) o VCP-NV (VMware) o PCNSE (Palo Alto) o Azure Network Engineer / AWS Solutions Architect (or equivalent experience) Technical Expertise: Proven experience designing and governing secure network architectures across: o VMware (private cloud) o Microsoft on-premise environments o Multi-cloud (Azure and/or AWS) Strong experience delivering LAN, WAN, hybrid cloud, and datacentre network designs Deep understanding of: o Cisco technologies (ACI, ASA, Firepower, ASR, Catalyst, Nexus) o VMware NSX o Palo Alto Firewalls Networking protocols and technologies: o VLANs, MPLS, IPsec, OSPF, BGP, SD-WAN, SDN o TCP/IP, VPN, DNS, QoS Experience designing networks in Azure (VNet) and AWS (VPC) Knowledge of: o Zero Trust architecture o Network automation and orchestration o Monitoring tools (SolarWinds, PRTG) o F5 BIG-IP (LTM, ASM) Understanding of high-grade encryption technologies for secure environments Architecture & Delivery Experience: Experience producing robust architecture designs using TOGAF frameworks Strong track record of: o Designing secure, resilient environments (ideally government/defence) o Delivering business continuity and disaster recovery solutions o Designing DDoS protection and security controls (WAF, IDS/IPS, EDR/XDR/NDR) Experience evaluating solution options across cost, quality, time, and risk Exposure to network automation tools (e.g. Ansible, Terraform, Python) Experience working within CI/CD and DevSecOps environments Leadership & Stakeholder Management: Proven ability to lead and mentor technical teams Experience influencing senior stakeholders and decision-makers Ability to act as a key escalation point for complex issues Strong customer-facing and communication skills Knowledge Requirements: UK Government and security frameworks, including: o NCSC guidance o GDS standards o Secure by Design principles o Cloud Security Principles o Technology Code of Practice Experience designing secure / air-gapped environments Expertise in cloud-native networking and modern architectural practices Desirable Skills: Membership of professional bodies (e.g., BCS, IET) Experience working at OFFICIAL (or higher) government classification levels Advanced certifications (e.g., CCIE) Experience with Google Cloud Platform (GCP) networking Awareness of AI-driven operational optimisation Strong experience with automation in DevSecOps environments Certes Computing (and all of its subsidiary companies) is committed to promoting equality and diversity in its business operations. JBRP1_UKTJ
Senior Data Engineer A brand-new opportunity for a Senior Data Engineer to join a growing data function at a pivotal stage of transformation. This role offers the chance to shape and build a modern cloud data platform from the ground up, playing a key role in a large-scale on-prem to AWS migration while influencing technical direction and best practice across the team. The Opportunity You'll join a collaborative team of data engineers (junior through to senior) and work closely with leadership to: Drive a major cloud migration to AWS, including modern lakehouse architecture Build and optimise scalable data pipelines and ETL processes Partner with analysts, data scientists, and wider business teams to unlock data value Take ownership of complex engineering challenges in a fast-paced, evolving environment Mentor and coach engineers, supporting growth and knowledge sharing across the team What They're Looking For Strong hands-on data engineering experience within a complex environment Advanced PySpark expertise (essential) Solid experience working with AWS data services (e.g. S3, Glue, Redshift, Lambda) Proven track record working on large-scale data platform or migration projects Experience building robust, production-grade pipelines with testing / CI/CD exposure Someone who challenges the status quo, with a data-first, problem-solving mindset What Sets This Role Apart Opportunity to influence and shape a modern data platform from an early stage Exposure to cutting-edge projects, including future AI/ML initiatives A culture that values ownership, technical curiosity, and continuous improvement Strong focus on career development, mentoring and progression Manchester (Hybrid - 2 days onsite) Up to £80,000 + strong benefits package If you're a true hands-on engineer who enjoys solving complex problems and wants to make a real impact in a growing data function, this is an excellent opportunity to step into a high-visibility senior role. Please get in touch today for further information. To From Record Yes No Always use these settings JBRP1_UKTJ
17/06/2026
Full time
Senior Data Engineer A brand-new opportunity for a Senior Data Engineer to join a growing data function at a pivotal stage of transformation. This role offers the chance to shape and build a modern cloud data platform from the ground up, playing a key role in a large-scale on-prem to AWS migration while influencing technical direction and best practice across the team. The Opportunity You'll join a collaborative team of data engineers (junior through to senior) and work closely with leadership to: Drive a major cloud migration to AWS, including modern lakehouse architecture Build and optimise scalable data pipelines and ETL processes Partner with analysts, data scientists, and wider business teams to unlock data value Take ownership of complex engineering challenges in a fast-paced, evolving environment Mentor and coach engineers, supporting growth and knowledge sharing across the team What They're Looking For Strong hands-on data engineering experience within a complex environment Advanced PySpark expertise (essential) Solid experience working with AWS data services (e.g. S3, Glue, Redshift, Lambda) Proven track record working on large-scale data platform or migration projects Experience building robust, production-grade pipelines with testing / CI/CD exposure Someone who challenges the status quo, with a data-first, problem-solving mindset What Sets This Role Apart Opportunity to influence and shape a modern data platform from an early stage Exposure to cutting-edge projects, including future AI/ML initiatives A culture that values ownership, technical curiosity, and continuous improvement Strong focus on career development, mentoring and progression Manchester (Hybrid - 2 days onsite) Up to £80,000 + strong benefits package If you're a true hands-on engineer who enjoys solving complex problems and wants to make a real impact in a growing data function, this is an excellent opportunity to step into a high-visibility senior role. Please get in touch today for further information. To From Record Yes No Always use these settings JBRP1_UKTJ
Chief Technology & Operations Officer (CTOO) / Technology & Operations Director Location: Coventry (Hybrid) Salary: 80,000- 100,000 DOE Please note: Sponsorship is not available for this position. Join a Growing Technology Business Where You Can Truly Make an Impact We're partnering with an ambitious and growing technology company looking for a commercially minded, hands-on technology leader to take ownership of both software delivery and IT operations across the business. This is a rare opportunity to join a smaller organisation where your influence will genuinely shape the future direction of technology, operations, delivery, and customer outcomes. You'll work closely with the executive team, helping drive strategic decisions while remaining close enough to the technology to guide teams, solve problems, and improve delivery standards. We're looking for someone who enjoys building structure in fast-paced environments, thrives on solving operational challenges, and still has the technical depth to engage with engineering teams and architecture decisions when required. The Role As CTOO / Technology & Operations Director, you'll oversee the operational effectiveness of software development, infrastructure, and technical services across the organisation's application estate. You'll act as the bridge between commercial teams, customers, developers, and IT services - ensuring priorities are aligned, delivery remains controlled, and systems stay secure, stable, and scalable. This role combines strategic leadership with practical execution. You'll be expected to roll your sleeves up when needed, support critical decision-making, and help teams deliver effectively with limited resources. Key Responsibilities Technology & Operational Leadership Lead the development and IT services functions across the business Ensure applications and platforms are delivered, maintained, and supported effectively Drive operational stability, resilience, and continuous improvement Balance long-term strategy with day-to-day execution Hands-On Technical Leadership Provide guidance across software delivery, infrastructure, DevOps, and architecture Support teams with technical decision-making and delivery planning Maintain oversight of cloud infrastructure, databases, environments, and security controls Act as a senior escalation point during incidents or critical operational issues Executive Delivery & Prioritisation Translate executive and customer requirements into achievable delivery plans Manage competing priorities across development and IT operations Clearly communicate risks, trade-offs, and delivery expectations Cross-Functional Collaboration Work closely with sales, commercial, product, and operational teams Support customer-facing technical discussions and solution planning Improve collaboration between technical and non-technical stakeholders Governance, Security & Compliance Ensure strong governance, policies, and operational procedures are in place Support ISO9001 / ISO27001 aligned processes and customer audit requirements Maintain focus on GDPR, cybersecurity, resilience, and risk management What We're Looking For Essential Experience Proven leadership across software engineering and IT operations/infrastructure Experience working in smaller or growing businesses where adaptability is key Strong hands-on technical understanding with the ability to engage at engineering level Experience managing software delivery, technical operations, and cross-functional teams Strong understanding of Agile delivery, DevOps, CI/CD, and modern software practices Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of databases including MS SQL and/or Oracle Experience managing incidents, operational risk, and technical escalations Desirable Background Computer Science, Engineering, or similar technical background Experience with architecture or solution design Exposure to sectors such as Construction, Utilities, Retail, Logistics, Manufacturing, Insurance, or B2B technology services Personal Attributes Commercially aware and pragmatic Calm under pressure with strong problem-solving ability Comfortable making decisions and driving accountability Able to communicate effectively with both technical teams and senior stakeholders Hands-on, approachable, and delivery focused What Success Looks Like Within your first 6-12 months, you'll have: Improved operational stability and delivery visibility Established clearer prioritisation across development and IT services Strengthened collaboration between technical and commercial teams Improved governance, documentation, and compliance readiness Built empowered teams with strong accountability and ownership Package 80,000- 100,000 salary depending on experience Hybrid working model Opportunity to shape technology strategy within a growing business High level of ownership and autonomy Collaborative and fast-moving environment where your contribution matters
17/06/2026
Full time
Chief Technology & Operations Officer (CTOO) / Technology & Operations Director Location: Coventry (Hybrid) Salary: 80,000- 100,000 DOE Please note: Sponsorship is not available for this position. Join a Growing Technology Business Where You Can Truly Make an Impact We're partnering with an ambitious and growing technology company looking for a commercially minded, hands-on technology leader to take ownership of both software delivery and IT operations across the business. This is a rare opportunity to join a smaller organisation where your influence will genuinely shape the future direction of technology, operations, delivery, and customer outcomes. You'll work closely with the executive team, helping drive strategic decisions while remaining close enough to the technology to guide teams, solve problems, and improve delivery standards. We're looking for someone who enjoys building structure in fast-paced environments, thrives on solving operational challenges, and still has the technical depth to engage with engineering teams and architecture decisions when required. The Role As CTOO / Technology & Operations Director, you'll oversee the operational effectiveness of software development, infrastructure, and technical services across the organisation's application estate. You'll act as the bridge between commercial teams, customers, developers, and IT services - ensuring priorities are aligned, delivery remains controlled, and systems stay secure, stable, and scalable. This role combines strategic leadership with practical execution. You'll be expected to roll your sleeves up when needed, support critical decision-making, and help teams deliver effectively with limited resources. Key Responsibilities Technology & Operational Leadership Lead the development and IT services functions across the business Ensure applications and platforms are delivered, maintained, and supported effectively Drive operational stability, resilience, and continuous improvement Balance long-term strategy with day-to-day execution Hands-On Technical Leadership Provide guidance across software delivery, infrastructure, DevOps, and architecture Support teams with technical decision-making and delivery planning Maintain oversight of cloud infrastructure, databases, environments, and security controls Act as a senior escalation point during incidents or critical operational issues Executive Delivery & Prioritisation Translate executive and customer requirements into achievable delivery plans Manage competing priorities across development and IT operations Clearly communicate risks, trade-offs, and delivery expectations Cross-Functional Collaboration Work closely with sales, commercial, product, and operational teams Support customer-facing technical discussions and solution planning Improve collaboration between technical and non-technical stakeholders Governance, Security & Compliance Ensure strong governance, policies, and operational procedures are in place Support ISO9001 / ISO27001 aligned processes and customer audit requirements Maintain focus on GDPR, cybersecurity, resilience, and risk management What We're Looking For Essential Experience Proven leadership across software engineering and IT operations/infrastructure Experience working in smaller or growing businesses where adaptability is key Strong hands-on technical understanding with the ability to engage at engineering level Experience managing software delivery, technical operations, and cross-functional teams Strong understanding of Agile delivery, DevOps, CI/CD, and modern software practices Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of databases including MS SQL and/or Oracle Experience managing incidents, operational risk, and technical escalations Desirable Background Computer Science, Engineering, or similar technical background Experience with architecture or solution design Exposure to sectors such as Construction, Utilities, Retail, Logistics, Manufacturing, Insurance, or B2B technology services Personal Attributes Commercially aware and pragmatic Calm under pressure with strong problem-solving ability Comfortable making decisions and driving accountability Able to communicate effectively with both technical teams and senior stakeholders Hands-on, approachable, and delivery focused What Success Looks Like Within your first 6-12 months, you'll have: Improved operational stability and delivery visibility Established clearer prioritisation across development and IT services Strengthened collaboration between technical and commercial teams Improved governance, documentation, and compliance readiness Built empowered teams with strong accountability and ownership Package 80,000- 100,000 salary depending on experience Hybrid working model Opportunity to shape technology strategy within a growing business High level of ownership and autonomy Collaborative and fast-moving environment where your contribution matters
Senior VMware Infrastructure Engineer VMWare SME Summer-Browning Associates is currently supporting our central government client, which is seeking a Senior VMware Infrastructure Engineer for an initial six-month assignment, with the option to extend. Location: Milton Keynes - Hybrid working The ideal candidate will hold an active security clearance and have a strong background in VMware engineering, demonstrating the following skills and experience: Proven experience supporting VMware platforms in secure environments within the public sector. Proficiency in the design, configuration, administration, and support of VMware technologies, including ESXI, vSphere, HA configuration, vCenter, vSan & VmWare Aria Experience in VMware Private Cloud setup and management using VMware Cloud Foundation (VCF) and NSX architecture and design. VMware qualifications should include: VCP-DCV, NSX or VCAP. To apply, please submit your latest CV for review.
17/06/2026
Contractor
Senior VMware Infrastructure Engineer VMWare SME Summer-Browning Associates is currently supporting our central government client, which is seeking a Senior VMware Infrastructure Engineer for an initial six-month assignment, with the option to extend. Location: Milton Keynes - Hybrid working The ideal candidate will hold an active security clearance and have a strong background in VMware engineering, demonstrating the following skills and experience: Proven experience supporting VMware platforms in secure environments within the public sector. Proficiency in the design, configuration, administration, and support of VMware technologies, including ESXI, vSphere, HA configuration, vCenter, vSan & VmWare Aria Experience in VMware Private Cloud setup and management using VMware Cloud Foundation (VCF) and NSX architecture and design. VMware qualifications should include: VCP-DCV, NSX or VCAP. To apply, please submit your latest CV for review.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
17/06/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
17/06/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
17/06/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
17/06/2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
17/06/2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Contract Enterprise Architect (Adobe Experience Platform/ AEP) We're looking for a senior Enterprise Architect to drive high-impact digital transformation for Adobe's top-tier customers. You'll partner with C-suite, marketing, and technical leaders to shape future-state marketing architectures, unlock value from complex ecosystems, and bring "Art of the Possible" experiences to life What you'll do, as the Enterprise Architect (Adobe Experience Platform/ AEP) Lead architecture and strategy across enterprise marketing ecosystems Define future-state solutions spanning CDP, CRM, personalization, and analytics Translate complex technology into clear, compelling stories for senior stakeholders Diagnose challenges fast and deliver actionable digital roadmaps Support sales opportunities and drive measurable customer value What you bring, as the Enterprise Architect (Adobe Experience Platform/ AEP) Experience as an Architect/Principal Consultant in large-scale digital marketing environments Strong knowledge of martech stack (CDP, automation, CRM, media, insights) Hands-on expertise with enterprise platforms and APIs, cloud, and data architecture Excellent communication and storytelling skills Degree or equivalent experience in CS, Marketing, or related field Nice to have: Adobe certifications (AEP, RTCDP, Analytics, etc.) Experience building ROI-driven business cases Mobile app architecture (React Native/Flutter) Exposure to generative AI and revenue ownership Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
17/06/2026
Contractor
Contract Enterprise Architect (Adobe Experience Platform/ AEP) We're looking for a senior Enterprise Architect to drive high-impact digital transformation for Adobe's top-tier customers. You'll partner with C-suite, marketing, and technical leaders to shape future-state marketing architectures, unlock value from complex ecosystems, and bring "Art of the Possible" experiences to life What you'll do, as the Enterprise Architect (Adobe Experience Platform/ AEP) Lead architecture and strategy across enterprise marketing ecosystems Define future-state solutions spanning CDP, CRM, personalization, and analytics Translate complex technology into clear, compelling stories for senior stakeholders Diagnose challenges fast and deliver actionable digital roadmaps Support sales opportunities and drive measurable customer value What you bring, as the Enterprise Architect (Adobe Experience Platform/ AEP) Experience as an Architect/Principal Consultant in large-scale digital marketing environments Strong knowledge of martech stack (CDP, automation, CRM, media, insights) Hands-on expertise with enterprise platforms and APIs, cloud, and data architecture Excellent communication and storytelling skills Degree or equivalent experience in CS, Marketing, or related field Nice to have: Adobe certifications (AEP, RTCDP, Analytics, etc.) Experience building ROI-driven business cases Mobile app architecture (React Native/Flutter) Exposure to generative AI and revenue ownership Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
At SeeChange, we leverage AI to create transformative solutions that deliver positive impact on both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors and development hubs in the UK and Serbia, we are scaling rapidly and investing heavily in our next generation visual AI. As part of that growth, we are extending our Core SeeWare Platform team and seeking an experienced Staff Software Engineer to join us at our Manchester (UK) or Belgrade (Serbia) office. About the role SeeWare is a modular, containerised AI platform that serves as the backbone for every SeeChange solution. By converting raw camera and sensor data into actionable insights and alerts, it provides the foundation for our technology. As a Staff Software Engineer, you will maintain and evolve this essential infrastructure, placing you at the heart of everything we build. For this role we are looking for an independent and adaptable professional with a strong software engineering background in Golang and excellent communication skills, who will: Provide the tools to build, deploy, and maintain AI solutions using the SeeWare Platform. You will work with a heterogeneous, distributed hardware environment, running dynamically configured software to process structured data and address real world AI challenges. Create, deploy, and maintain containerised applications to provide and monitor the end to end data flow of our AI solutions. Support the scaling of the SeeWare Platform across thousands of stores while adhering to our robust requirements for stability, auditability and control. Collaborate with the QA team to ensure your changes are proven before releasing to production. To be successful in this role, we'll be expecting you to: Have extensive experience and a deep understanding of Golang as your main day to day programming language. Demonstrate a good understanding of containerisation, including the creation of Docker images and managing their lifecycle. Be confident in using Linux/Unix operating systems with a focus on edge devices and virtual machines in the cloud. Have an automation first mindset, embracing DevOps CI/CD Pipelines and Infrastructure as Code as the default way to deploy your code. Possess strong analytical and creative problem solving abilities. Communicate system design and architecture to non experts and members of other teams concisely while recommending the best approach to solve a given problem. Work from the office at least one day per week. You will stand out if you have some experience with the following (or related) technologies and a desire to master them as you go Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP) Ansible for Infrastructure as Code for our deployments Python to understand the AI Solution team's code Why join SeeChange Working on AI/ML solutions for major brands, you will be part of a team with a global industry impact. We offer a competitive reimbursement package while respecting work life balance. You will work with leading experts in the field, as part of a vibrant, multicultural team. Your ideas will be heard, and successful initiatives will be rewarded. This role is open to candidates with a legal right to work in the UK or Serbia. If you want to make a difference by delivering AI solutions to the real world and work at the cutting edge of software development, we will be happy to learn more about you by having you apply and share your work experience with our hiring team.
16/06/2026
Full time
At SeeChange, we leverage AI to create transformative solutions that deliver positive impact on both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors and development hubs in the UK and Serbia, we are scaling rapidly and investing heavily in our next generation visual AI. As part of that growth, we are extending our Core SeeWare Platform team and seeking an experienced Staff Software Engineer to join us at our Manchester (UK) or Belgrade (Serbia) office. About the role SeeWare is a modular, containerised AI platform that serves as the backbone for every SeeChange solution. By converting raw camera and sensor data into actionable insights and alerts, it provides the foundation for our technology. As a Staff Software Engineer, you will maintain and evolve this essential infrastructure, placing you at the heart of everything we build. For this role we are looking for an independent and adaptable professional with a strong software engineering background in Golang and excellent communication skills, who will: Provide the tools to build, deploy, and maintain AI solutions using the SeeWare Platform. You will work with a heterogeneous, distributed hardware environment, running dynamically configured software to process structured data and address real world AI challenges. Create, deploy, and maintain containerised applications to provide and monitor the end to end data flow of our AI solutions. Support the scaling of the SeeWare Platform across thousands of stores while adhering to our robust requirements for stability, auditability and control. Collaborate with the QA team to ensure your changes are proven before releasing to production. To be successful in this role, we'll be expecting you to: Have extensive experience and a deep understanding of Golang as your main day to day programming language. Demonstrate a good understanding of containerisation, including the creation of Docker images and managing their lifecycle. Be confident in using Linux/Unix operating systems with a focus on edge devices and virtual machines in the cloud. Have an automation first mindset, embracing DevOps CI/CD Pipelines and Infrastructure as Code as the default way to deploy your code. Possess strong analytical and creative problem solving abilities. Communicate system design and architecture to non experts and members of other teams concisely while recommending the best approach to solve a given problem. Work from the office at least one day per week. You will stand out if you have some experience with the following (or related) technologies and a desire to master them as you go Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP) Ansible for Infrastructure as Code for our deployments Python to understand the AI Solution team's code Why join SeeChange Working on AI/ML solutions for major brands, you will be part of a team with a global industry impact. We offer a competitive reimbursement package while respecting work life balance. You will work with leading experts in the field, as part of a vibrant, multicultural team. Your ideas will be heard, and successful initiatives will be rewarded. This role is open to candidates with a legal right to work in the UK or Serbia. If you want to make a difference by delivering AI solutions to the real world and work at the cutting edge of software development, we will be happy to learn more about you by having you apply and share your work experience with our hiring team.
Lead Data Engineer page is loaded Lead Data Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your role: Lead Data EngineerTo be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Your Responsibilities: Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements. Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood. Drive strong technical standards, technical processes governance and control. Support and execute quality change management practices, ensuring a high bar for quality. Drive Elanco's data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon. Act as an escalation point of contact to diagnose and problem solve data engineering challenges. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation. Embrace and demonstrate a learning, growth, and sharing mindset. Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT. What You Need to Succeed (minimum qualifications): Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. What will give you a competitive edge (preferred qualifications): Proven ability to lead and deliver complex data projects. Expertise in data pipelines, integration and analytics practices and capabilities. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.). 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. Familiarity with machine learning workflows, data quality, and data governance. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.). Experience as a coach and/or mentor in developing technical skills. Good interpersonal and communication skills; proven ability to work effectively within a team. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible. Additional Information: Travel: 0-10% Location: Hook, UK - Hybrid Work Environment If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected statusElanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see ourElanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose(TM) CSR framework - all to advance the health of animals, people and the planet. Learn more at .
16/06/2026
Full time
Lead Data Engineer page is loaded Lead Data Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your role: Lead Data EngineerTo be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Your Responsibilities: Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements. Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood. Drive strong technical standards, technical processes governance and control. Support and execute quality change management practices, ensuring a high bar for quality. Drive Elanco's data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon. Act as an escalation point of contact to diagnose and problem solve data engineering challenges. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation. Embrace and demonstrate a learning, growth, and sharing mindset. Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT. What You Need to Succeed (minimum qualifications): Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. What will give you a competitive edge (preferred qualifications): Proven ability to lead and deliver complex data projects. Expertise in data pipelines, integration and analytics practices and capabilities. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.). 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. Familiarity with machine learning workflows, data quality, and data governance. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.). Experience as a coach and/or mentor in developing technical skills. Good interpersonal and communication skills; proven ability to work effectively within a team. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible. Additional Information: Travel: 0-10% Location: Hook, UK - Hybrid Work Environment If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected statusElanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see ourElanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose(TM) CSR framework - all to advance the health of animals, people and the planet. Learn more at .
About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. Role Summary As a Senior Developer specialising in C# .NET, you will be a pivotal member of our Software Development team, driving an AI first approach to the creation and enhancement of secure, responsive web based finance platforms. These platforms will modernise and extend core PeopleSoft finance capabilities, delivering improved usability, performance, and scalability through contemporary web technologies. You will leverage modern AI assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes Oxley) requirements. Your expertise in C# .NET, combined with your ability to apply AI driven techniques across the software development lifecycle, will be instrumental in delivering robust, scalable, and well governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour, ensuring that AI adoption enhances-rather than compromises-system integrity, auditability, and regulatory compliance. In this role, you will apply your architectural experience to help mature our existing software estate, introducing intelligent automation where appropriate and transforming legacy PeopleSoft based functionality into cloud native, web first solutions. You will work closely with the platform engineering team to ensure seamless integration and deployment, while embedding AI enabled tooling and practices in a controlled, transparent, and compliant manner across the development lifecycle. Responsibilities Design, develop, and test components of modern, secure web based finance applications, applying AI assisted development practices to improve quality and delivery speed Contribute to the overall architecture and design of technology solutions, incorporating AI enabled tooling and automation while ensuring control, transparency, and auditability Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments Adhere to development best practices and processes, including those required for SOX compliance (e.g. change control, segregation of duties, and auditability) Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards Communicate effectively with team members, contribute ideas, and stay current with emerging technologies, particularly in AI and modern engineering practices Liaise with business users to gather and refine application requirements, particularly in the context of modernising legacy finance platforms (e.g. PeopleSoft) Ensure delivered systems are production ready, secure, and well documented, supporting operational handover and ongoing audit requirements Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables Resolve third line support issues in a professional and timely manner, applying a structured and analytical approach to problem solving Skills and Experience Essential: Experience in C# .NET, React, JavaScript, TypeScript Experience leveraging AI assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control Experience of NoSQL or RDMS databases Infrastructure as Code, Terraform or equivalent Modern CI/CD and DevOps practices Cloud technology, ideally AWS (Amazon Web Services) Knowledge of BDD/TDD Agile and scrum development methodologies Methodical approach to software architecture and design and experience employing the right design choices for a given project Understanding of controls required in regulated environments, including SOX (Sarbanes Oxley), with a focus on auditability, segregation of duties, and change control Excellent verbal and written communication skills Desirable: A collaborative team player, approachable, self efficient, and able to foster a positive engineering culture, including adoption of AI first practices Demonstrates curiosity, particularly in emerging technologies, AI capabilities, and continuous improvement of development practices Resilient in a challenging, fast paced, and regulated environment Excels at building relationships, networking, and influencing others across both technical and business teams Strategic collaborator with insight and agility, able to anticipate future challenges, including those related to scale, regulation, and technology evolution, ensuring operational effectiveness Competencies Dynamic work ethic: ability to adapt to changing electronic trading environment and proactively learn new technologies Proactive and willingness to pick up issues Calm demeanour Excellent verbal and written communication skills A collaborative team player, approachable, self efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast paced environment Excels at building relationships, networking and influencing others Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness Legal and Equal Opportunity Statement Marex is fully committed to the elimination of unlawful or unfair discrimination and values the differences that a diverse workforce brings to the company.
16/06/2026
Full time
About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. Role Summary As a Senior Developer specialising in C# .NET, you will be a pivotal member of our Software Development team, driving an AI first approach to the creation and enhancement of secure, responsive web based finance platforms. These platforms will modernise and extend core PeopleSoft finance capabilities, delivering improved usability, performance, and scalability through contemporary web technologies. You will leverage modern AI assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes Oxley) requirements. Your expertise in C# .NET, combined with your ability to apply AI driven techniques across the software development lifecycle, will be instrumental in delivering robust, scalable, and well governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour, ensuring that AI adoption enhances-rather than compromises-system integrity, auditability, and regulatory compliance. In this role, you will apply your architectural experience to help mature our existing software estate, introducing intelligent automation where appropriate and transforming legacy PeopleSoft based functionality into cloud native, web first solutions. You will work closely with the platform engineering team to ensure seamless integration and deployment, while embedding AI enabled tooling and practices in a controlled, transparent, and compliant manner across the development lifecycle. Responsibilities Design, develop, and test components of modern, secure web based finance applications, applying AI assisted development practices to improve quality and delivery speed Contribute to the overall architecture and design of technology solutions, incorporating AI enabled tooling and automation while ensuring control, transparency, and auditability Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments Adhere to development best practices and processes, including those required for SOX compliance (e.g. change control, segregation of duties, and auditability) Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards Communicate effectively with team members, contribute ideas, and stay current with emerging technologies, particularly in AI and modern engineering practices Liaise with business users to gather and refine application requirements, particularly in the context of modernising legacy finance platforms (e.g. PeopleSoft) Ensure delivered systems are production ready, secure, and well documented, supporting operational handover and ongoing audit requirements Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables Resolve third line support issues in a professional and timely manner, applying a structured and analytical approach to problem solving Skills and Experience Essential: Experience in C# .NET, React, JavaScript, TypeScript Experience leveraging AI assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control Experience of NoSQL or RDMS databases Infrastructure as Code, Terraform or equivalent Modern CI/CD and DevOps practices Cloud technology, ideally AWS (Amazon Web Services) Knowledge of BDD/TDD Agile and scrum development methodologies Methodical approach to software architecture and design and experience employing the right design choices for a given project Understanding of controls required in regulated environments, including SOX (Sarbanes Oxley), with a focus on auditability, segregation of duties, and change control Excellent verbal and written communication skills Desirable: A collaborative team player, approachable, self efficient, and able to foster a positive engineering culture, including adoption of AI first practices Demonstrates curiosity, particularly in emerging technologies, AI capabilities, and continuous improvement of development practices Resilient in a challenging, fast paced, and regulated environment Excels at building relationships, networking, and influencing others across both technical and business teams Strategic collaborator with insight and agility, able to anticipate future challenges, including those related to scale, regulation, and technology evolution, ensuring operational effectiveness Competencies Dynamic work ethic: ability to adapt to changing electronic trading environment and proactively learn new technologies Proactive and willingness to pick up issues Calm demeanour Excellent verbal and written communication skills A collaborative team player, approachable, self efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast paced environment Excels at building relationships, networking and influencing others Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness Legal and Equal Opportunity Statement Marex is fully committed to the elimination of unlawful or unfair discrimination and values the differences that a diverse workforce brings to the company.
Job Title Backend Software Engineer (£80k) Salary Up to £80k Company Description InTouchNow.ai - Award-winning healthcare technology company building AI voice agents for the NHS. Job Description Join a high-impact team building AI-powered voice agents that automate patient triage and bookings for over 100 GP practices. You will own core backend infrastructure, designing scalable services for real-time telephony and orchestrating complex AI workflows. Your work directly reduces NHS wait times and improves healthcare access for millions of patients. Location Borehamwood, UK Why this role is remarkable Work on a Class I Medical Device that is already live in over 100 clinics and scaling rapidly following recent funding. Solve complex technical challenges in real-time voice streaming and 200+ language translations for high-concurrency healthcare environments. Take significant ownership of core architecture in a small, fast-paced team where your code has immediate, life-improving impact on patient access. What you will do Design and build scalable Node.js services for real-time voice AI and event-driven telephony workflows. Develop deep integrations with critical NHS clinical systems such as EMIS and SystmOne to automate administrative tasks. Architect and optimize AWS-based infrastructure to handle hundreds of concurrent patient interactions with minimal latency. The ideal candidate 5+ years of experience building production-grade backend systems using Node.js and distributed architectures. Demonstrates strong proficiency with event-driven systems, WebSockets, and cloud platforms (preferably AWS). Enjoys solving complex scalability challenges and owning systems end-to-end within a fast-moving, regulated environment.
16/06/2026
Full time
Job Title Backend Software Engineer (£80k) Salary Up to £80k Company Description InTouchNow.ai - Award-winning healthcare technology company building AI voice agents for the NHS. Job Description Join a high-impact team building AI-powered voice agents that automate patient triage and bookings for over 100 GP practices. You will own core backend infrastructure, designing scalable services for real-time telephony and orchestrating complex AI workflows. Your work directly reduces NHS wait times and improves healthcare access for millions of patients. Location Borehamwood, UK Why this role is remarkable Work on a Class I Medical Device that is already live in over 100 clinics and scaling rapidly following recent funding. Solve complex technical challenges in real-time voice streaming and 200+ language translations for high-concurrency healthcare environments. Take significant ownership of core architecture in a small, fast-paced team where your code has immediate, life-improving impact on patient access. What you will do Design and build scalable Node.js services for real-time voice AI and event-driven telephony workflows. Develop deep integrations with critical NHS clinical systems such as EMIS and SystmOne to automate administrative tasks. Architect and optimize AWS-based infrastructure to handle hundreds of concurrent patient interactions with minimal latency. The ideal candidate 5+ years of experience building production-grade backend systems using Node.js and distributed architectures. Demonstrates strong proficiency with event-driven systems, WebSockets, and cloud platforms (preferably AWS). Enjoys solving complex scalability challenges and owning systems end-to-end within a fast-moving, regulated environment.
Job Title: Security Engineer Salary: £110K - £200K + Offers Equity Company Description: Incident.io - Series B AI incident response platform backed by Index Ventures and Insight Partners. Job Description Join Incident.io as our first Security Engineer to lead application security for a 60+ person product team. You will partner with engineers to design secure systems from the ground up, identifying vulnerabilities through white-box and black-box testing. This foundational role shapes the security culture at a rapidly scaling, high-trust engineering organization. Location: London, UK Why this role is remarkable Foundational hire opportunity to build the security function from scratch without inheriting tech debt or rigid legacy processes. Join a high-growth Series B startup that has raised $100M from world-class investors like Index Ventures and Insight Partners. Work within a high-trust, ex-Monzo leadership culture that prioritizes shipping quality product daily and values engineering excellence. What you will do Partner directly with product teams to design and review features with security deeply integrated from the initial architecture phase. Identify and mitigate vulnerabilities using a mix of code reviews, architecture analysis, penetration testing, and automated fuzzing techniques. Implement pragmatic security tooling and automation across the CI/CD pipeline and GCP infrastructure to strengthen defenses without slowing delivery. The ideal candidate Senior or Staff-level professional with a deep track record in application security, vulnerability research, or specialized red teaming. Hands on experience with modern web stacks, specifically Go, TypeScript, React, and cloud security within Google Cloud Platform (GCP). Collaborative mindset that thrives when embedded in product teams, acting as a coach rather than a gatekeeper for secure coding practices.
16/06/2026
Full time
Job Title: Security Engineer Salary: £110K - £200K + Offers Equity Company Description: Incident.io - Series B AI incident response platform backed by Index Ventures and Insight Partners. Job Description Join Incident.io as our first Security Engineer to lead application security for a 60+ person product team. You will partner with engineers to design secure systems from the ground up, identifying vulnerabilities through white-box and black-box testing. This foundational role shapes the security culture at a rapidly scaling, high-trust engineering organization. Location: London, UK Why this role is remarkable Foundational hire opportunity to build the security function from scratch without inheriting tech debt or rigid legacy processes. Join a high-growth Series B startup that has raised $100M from world-class investors like Index Ventures and Insight Partners. Work within a high-trust, ex-Monzo leadership culture that prioritizes shipping quality product daily and values engineering excellence. What you will do Partner directly with product teams to design and review features with security deeply integrated from the initial architecture phase. Identify and mitigate vulnerabilities using a mix of code reviews, architecture analysis, penetration testing, and automated fuzzing techniques. Implement pragmatic security tooling and automation across the CI/CD pipeline and GCP infrastructure to strengthen defenses without slowing delivery. The ideal candidate Senior or Staff-level professional with a deep track record in application security, vulnerability research, or specialized red teaming. Hands on experience with modern web stacks, specifically Go, TypeScript, React, and cloud security within Google Cloud Platform (GCP). Collaborative mindset that thrives when embedded in product teams, acting as a coach rather than a gatekeeper for secure coding practices.
Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. 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.
16/06/2026
Full time
Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. 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.
