Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross functional team members to ship remarkable features and products. About the Role Exchange serves tens of millions of users globally, and we are scaling aggressively. As we grow our reach across new markets and channels, the precision with which we understand, optimise, and personalise the journey from first visit to fully activated account becomes a core competitive advantage. This role owns that journey end to end - across four deeply connected areas. Landing & Conversion You will build and own the behavioural analytics layer that lets us understand how users engage with our pages, what drives them toward sign up, and where we can sharpen the experience. You will run a relentless A/B testing programme to convert high intent visitors into registered users. Onboarding You will own the full sign up funnel: email submission through to KYC initiation. Every touchpoint in this sequence is an opportunity to reduce friction, build trust, and set the user up for activation. Sign up Rewards You will own the reward and incentive mechanics tied to the sign up event: welcome bonuses, sign up campaign offers, and any reward that activates at account creation. The goal is to use reward design as a conversion lever at the top of the funnel - pulling users from landing to registered account faster and with higher intent. Onboarding rewards from KYC completion through to first deposit and first trade are owned separately. Login & Authentication You will own the returning user experience: a fast, secure, and modern authentication journey that keeps active users engaged and protects them without making them feel it. These four areas are held by one PM because decisions in each are deeply interconnected. The trust built during onboarding shapes the authentication experience users expect. The reward mechanic at sign up influences how users behave through KYC initiation. The quality of the login journey determines whether funded users return to trade again tomorrow. This is an execution first, high ownership role. The PM who takes it drives stakeholders to unblock, prioritise, and ship - without waiting for direction. The Team Growth - coordinating on landing page experience and UTM attribution upstream of sign up Design - page layout, onboarding UX, authentication UI, and content hierarchy Engineering - analytics instrumentation, A/B test infrastructure, auth systems, and verification flows, development Data / Analytics - funnel dashboards, experimentation analysis, and session behavioural data Security / Risk - authentication architecture, ATO prevention, and fraud signal integration Verification & Activation PM - shared instrumentation and alignment at the KYC initiation boundary; reward ladder handoff Key Responsibilities Landing & Conversion Optimisation Design and implement a comprehensive behavioural analytics framework across Exchange landing pages - covering scroll depth, content engagement, CTA performance, drop off attribution, and device and geo segmentation Define the event taxonomy in partnership with Engineering and Data, ensuring every meaningful pre sign up user action is instrumented, labelled, and queryable at scale Build and own real time funnel dashboards that give the full team visibility into the landing to sign up conversion journey Conduct continuous analysis using session recording and heatmap tooling (FullStory, Hotjar, Microsoft Clarity, or equivalent) to surface engagement patterns and conversion opportunities Translate behavioural insights into hypotheses and work with Design and Content to optimise page layout, messaging hierarchy, trust signals, and CTA placement Run a structured, high velocity A/B testing programme across landing pages - targeting a minimum of four experiments per month once infrastructure is established Evaluate and improve how content on Exchange pages creates clear hooks and logical pathways that guide high intent visitors toward account creation Onboarding Funnel (Sign up to KYC Initiation) Own conversion performance and UX quality at every step of the post sign up journey: Email submission - CTA clarity, form design, and value proposition at the moment of commitment Email verification - delivery reliability, link click through rate, re send UX, and expiry handling Phone submission - international dialling UX, number format validation, and regional trust signals Phone verification (OTP) - delivery speed and reliability, SMS fallback, retry logic, and expiry management KYC initiation - clear expectation setting on documents required, estimated time, and next steps, so users arrive at the KYC stage informed and prepared rather than surprised Define conversion targets at each step, track actuals on a weekly cadence, and drive improvements through UX iteration and controlled experimentation Ensure step level drop off is fully attributed to specific friction points rather than absorbed into aggregate funnel metrics Work with Legal and Compliance to accommodate regional onboarding variations without creating dead end experiences for users in specific markets Sign up Rewards Design and own the reward mechanics tied to the sign up event - welcome bonuses, sign up campaign incentives, and promotional offers that activate at account creation Work with Marketing and Campaigns to define reward value, eligibility criteria, and communication timing at the sign up stage, ensuring rewards are positioned as a conversion trigger rather than an afterthought Instrument reward redemption tracking to measure the direct impact of sign up incentives on registration conversion rate and downstream funnel progression Build fraud resistance into reward mechanics at the sign up boundary - specifically multi accounting, disposable email sign ups, and synthetic identity abuse of promotional offers Own the clean handoff to the Verification & Activation PM: sign up reward is claimed at account creation; the KYC completion, first deposit, and first trade reward ladder is owned downstream Login & Authentication Own the sign in experience across web, iOS, and Android - targeting time to login below 10 seconds for returning users Lead the Exchange's path toward passwordless first authentication: passkeys (FIDO2/WebAuthn) as the strategic direction, with Face ID and on device biometrics as the primary implementation layer, and passcode or password as a fallback rather than the default Drive adoption of passkey and biometric authentication as leading indicator metrics for the modernisation of the authentication stack Own session management, device identification, and session hijacking protection in partnership with Security and Risk Design and maintain account recovery flows that balance user access needs with ATO prevention Ensure compliance with regional authentication regulations - including Strong Customer Authentication (SCA) - without introducing friction that degrades the experience for legitimate users Architect guardrails against modern authentication abuse vectors, including AI generated identity attacks and automated credential abuse, as a PM driven design constraint from the outset AI Native Ways of Working Use agentic AI tools - Cursor, Claude Code, Gemini, LibreChat, Glean, or equivalent - with human in the loop practices to reduce the time from insight to experiment to shipped improvement Champion AI native product development practices across your squad Requirements Experience 6-8+ years in Product Management Proven experience at a high growth technology company - crypto exchange, fintech, neo bank, or multi asset broker preferred but not mandatory - where you have personally owned and solved the problems described in this role: conversion funnel optimisation, sign up instrumentation, authentication modernisation, or onboarding reward design Proven track record owning a sign up, onboarding, or authentication funnel end to end - with measurable conversion improvements as evidence of impact Analytics and Instrumentation Deep hands on experience with product analytics platforms - Mixpanel, Amplitude, Segment, GA4, or equivalents Able to write SQL to build funnel queries and cohort analyses independently Practical experience with session recording and heatmap tooling - knows how to design an event taxonomy from scratch, not just consume one Experienced in designing and running statistically valid A/B experiments - including managing peeking bias, sample ratio mismatch, and novelty effects Proficient with experimentation platforms - Optimizely, VWO, LaunchDarkly, Statsig, or equivalent Technical Fluency Understands end to end event instrumentation: client side event firing, server side validation, and data pipeline to analytics warehouse - able to review an instrumentation spec with Engineering and identify gaps Comfortable discussing OTP delivery architecture, FIDO2/WebAuthn/passkey implementation, session token design, and ATO prevention systems with Engineering teams Understands how regional compliance requirements (SCA, GDPR . click apply for full job details
10/07/2026
Full time
Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross functional team members to ship remarkable features and products. About the Role Exchange serves tens of millions of users globally, and we are scaling aggressively. As we grow our reach across new markets and channels, the precision with which we understand, optimise, and personalise the journey from first visit to fully activated account becomes a core competitive advantage. This role owns that journey end to end - across four deeply connected areas. Landing & Conversion You will build and own the behavioural analytics layer that lets us understand how users engage with our pages, what drives them toward sign up, and where we can sharpen the experience. You will run a relentless A/B testing programme to convert high intent visitors into registered users. Onboarding You will own the full sign up funnel: email submission through to KYC initiation. Every touchpoint in this sequence is an opportunity to reduce friction, build trust, and set the user up for activation. Sign up Rewards You will own the reward and incentive mechanics tied to the sign up event: welcome bonuses, sign up campaign offers, and any reward that activates at account creation. The goal is to use reward design as a conversion lever at the top of the funnel - pulling users from landing to registered account faster and with higher intent. Onboarding rewards from KYC completion through to first deposit and first trade are owned separately. Login & Authentication You will own the returning user experience: a fast, secure, and modern authentication journey that keeps active users engaged and protects them without making them feel it. These four areas are held by one PM because decisions in each are deeply interconnected. The trust built during onboarding shapes the authentication experience users expect. The reward mechanic at sign up influences how users behave through KYC initiation. The quality of the login journey determines whether funded users return to trade again tomorrow. This is an execution first, high ownership role. The PM who takes it drives stakeholders to unblock, prioritise, and ship - without waiting for direction. The Team Growth - coordinating on landing page experience and UTM attribution upstream of sign up Design - page layout, onboarding UX, authentication UI, and content hierarchy Engineering - analytics instrumentation, A/B test infrastructure, auth systems, and verification flows, development Data / Analytics - funnel dashboards, experimentation analysis, and session behavioural data Security / Risk - authentication architecture, ATO prevention, and fraud signal integration Verification & Activation PM - shared instrumentation and alignment at the KYC initiation boundary; reward ladder handoff Key Responsibilities Landing & Conversion Optimisation Design and implement a comprehensive behavioural analytics framework across Exchange landing pages - covering scroll depth, content engagement, CTA performance, drop off attribution, and device and geo segmentation Define the event taxonomy in partnership with Engineering and Data, ensuring every meaningful pre sign up user action is instrumented, labelled, and queryable at scale Build and own real time funnel dashboards that give the full team visibility into the landing to sign up conversion journey Conduct continuous analysis using session recording and heatmap tooling (FullStory, Hotjar, Microsoft Clarity, or equivalent) to surface engagement patterns and conversion opportunities Translate behavioural insights into hypotheses and work with Design and Content to optimise page layout, messaging hierarchy, trust signals, and CTA placement Run a structured, high velocity A/B testing programme across landing pages - targeting a minimum of four experiments per month once infrastructure is established Evaluate and improve how content on Exchange pages creates clear hooks and logical pathways that guide high intent visitors toward account creation Onboarding Funnel (Sign up to KYC Initiation) Own conversion performance and UX quality at every step of the post sign up journey: Email submission - CTA clarity, form design, and value proposition at the moment of commitment Email verification - delivery reliability, link click through rate, re send UX, and expiry handling Phone submission - international dialling UX, number format validation, and regional trust signals Phone verification (OTP) - delivery speed and reliability, SMS fallback, retry logic, and expiry management KYC initiation - clear expectation setting on documents required, estimated time, and next steps, so users arrive at the KYC stage informed and prepared rather than surprised Define conversion targets at each step, track actuals on a weekly cadence, and drive improvements through UX iteration and controlled experimentation Ensure step level drop off is fully attributed to specific friction points rather than absorbed into aggregate funnel metrics Work with Legal and Compliance to accommodate regional onboarding variations without creating dead end experiences for users in specific markets Sign up Rewards Design and own the reward mechanics tied to the sign up event - welcome bonuses, sign up campaign incentives, and promotional offers that activate at account creation Work with Marketing and Campaigns to define reward value, eligibility criteria, and communication timing at the sign up stage, ensuring rewards are positioned as a conversion trigger rather than an afterthought Instrument reward redemption tracking to measure the direct impact of sign up incentives on registration conversion rate and downstream funnel progression Build fraud resistance into reward mechanics at the sign up boundary - specifically multi accounting, disposable email sign ups, and synthetic identity abuse of promotional offers Own the clean handoff to the Verification & Activation PM: sign up reward is claimed at account creation; the KYC completion, first deposit, and first trade reward ladder is owned downstream Login & Authentication Own the sign in experience across web, iOS, and Android - targeting time to login below 10 seconds for returning users Lead the Exchange's path toward passwordless first authentication: passkeys (FIDO2/WebAuthn) as the strategic direction, with Face ID and on device biometrics as the primary implementation layer, and passcode or password as a fallback rather than the default Drive adoption of passkey and biometric authentication as leading indicator metrics for the modernisation of the authentication stack Own session management, device identification, and session hijacking protection in partnership with Security and Risk Design and maintain account recovery flows that balance user access needs with ATO prevention Ensure compliance with regional authentication regulations - including Strong Customer Authentication (SCA) - without introducing friction that degrades the experience for legitimate users Architect guardrails against modern authentication abuse vectors, including AI generated identity attacks and automated credential abuse, as a PM driven design constraint from the outset AI Native Ways of Working Use agentic AI tools - Cursor, Claude Code, Gemini, LibreChat, Glean, or equivalent - with human in the loop practices to reduce the time from insight to experiment to shipped improvement Champion AI native product development practices across your squad Requirements Experience 6-8+ years in Product Management Proven experience at a high growth technology company - crypto exchange, fintech, neo bank, or multi asset broker preferred but not mandatory - where you have personally owned and solved the problems described in this role: conversion funnel optimisation, sign up instrumentation, authentication modernisation, or onboarding reward design Proven track record owning a sign up, onboarding, or authentication funnel end to end - with measurable conversion improvements as evidence of impact Analytics and Instrumentation Deep hands on experience with product analytics platforms - Mixpanel, Amplitude, Segment, GA4, or equivalents Able to write SQL to build funnel queries and cohort analyses independently Practical experience with session recording and heatmap tooling - knows how to design an event taxonomy from scratch, not just consume one Experienced in designing and running statistically valid A/B experiments - including managing peeking bias, sample ratio mismatch, and novelty effects Proficient with experimentation platforms - Optimizely, VWO, LaunchDarkly, Statsig, or equivalent Technical Fluency Understands end to end event instrumentation: client side event firing, server side validation, and data pipeline to analytics warehouse - able to review an instrumentation spec with Engineering and identify gaps Comfortable discussing OTP delivery architecture, FIDO2/WebAuthn/passkey implementation, session token design, and ATO prevention systems with Engineering teams Understands how regional compliance requirements (SCA, GDPR . click apply for full job details
Principal AI Engineer (London) CBRE is building the future of AI driven data governance and analytics at enterprise scale. We're looking for a Principal AI Engineer to lead the charge - someone who can architect solutions, ship code, and use AI to move fast. This is a new, high impact individual contributor role reporting directly to the Senior Director of Data Governance and Engineering. You'll have a clear path to building and leading a team as we scale - embedded in a 20 person governance and engineering team, working at the intersection of AI/ML, data quality, and master data management. Why This Role Matters at CBRE AI is not a future capability at CBRE - it's the next phase of how we operate at scale. Our data estate spans commercial real estate transactions, property assets, and client relationships across the globe, and the volume and complexity of that data demands intelligence, not just automation. This Principal Engineer will be the first to architect and ship AI native solutions across our governance and MDM programs - defining how LLMs, agents, and ML models become embedded in how CBRE manages and trusts its data. Your First Mission (Months 1-6) Build a proof of concept using LLMs to automate data stewardship in our Reltio MDM platform - specifically, AI driven entity matching and merging. Prove that LLMs can make our data cleaner, faster, and smarter. From there, you'll help shape how CBRE adopts AI across data governance, analytics, and beyond - moving from proof of concept to production, and from one use case to many. What you will be doing: AI/ML Solution Architecture Architect and implement AI/ML solutions that drive data quality, governance, and analytics at scale across CBRE's enterprise data estate. Integrate LLMs via our internal Ellis AI platform into data workflows - entity matching, classification, quality scoring, and anomaly detection. Design agent frameworks and RAG pipelines that connect CBRE's proprietary data assets to LLM capabilities in a governed, production ready way. Evaluate emerging AI capabilities and translate them into prioritised, implementable solutions aligned to CBRE's governance and data strategy. Platform Engineering & Delivery Build production systems using Python, AWS, Snowflake, and Reltio APIs - you architect and you ship. Use AI to write code - we expect you to move fast with modern AI assisted development tooling and set the standard for the team. Embed AI capabilities into existing data pipelines and governance workflows, ensuring solutions are scalable, observable, and maintainable in production. Collaboration & Stakeholder Engagement Collaborate cross functionally with data engineers, governance teams, DQ engineers, and business stakeholders to identify and prioritise AI use cases. Partner with the Collibra and SODA engineering leads to identify where AI can accelerate metadata enrichment, DQ automation, and stewardship workflows. Evangelise AI adoption across the data team - teach, mentor, and influence how CBRE thinks about AI and data at every level of the organization. What You Bring Must Haves Experience building production data and engineering systems with demonstrable delivery at enterprise scale. Deep hands on experience with LLMs - not just using APIs, but architecting solutions: prompting strategies, RAG, fine tuning, and agent frameworks. Expert level Python and modern ML/AI frameworks. AWS experience - you know how to build, deploy, and scale on cloud infrastructure. Track record of shipping AI products that solve real business problems - not just prototypes. Architect + implementer mindset - you design elegant systems and roll up your sleeves to build them. Nice to Haves Experience with Master Data Management (MDM) or Reltio specifically. Snowflake expertise - data modelling, Snowpark, or Cortex ML. Prior work in commercial real estate or large enterprise data environments. Familiarity with Collibra or SODA - understanding how AI augments governance and DQ platforms. Our Stack AI Platform - internal LLM platform with OpenAI, Gemini, and more, Claude Cloud - AWS Data Warehouse - Snowflake MDM - Reltio Data Governance - Collibra DQ Platform - SODA Integration - SnapLogic Languages - Python (primary), SQL Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. We welcome all applicants.
10/07/2026
Full time
Principal AI Engineer (London) CBRE is building the future of AI driven data governance and analytics at enterprise scale. We're looking for a Principal AI Engineer to lead the charge - someone who can architect solutions, ship code, and use AI to move fast. This is a new, high impact individual contributor role reporting directly to the Senior Director of Data Governance and Engineering. You'll have a clear path to building and leading a team as we scale - embedded in a 20 person governance and engineering team, working at the intersection of AI/ML, data quality, and master data management. Why This Role Matters at CBRE AI is not a future capability at CBRE - it's the next phase of how we operate at scale. Our data estate spans commercial real estate transactions, property assets, and client relationships across the globe, and the volume and complexity of that data demands intelligence, not just automation. This Principal Engineer will be the first to architect and ship AI native solutions across our governance and MDM programs - defining how LLMs, agents, and ML models become embedded in how CBRE manages and trusts its data. Your First Mission (Months 1-6) Build a proof of concept using LLMs to automate data stewardship in our Reltio MDM platform - specifically, AI driven entity matching and merging. Prove that LLMs can make our data cleaner, faster, and smarter. From there, you'll help shape how CBRE adopts AI across data governance, analytics, and beyond - moving from proof of concept to production, and from one use case to many. What you will be doing: AI/ML Solution Architecture Architect and implement AI/ML solutions that drive data quality, governance, and analytics at scale across CBRE's enterprise data estate. Integrate LLMs via our internal Ellis AI platform into data workflows - entity matching, classification, quality scoring, and anomaly detection. Design agent frameworks and RAG pipelines that connect CBRE's proprietary data assets to LLM capabilities in a governed, production ready way. Evaluate emerging AI capabilities and translate them into prioritised, implementable solutions aligned to CBRE's governance and data strategy. Platform Engineering & Delivery Build production systems using Python, AWS, Snowflake, and Reltio APIs - you architect and you ship. Use AI to write code - we expect you to move fast with modern AI assisted development tooling and set the standard for the team. Embed AI capabilities into existing data pipelines and governance workflows, ensuring solutions are scalable, observable, and maintainable in production. Collaboration & Stakeholder Engagement Collaborate cross functionally with data engineers, governance teams, DQ engineers, and business stakeholders to identify and prioritise AI use cases. Partner with the Collibra and SODA engineering leads to identify where AI can accelerate metadata enrichment, DQ automation, and stewardship workflows. Evangelise AI adoption across the data team - teach, mentor, and influence how CBRE thinks about AI and data at every level of the organization. What You Bring Must Haves Experience building production data and engineering systems with demonstrable delivery at enterprise scale. Deep hands on experience with LLMs - not just using APIs, but architecting solutions: prompting strategies, RAG, fine tuning, and agent frameworks. Expert level Python and modern ML/AI frameworks. AWS experience - you know how to build, deploy, and scale on cloud infrastructure. Track record of shipping AI products that solve real business problems - not just prototypes. Architect + implementer mindset - you design elegant systems and roll up your sleeves to build them. Nice to Haves Experience with Master Data Management (MDM) or Reltio specifically. Snowflake expertise - data modelling, Snowpark, or Cortex ML. Prior work in commercial real estate or large enterprise data environments. Familiarity with Collibra or SODA - understanding how AI augments governance and DQ platforms. Our Stack AI Platform - internal LLM platform with OpenAI, Gemini, and more, Claude Cloud - AWS Data Warehouse - Snowflake MDM - Reltio Data Governance - Collibra DQ Platform - SODA Integration - SnapLogic Languages - Python (primary), SQL Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. We welcome all applicants.
About the role As a Senior Full Stack Software Engineer at Informed Solutions, you'll take a leading role in designing, building, and delivering complex digital solutions that tackle real world challenges in the public sector. Your work will make a tangible difference, helping to create a healthier, safer, and more sustainable UK. You'll be part of a collaborative, high performing team, taking ownership of end to end delivery on greenfield projects while guiding and supporting colleagues to develop their skills and contribute effectively. Working across Software Engineering, User Centred Design, Delivery Management, and Live Services, you'll help shape enterprise scale digital solutions for high profile clients, influencing technical direction and driving innovation. Our consultancy is technology agnostic, empowering you to architect the best solutions using the most effective tools for each challenge. With technologies ranging from .NET, Java, Python, Node.js, AWS and Azure, you'll have opportunities to deepen your expertise, explore new areas, and grow your career. This role offers flexibility to be based from our Altrincham (Manchester) or Westminster (London) offices, supporting a hybrid working approach. Role Responsibilities Own delivery of services: Take responsibility for the engineering and delivery of small to medium services or major components of larger services across the full lifecycle, from design and build through to deployment, operation and continual improvement. Lead on architecture and design: Take ownership of the end to end design of components or services, producing and maintaining high quality documentation. Collaborate with Lead and Principal Engineers, and practitioners from disciplines such as UCD and Data Science, to review and refine designs and translate them into robust implementations. Support delivery planning: Partner with Delivery Managers to plan and structure technical activities, provide accurate and commercially sound estimates, and proactively identify and mitigate technical risks, issues and dependencies. Build stakeholder trust: Act as a trusted technical advisor to client counterparts, partner organisations and third parties, ensuring alignment between business needs and technical delivery. Mentor and develop others: Provide guidance and technical leadership to colleagues, supporting their professional growth, fostering high quality delivery, and enabling the team to work efficiently and confidently. Essential Skills 5+ years' proven experience in a Full Stack Engineering role, with advanced skills in .NET, Java or Python, plus modern JavaScript libraries. Experience taking ownership of delivery for services or significant components across the full lifecycle from design to operation. Strong understanding of architectural and design patterns, including serverless and microservices, with the ability to lead and assure their application. Experience working in Agile environments, using Scrum, Kanban and test driven development (TDD), and contributing to delivery planning and estimation. Experience mentoring and supporting less experienced engineers, providing guidance and enabling high quality, efficient delivery. Proven experience engaging with clients, taking ownership of technical decisions and delivery outcomes, and building trusted relationships. Hands on expertise with cloud platforms (AWS or Azure), delivering scalable, secure and well architected solutions. Familiarity with CI/CD tools such as Jenkins and/or Terraform. Desirable Skills Experience working in a consultancy environment, engaging with external stakeholders and clients. Exposure to public sector projects and delivering solutions in complex organisational landscapes. Key Abilities that are Necessary for Success Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change, and agile working. Ability to manage competing priorities and your time so you can deliver high quality work within deadlines. Good interpersonal skills, with the ability to respect and accept different perspectives and disagreement, work collaboratively in diverse teams, and maintain positive working relationships. Good judgement and decision making in complex environments where uncertainty, ambiguity, and risk must be collaboratively managed by working supportively alongside others. Good communication skills, including clear, constructive written outputs and measured, respectful verbal delivery. What You'll Gain Ownership and influence: Lead the delivery of services, shape technical direction, and influence project outcomes at a senior level. Professional growth: Develop your leadership and mentoring skills, guiding colleagues and helping them thrive. Exposure to high profile projects: Work on enterprise scale digital solutions that improve public services and have societal impact. Technical development: Expand your expertise across a wide range of modern technologies, including cloud, microservices and serverless architectures. Collaborative, supportive environment: Join a team that values learning, knowledge sharing, and continuous improvement. Career progression: Opportunities to grow within a consultancy setting, broadening your client facing experience and technical leadership. Benefits Package Our benefits package complements highly competitive salaries and a supportive working environment. InformedACADEMY - career development opportunities through award winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Qualifying period applies
10/07/2026
Full time
About the role As a Senior Full Stack Software Engineer at Informed Solutions, you'll take a leading role in designing, building, and delivering complex digital solutions that tackle real world challenges in the public sector. Your work will make a tangible difference, helping to create a healthier, safer, and more sustainable UK. You'll be part of a collaborative, high performing team, taking ownership of end to end delivery on greenfield projects while guiding and supporting colleagues to develop their skills and contribute effectively. Working across Software Engineering, User Centred Design, Delivery Management, and Live Services, you'll help shape enterprise scale digital solutions for high profile clients, influencing technical direction and driving innovation. Our consultancy is technology agnostic, empowering you to architect the best solutions using the most effective tools for each challenge. With technologies ranging from .NET, Java, Python, Node.js, AWS and Azure, you'll have opportunities to deepen your expertise, explore new areas, and grow your career. This role offers flexibility to be based from our Altrincham (Manchester) or Westminster (London) offices, supporting a hybrid working approach. Role Responsibilities Own delivery of services: Take responsibility for the engineering and delivery of small to medium services or major components of larger services across the full lifecycle, from design and build through to deployment, operation and continual improvement. Lead on architecture and design: Take ownership of the end to end design of components or services, producing and maintaining high quality documentation. Collaborate with Lead and Principal Engineers, and practitioners from disciplines such as UCD and Data Science, to review and refine designs and translate them into robust implementations. Support delivery planning: Partner with Delivery Managers to plan and structure technical activities, provide accurate and commercially sound estimates, and proactively identify and mitigate technical risks, issues and dependencies. Build stakeholder trust: Act as a trusted technical advisor to client counterparts, partner organisations and third parties, ensuring alignment between business needs and technical delivery. Mentor and develop others: Provide guidance and technical leadership to colleagues, supporting their professional growth, fostering high quality delivery, and enabling the team to work efficiently and confidently. Essential Skills 5+ years' proven experience in a Full Stack Engineering role, with advanced skills in .NET, Java or Python, plus modern JavaScript libraries. Experience taking ownership of delivery for services or significant components across the full lifecycle from design to operation. Strong understanding of architectural and design patterns, including serverless and microservices, with the ability to lead and assure their application. Experience working in Agile environments, using Scrum, Kanban and test driven development (TDD), and contributing to delivery planning and estimation. Experience mentoring and supporting less experienced engineers, providing guidance and enabling high quality, efficient delivery. Proven experience engaging with clients, taking ownership of technical decisions and delivery outcomes, and building trusted relationships. Hands on expertise with cloud platforms (AWS or Azure), delivering scalable, secure and well architected solutions. Familiarity with CI/CD tools such as Jenkins and/or Terraform. Desirable Skills Experience working in a consultancy environment, engaging with external stakeholders and clients. Exposure to public sector projects and delivering solutions in complex organisational landscapes. Key Abilities that are Necessary for Success Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change, and agile working. Ability to manage competing priorities and your time so you can deliver high quality work within deadlines. Good interpersonal skills, with the ability to respect and accept different perspectives and disagreement, work collaboratively in diverse teams, and maintain positive working relationships. Good judgement and decision making in complex environments where uncertainty, ambiguity, and risk must be collaboratively managed by working supportively alongside others. Good communication skills, including clear, constructive written outputs and measured, respectful verbal delivery. What You'll Gain Ownership and influence: Lead the delivery of services, shape technical direction, and influence project outcomes at a senior level. Professional growth: Develop your leadership and mentoring skills, guiding colleagues and helping them thrive. Exposure to high profile projects: Work on enterprise scale digital solutions that improve public services and have societal impact. Technical development: Expand your expertise across a wide range of modern technologies, including cloud, microservices and serverless architectures. Collaborative, supportive environment: Join a team that values learning, knowledge sharing, and continuous improvement. Career progression: Opportunities to grow within a consultancy setting, broadening your client facing experience and technical leadership. Benefits Package Our benefits package complements highly competitive salaries and a supportive working environment. InformedACADEMY - career development opportunities through award winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Qualifying period applies
United States Digital Space LLC
Basingstoke, Hampshire
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
10/07/2026
Full time
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
United States Digital Space LLC
Basingstoke, Hampshire
Hawk-Eye in the United Kingdom is seeking a Principal Java Engineer to lead backend platform design and data pipelines for a new sports technology product. You'll own the backend architecture, data ingestion, and API layer, with a focus on low-latency, reliable delivery across the stack. Collaborate with frontend review, cloud services (AWS), and data specialists, ensuring scalable, observable systems that run 24/7.
10/07/2026
Full time
Hawk-Eye in the United Kingdom is seeking a Principal Java Engineer to lead backend platform design and data pipelines for a new sports technology product. You'll own the backend architecture, data ingestion, and API layer, with a focus on low-latency, reliable delivery across the stack. Collaborate with frontend review, cloud services (AWS), and data specialists, ensuring scalable, observable systems that run 24/7.
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
10/07/2026
Full time
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
As part of the M&S Software Engineering team, you'll be joining a well-loved British brand, working on solutions that serve millions of loyal customers and thousands of colleagues. With ethical values at the heart of the business and technology leaders who understand modern software engineering, this is an exciting time to join us as we become a digital-first, engineering-led organisation. We are looking for a Principal Software Engineer to provide senior technical leadership across our International Fashion, Home & Beauty domain. You will shape and modernise mission-critical platforms that support international growth, working closely with Engineering, Product, Architecture, Delivery and partner teams to design robust, scalable, secure and reusable technology solutions. This role is central to enabling M&S to scale across international stores, digital commerce channels and partner propositions. You will set technical direction, raise engineering standards and help build platforms that support product, price and availability flows, partner and marketplace integrations, fulfilment, warehouse and logistics integrations, and market-specific customer experiences. Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible. What You'll Do Your key accountabilities will include: Lead technical excellence across the full software development lifecycle, from solution design through launch and live operation of core product features, strategic platforms and business critical programmes. Define and evolve scalable integration patterns for product, price and availability flows, fulfilment capabilities, partner onboarding, marketplace integrations and market specific customer experiences. Shape technical direction and influence Technology and Product investment decisions, engineering team structures and delivery approaches to ensure sustainable, scalable outcomes. Champion engineering excellence by promoting clean code, clean architecture, automation, DevOps principles and pragmatic engineering practices that improve maintainability, productivity and delivery quality. Drive operational ownership and "you build it, you run it" practices, enabling teams to build, release, monitor and continuously improve the services they own. Provide technical leadership and guidance to internal engineering teams and external delivery partners, creating alignment across complex multi team and multi supplier delivery environments. Build engineering capability through mentoring, Communities of Practice, innovation initiatives, recruitment support, onboarding activities and contributions to the wider engineering community. Who You Are Your skills and experience will include: Significant experience providing technical leadership across complex software engineering environments, with a proven track record of strategic thinking, technical innovation and successful large scale delivery. Strong expertise in software engineering fundamentals, including clean code, clean architecture, design patterns, distributed systems and solution design for highly complex, business critical platforms. Demonstrable experience shaping technology strategy and implementation approaches, ensuring alignment with business objectives, engineering standards, governance requirements and long term architectural direction. Deep knowledge of cloud and platform engineering, including cloud native architectures, Kubernetes, networking, security, observability, reliability engineering and automation practices. Strong understanding of quality engineering, test strategies, testing quadrants, testing pyramids, continuous integration, continuous delivery and DevOps ownership models. Excellent communication, stakeholder management and influencing skills, with the ability to engage and guide senior technical and non technical audiences while driving consensus across multiple teams. A strong leadership mindset with high levels of ownership, accountability and coaching capability, helping senior engineers and stakeholders make effective technical decisions without over prescribing solutions. Tech Stack M&S uses a variety of technologies and, as part of our modernisation drive, will continue to introduce new ones. Technologies currently include: Java, Spring, Spring Boot and Micronaut React, Next.js, TypeScript and Angular Azure Cloud and Kubernetes Kafka and IBM MQ SQL Server, MongoDB and Redis OpenTelemetry and Dynatrace Desirable Experience Experience within retail, international commerce, supply chain or logistics environments, including warehouse management systems, fulfilment platforms, marketplace aggregators, partner integrations and complex customer or partner ecosystems. Experience working with third party vendors, system integrators and outsourced delivery models, with the ability to maintain engineering quality, architectural standards and delivery consistency across mixed internal and external teams. Experience leading engineering communities or Communities of Practice, presenting at internal or external technology events, and demonstrating entrepreneurial thinking to drive innovation, continuous improvement and organisational change. What's in it for you? Working at M&S means being part of something bigger - helping to deliver quality, value and service to millions of customers every day. We're inclusive, fast moving and always evolving, with a strong sense of purpose and a focus on doing the right thing. Here are just a few of the benefits that make working here even more rewarding: 20% colleague discount on all M&S products and many third party brands for you and someone in your household, available once you've completed your probation. Competitive holiday allowance with the option to buy more. Discretionary bonus schemes linked to your performance and ours. Strong pension and life assurance to help plan for the future. Tailored induction and training to support your development from day one. Exclusive perks and savings through our M&S Choices portal. Market leading family policies, including parental, adoption and neonatal leave. 24/7 wellbeing support, including virtual GP access and mental health services. One paid volunteer day a year to support a cause that matters to you. Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
10/07/2026
Full time
As part of the M&S Software Engineering team, you'll be joining a well-loved British brand, working on solutions that serve millions of loyal customers and thousands of colleagues. With ethical values at the heart of the business and technology leaders who understand modern software engineering, this is an exciting time to join us as we become a digital-first, engineering-led organisation. We are looking for a Principal Software Engineer to provide senior technical leadership across our International Fashion, Home & Beauty domain. You will shape and modernise mission-critical platforms that support international growth, working closely with Engineering, Product, Architecture, Delivery and partner teams to design robust, scalable, secure and reusable technology solutions. This role is central to enabling M&S to scale across international stores, digital commerce channels and partner propositions. You will set technical direction, raise engineering standards and help build platforms that support product, price and availability flows, partner and marketplace integrations, fulfilment, warehouse and logistics integrations, and market-specific customer experiences. Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible. What You'll Do Your key accountabilities will include: Lead technical excellence across the full software development lifecycle, from solution design through launch and live operation of core product features, strategic platforms and business critical programmes. Define and evolve scalable integration patterns for product, price and availability flows, fulfilment capabilities, partner onboarding, marketplace integrations and market specific customer experiences. Shape technical direction and influence Technology and Product investment decisions, engineering team structures and delivery approaches to ensure sustainable, scalable outcomes. Champion engineering excellence by promoting clean code, clean architecture, automation, DevOps principles and pragmatic engineering practices that improve maintainability, productivity and delivery quality. Drive operational ownership and "you build it, you run it" practices, enabling teams to build, release, monitor and continuously improve the services they own. Provide technical leadership and guidance to internal engineering teams and external delivery partners, creating alignment across complex multi team and multi supplier delivery environments. Build engineering capability through mentoring, Communities of Practice, innovation initiatives, recruitment support, onboarding activities and contributions to the wider engineering community. Who You Are Your skills and experience will include: Significant experience providing technical leadership across complex software engineering environments, with a proven track record of strategic thinking, technical innovation and successful large scale delivery. Strong expertise in software engineering fundamentals, including clean code, clean architecture, design patterns, distributed systems and solution design for highly complex, business critical platforms. Demonstrable experience shaping technology strategy and implementation approaches, ensuring alignment with business objectives, engineering standards, governance requirements and long term architectural direction. Deep knowledge of cloud and platform engineering, including cloud native architectures, Kubernetes, networking, security, observability, reliability engineering and automation practices. Strong understanding of quality engineering, test strategies, testing quadrants, testing pyramids, continuous integration, continuous delivery and DevOps ownership models. Excellent communication, stakeholder management and influencing skills, with the ability to engage and guide senior technical and non technical audiences while driving consensus across multiple teams. A strong leadership mindset with high levels of ownership, accountability and coaching capability, helping senior engineers and stakeholders make effective technical decisions without over prescribing solutions. Tech Stack M&S uses a variety of technologies and, as part of our modernisation drive, will continue to introduce new ones. Technologies currently include: Java, Spring, Spring Boot and Micronaut React, Next.js, TypeScript and Angular Azure Cloud and Kubernetes Kafka and IBM MQ SQL Server, MongoDB and Redis OpenTelemetry and Dynatrace Desirable Experience Experience within retail, international commerce, supply chain or logistics environments, including warehouse management systems, fulfilment platforms, marketplace aggregators, partner integrations and complex customer or partner ecosystems. Experience working with third party vendors, system integrators and outsourced delivery models, with the ability to maintain engineering quality, architectural standards and delivery consistency across mixed internal and external teams. Experience leading engineering communities or Communities of Practice, presenting at internal or external technology events, and demonstrating entrepreneurial thinking to drive innovation, continuous improvement and organisational change. What's in it for you? Working at M&S means being part of something bigger - helping to deliver quality, value and service to millions of customers every day. We're inclusive, fast moving and always evolving, with a strong sense of purpose and a focus on doing the right thing. Here are just a few of the benefits that make working here even more rewarding: 20% colleague discount on all M&S products and many third party brands for you and someone in your household, available once you've completed your probation. Competitive holiday allowance with the option to buy more. Discretionary bonus schemes linked to your performance and ours. Strong pension and life assurance to help plan for the future. Tailored induction and training to support your development from day one. Exclusive perks and savings through our M&S Choices portal. Market leading family policies, including parental, adoption and neonatal leave. 24/7 wellbeing support, including virtual GP access and mental health services. One paid volunteer day a year to support a cause that matters to you. Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Principal Application Engineer - FX Technology / Order Management Location: London Corporate Title: Director Our Foreign Exchange (FX) Technology team are working with cutting edge technology to support a top 3 leadership position of Deutsche Bank in the Foreign Exchange space. You'll be working with the technology supporting our award winning Autobahn platform to greatly enhance our client's product experience, re engineer parts of our orders offering with strong performance, flexibility and uncompromising quality in mind as well as drive AI adoption across our electronic trading ecosystem. Key Responsibilities Collaborate with product and trading partners to create a perfect technology solution for FX clients' needs. Manage implementation efforts across the Autobahn technology stack, driving excellence in architectural design and delivery. Invest in automated testing and smart test driven development. Conduct performance research and apply out of the box thinking to develop highly performant technology solutions. Produce clear and concise documentation and roadmaps shared both within technology and with business partners. Key Skills and Experience Excellent knowledge of core Java platform. Experience in performance optimisation of multi threaded Java applications or familiarity with no GC Java coding is a plus. Solid experience implementing order management / order routing infrastructure for any electronic trading product (FX, Rates, Equity or Listed Derivatives). Experience with development of fault tolerant transaction management architectures. Experience with test driven development and ability to design efficient fast paced development setups resulting in high quality delivery outcomes. Benefits & Compensation Hybrid working model with flexible remote options. Competitive salary and non contributory pension. 30 days' holiday plus bank holidays, with the option to purchase additional days. Life assurance and private healthcare for you and your family. Retail discounts, Bike4Work scheme, gym benefits. Opportunities for CSR programme participation and 2 days volunteering leave per year. Support and Development Training and development programmes. Flexible working to balance personal priorities. Coaching and support from experts in your team. Cultivated culture of continuous learning. A range of flexible benefits that can be tailored to suit your needs. Equal Opportunity Employer We value diversity and are an equal opportunities employer, making reasonable adjustments for those with a disability such as assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards). We welcome applications from all people and promote a positive, fair and inclusive work environment.
10/07/2026
Full time
Principal Application Engineer - FX Technology / Order Management Location: London Corporate Title: Director Our Foreign Exchange (FX) Technology team are working with cutting edge technology to support a top 3 leadership position of Deutsche Bank in the Foreign Exchange space. You'll be working with the technology supporting our award winning Autobahn platform to greatly enhance our client's product experience, re engineer parts of our orders offering with strong performance, flexibility and uncompromising quality in mind as well as drive AI adoption across our electronic trading ecosystem. Key Responsibilities Collaborate with product and trading partners to create a perfect technology solution for FX clients' needs. Manage implementation efforts across the Autobahn technology stack, driving excellence in architectural design and delivery. Invest in automated testing and smart test driven development. Conduct performance research and apply out of the box thinking to develop highly performant technology solutions. Produce clear and concise documentation and roadmaps shared both within technology and with business partners. Key Skills and Experience Excellent knowledge of core Java platform. Experience in performance optimisation of multi threaded Java applications or familiarity with no GC Java coding is a plus. Solid experience implementing order management / order routing infrastructure for any electronic trading product (FX, Rates, Equity or Listed Derivatives). Experience with development of fault tolerant transaction management architectures. Experience with test driven development and ability to design efficient fast paced development setups resulting in high quality delivery outcomes. Benefits & Compensation Hybrid working model with flexible remote options. Competitive salary and non contributory pension. 30 days' holiday plus bank holidays, with the option to purchase additional days. Life assurance and private healthcare for you and your family. Retail discounts, Bike4Work scheme, gym benefits. Opportunities for CSR programme participation and 2 days volunteering leave per year. Support and Development Training and development programmes. Flexible working to balance personal priorities. Coaching and support from experts in your team. Cultivated culture of continuous learning. A range of flexible benefits that can be tailored to suit your needs. Equal Opportunity Employer We value diversity and are an equal opportunities employer, making reasonable adjustments for those with a disability such as assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards). We welcome applications from all people and promote a positive, fair and inclusive work environment.
What You'll Do Design and implement scalable, high-performance backend systems to power our e-commerce experience. Build and maintain interfaces that support our frontend, mobile, and third party integrations. Be very experienced working with pull, push models for data parity between third parties and our systems around e commerce concerns of product, stock, orders and fulfillment synchronization. You'll design, implement and deploy reliable software to solve complex e commerce concerns. Architect systems for membership access, catalog management, checkout, order fulfillment, and payments. Collaborate cross functionally with product, design, and data teams to deliver features that elevate the user experience. Own backend services end to end, from design to deployment and monitoring. Contribute to best practices in code quality, testing, reliability, and observability. Help define our backend architecture and make strategic technical decisions as we scale. Mentor junior engineers and foster a culture of technical excellence and collaboration. Who You Are 8+ years of experience building and scaling backend systems in production environments. 4+ years leading Ruby cloud stack teams as a Principal Engineer/Architect. Deep familiarity with the Ruby object model - eigenclasses, method dispatch, method_missing, send, and all variable types. Expert skills with Ruby idiomatic patterns, metaprogramming, and the ability to create macros, DSLs, and contribute to widely used gems. Proficient in developing complex applications without Rails and in deploying Rails features versus custom Ruby plugins as appropriate. Experience building APIs and distributed services using Ruby. Knowledge of Rails AREL performance characteristics, Sidekiq job handling, and efficient code patterns. Expert knowledge of data model design for e commerce, including locking sensitive resources (e.g., credit card charges) and using state machines. Advanced PostgreSQL expertise: complex joins, reporting queries, data modeling, and performance optimization. Familiarity with cloud infrastructure (AWS, ECS, CodeBuild) and containerization (Docker). Strong understanding of system design, data structures, and algorithmic principles. Experience with concurrency, inventory management/reservation, currency/price management, and third party API integration system designs with pull/push normalization. High familiarity with microservices design, employing software DSLs for cloud deployed solutions across numerous models, concerns, and integrations. Expertise in GraphQL and RESTful API development and deployment. Experience developing multi tenant systems, addressing access control, reporting, and authentication/authorization concerns. Comfortable working in high growth, early stage environments with a bias toward action and strong product sense. Collaborative teammate who communicates clearly and is excited to shape the future of a luxury tech brand. Bonus Points Prior experience in e commerce, marketplaces, or membership based platforms. Familiarity with event driven architectures and message queues (Kafka, SQS, etc). Experience working closely with design or product teams in consumer facing companies. Passion for fashion, luxury, or retail innovation. Why Join MILE Opportunity to play a key role in shaping the future of the company. Collaborative and innovative work environment. Career growth opportunities in a fast growing organisation.
10/07/2026
Full time
What You'll Do Design and implement scalable, high-performance backend systems to power our e-commerce experience. Build and maintain interfaces that support our frontend, mobile, and third party integrations. Be very experienced working with pull, push models for data parity between third parties and our systems around e commerce concerns of product, stock, orders and fulfillment synchronization. You'll design, implement and deploy reliable software to solve complex e commerce concerns. Architect systems for membership access, catalog management, checkout, order fulfillment, and payments. Collaborate cross functionally with product, design, and data teams to deliver features that elevate the user experience. Own backend services end to end, from design to deployment and monitoring. Contribute to best practices in code quality, testing, reliability, and observability. Help define our backend architecture and make strategic technical decisions as we scale. Mentor junior engineers and foster a culture of technical excellence and collaboration. Who You Are 8+ years of experience building and scaling backend systems in production environments. 4+ years leading Ruby cloud stack teams as a Principal Engineer/Architect. Deep familiarity with the Ruby object model - eigenclasses, method dispatch, method_missing, send, and all variable types. Expert skills with Ruby idiomatic patterns, metaprogramming, and the ability to create macros, DSLs, and contribute to widely used gems. Proficient in developing complex applications without Rails and in deploying Rails features versus custom Ruby plugins as appropriate. Experience building APIs and distributed services using Ruby. Knowledge of Rails AREL performance characteristics, Sidekiq job handling, and efficient code patterns. Expert knowledge of data model design for e commerce, including locking sensitive resources (e.g., credit card charges) and using state machines. Advanced PostgreSQL expertise: complex joins, reporting queries, data modeling, and performance optimization. Familiarity with cloud infrastructure (AWS, ECS, CodeBuild) and containerization (Docker). Strong understanding of system design, data structures, and algorithmic principles. Experience with concurrency, inventory management/reservation, currency/price management, and third party API integration system designs with pull/push normalization. High familiarity with microservices design, employing software DSLs for cloud deployed solutions across numerous models, concerns, and integrations. Expertise in GraphQL and RESTful API development and deployment. Experience developing multi tenant systems, addressing access control, reporting, and authentication/authorization concerns. Comfortable working in high growth, early stage environments with a bias toward action and strong product sense. Collaborative teammate who communicates clearly and is excited to shape the future of a luxury tech brand. Bonus Points Prior experience in e commerce, marketplaces, or membership based platforms. Familiarity with event driven architectures and message queues (Kafka, SQS, etc). Experience working closely with design or product teams in consumer facing companies. Passion for fashion, luxury, or retail innovation. Why Join MILE Opportunity to play a key role in shaping the future of the company. Collaborative and innovative work environment. Career growth opportunities in a fast growing organisation.
Job Title: Principal Software Engineer, AI Innovation Career Architecture Role: Software Engineer Career Architecture Tier: E35 (Principal, Expert Track) Job Summary: This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early-stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co-innovating with external partners. You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co-innovate, assess technical feasibility, and drive architecture decisions for high-impact, ambiguous, early-stage projects. Key Responsibilities Partner with internal and external stakeholders to identify, assess, and co-develop AI-driven innovation opportunities. Shape and prototype early-stage ideas, taking undefined problems and helping define what gets built. Lead technical feasibility reviews and shape architecture for enterprise-scale AI initiatives. Decide how projects are executed - whether built internally, handed off to partners, or scaled through dedicated delivery teams - and drive that execution. Build and prototype across the full stack, using modern tools and infrastructure. Guide multiple engineering squads, ensuring execution of the co-innovation strategy and measurable business impact. Collaborate closely with UX and Product to deliver differentiated, cross-functional solutions. Required Skills and Competencies Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions. Full-Stack Engineering, Modern Development Tools (Advanced): Build and prototype end-to-end across frontend, backend, and infrastructure. Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance. Collaboration, Innovation, Cross-Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions. Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast-moving, early-stage environments. Learning to Learn, Adaptability, Ethical Responsibility (Effective-Advanced): Embrace new technologies and maintain high ethical standards. Qualifications (Education & Experience) Extensive experience in software engineering and AI innovation, with a broad full-stack skillset. Proven track record of working on early-stage or 01 products, shaping direction rather than only executing defined requirements. Demonstrated ability to thrive in ambiguity and collaborate cross-functionally with UX, Product, and external partners. Proven track record in partner co-development and technical delivery. Deep expertise in software architecture, cloud, and emerging AI technologies. A career history showing adaptability across products or problem spaces. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing . Job Family: TECHNOLOGY Organization: Enterprise Learning & Skills Schedule: FULL_TIME Workplace Type: Hybrid Req ID: 24298
09/07/2026
Full time
Job Title: Principal Software Engineer, AI Innovation Career Architecture Role: Software Engineer Career Architecture Tier: E35 (Principal, Expert Track) Job Summary: This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early-stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co-innovating with external partners. You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co-innovate, assess technical feasibility, and drive architecture decisions for high-impact, ambiguous, early-stage projects. Key Responsibilities Partner with internal and external stakeholders to identify, assess, and co-develop AI-driven innovation opportunities. Shape and prototype early-stage ideas, taking undefined problems and helping define what gets built. Lead technical feasibility reviews and shape architecture for enterprise-scale AI initiatives. Decide how projects are executed - whether built internally, handed off to partners, or scaled through dedicated delivery teams - and drive that execution. Build and prototype across the full stack, using modern tools and infrastructure. Guide multiple engineering squads, ensuring execution of the co-innovation strategy and measurable business impact. Collaborate closely with UX and Product to deliver differentiated, cross-functional solutions. Required Skills and Competencies Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions. Full-Stack Engineering, Modern Development Tools (Advanced): Build and prototype end-to-end across frontend, backend, and infrastructure. Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance. Collaboration, Innovation, Cross-Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions. Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast-moving, early-stage environments. Learning to Learn, Adaptability, Ethical Responsibility (Effective-Advanced): Embrace new technologies and maintain high ethical standards. Qualifications (Education & Experience) Extensive experience in software engineering and AI innovation, with a broad full-stack skillset. Proven track record of working on early-stage or 01 products, shaping direction rather than only executing defined requirements. Demonstrated ability to thrive in ambiguity and collaborate cross-functionally with UX, Product, and external partners. Proven track record in partner co-development and technical delivery. Deep expertise in software architecture, cloud, and emerging AI technologies. A career history showing adaptability across products or problem spaces. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing . Job Family: TECHNOLOGY Organization: Enterprise Learning & Skills Schedule: FULL_TIME Workplace Type: Hybrid Req ID: 24298
Interested in leading engineers to deliver modern, scalable products that make a measurable impact? Ready to shape engineering culture-mentoring managers, championing quality, and accelerating delivery through continuous improvement? About the Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the Role You will provide leadership, direction, and day to day management for software engineering teams (including offshore partners and interns), ensuring high quality delivery across the software development life cycle. Working closely with product, project, and engineering peers, you will drive technical excellence, remove delivery blockers, and report progress and risks to senior leadership while helping shape talent, resourcing, and delivery standards. Responsibilities Own delivery execution across multiple workstreams, ensuring predictable plans, clear milestones, and on time releases. Partner with product owners, project/program leaders, and principal engineers to align priorities, scope, and technical approach. Lead, coach, and develop software engineering teams and people managers to deliver against product and platform goals. Champion engineering best practices (code reviews, CI/CD, test driven development, secure coding) and drive continuous improvement. Ensure adherence to enterprise architecture, quality, and compliance standards through reviews and governance. Provide technical leadership and escalation support for complex design decisions, production issues, and critical defects. Manage resourcing and capacity planning, including offshore/third party partnerships and staffing models (managed services, staff augmentation). Track, communicate, and mitigate delivery risks, dependencies, and blockers; report status, outcomes, and metrics to senior leadership. Support talent acquisition and growth (interviewing, hiring, onboarding, training, feedback, performance development). Collaborate with stakeholders and end users to clarify requirements, validate solutions, and iterate based on feedback. Lead the evolution of teams as they transition towards AI assisted development. Requirements 10+ years of hands on software development experience delivering production systems. Solid project planning and delivery management skills (scope, schedule, budget), using common planning and tracking tools. Excellent communication and stakeholder management skills, including reporting to senior/executive audiences and collaborating with customers/end users. 3+ years of engineering management experience, including leading teams and setting technical direction. Demonstrated experience managing multiple teams and concurrent workstreams with competing priorities. Proven ability to manage managers and build healthy team culture, accountability, and performance. Strong database and data modeling expertise, including design, optimization, and best practices. Strong proficiency in modern development stacks (e.g., JavaScript/TypeScript, C#, .NET, Angular and/or React). Working knowledge of AI trends and practical ways AI can improve development and delivery outcomes. Demonstrable knowledge of using Claude / Codex / Copilot. Bachelor's degree in Engineering/Computer Science (or equivalent practical experience). We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/07/2026
Full time
Interested in leading engineers to deliver modern, scalable products that make a measurable impact? Ready to shape engineering culture-mentoring managers, championing quality, and accelerating delivery through continuous improvement? About the Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the Role You will provide leadership, direction, and day to day management for software engineering teams (including offshore partners and interns), ensuring high quality delivery across the software development life cycle. Working closely with product, project, and engineering peers, you will drive technical excellence, remove delivery blockers, and report progress and risks to senior leadership while helping shape talent, resourcing, and delivery standards. Responsibilities Own delivery execution across multiple workstreams, ensuring predictable plans, clear milestones, and on time releases. Partner with product owners, project/program leaders, and principal engineers to align priorities, scope, and technical approach. Lead, coach, and develop software engineering teams and people managers to deliver against product and platform goals. Champion engineering best practices (code reviews, CI/CD, test driven development, secure coding) and drive continuous improvement. Ensure adherence to enterprise architecture, quality, and compliance standards through reviews and governance. Provide technical leadership and escalation support for complex design decisions, production issues, and critical defects. Manage resourcing and capacity planning, including offshore/third party partnerships and staffing models (managed services, staff augmentation). Track, communicate, and mitigate delivery risks, dependencies, and blockers; report status, outcomes, and metrics to senior leadership. Support talent acquisition and growth (interviewing, hiring, onboarding, training, feedback, performance development). Collaborate with stakeholders and end users to clarify requirements, validate solutions, and iterate based on feedback. Lead the evolution of teams as they transition towards AI assisted development. Requirements 10+ years of hands on software development experience delivering production systems. Solid project planning and delivery management skills (scope, schedule, budget), using common planning and tracking tools. Excellent communication and stakeholder management skills, including reporting to senior/executive audiences and collaborating with customers/end users. 3+ years of engineering management experience, including leading teams and setting technical direction. Demonstrated experience managing multiple teams and concurrent workstreams with competing priorities. Proven ability to manage managers and build healthy team culture, accountability, and performance. Strong database and data modeling expertise, including design, optimization, and best practices. Strong proficiency in modern development stacks (e.g., JavaScript/TypeScript, C#, .NET, Angular and/or React). Working knowledge of AI trends and practical ways AI can improve development and delivery outcomes. Demonstrable knowledge of using Claude / Codex / Copilot. Bachelor's degree in Engineering/Computer Science (or equivalent practical experience). We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Interested in leading engineers to deliver modern, scalable products that make a measurable impact? Ready to shape engineering culture-mentoring managers, championing quality, and accelerating delivery through continuous improvement? About the Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the Role You will provide leadership, direction, and day to day management for software engineering teams (including offshore partners and interns), ensuring high quality delivery across the software development life cycle. Working closely with product, project, and engineering peers, you will drive technical excellence, remove delivery blockers, and report progress and risks to senior leadership while helping shape talent, resourcing, and delivery standards. Responsibilities Own delivery execution across multiple workstreams, ensuring predictable plans, clear milestones, and on time releases. Partner with product owners, project/program leaders, and principal engineers to align priorities, scope, and technical approach. Lead, coach, and develop software engineering teams and people managers to deliver against product and platform goals. Champion engineering best practices (code reviews, CI/CD, test driven development, secure coding) and drive continuous improvement. Ensure adherence to enterprise architecture, quality, and compliance standards through reviews and governance. Provide technical leadership and escalation support for complex design decisions, production issues, and critical defects. Manage resourcing and capacity planning, including offshore/third party partnerships and staffing models (managed services, staff augmentation). Track, communicate, and mitigate delivery risks, dependencies, and blockers; report status, outcomes, and metrics to senior leadership. Support talent acquisition and growth (interviewing, hiring, onboarding, training, feedback, performance development). Collaborate with stakeholders and end users to clarify requirements, validate solutions, and iterate based on feedback. Lead the evolution of teams as they transition towards AI assisted development. Requirements 10+ years of hands on software development experience delivering production systems. Solid project planning and delivery management skills (scope, schedule, budget), using common planning and tracking tools. Excellent communication and stakeholder management skills, including reporting to senior/executive audiences and collaborating with customers/end users. 3+ years of engineering management experience, including leading teams and setting technical direction. Demonstrated experience managing multiple teams and concurrent workstreams with competing priorities. Proven ability to manage managers and build healthy team culture, accountability, and performance. Strong database and data modeling expertise, including design, optimization, and best practices. Strong proficiency in modern development stacks (e.g., JavaScript/TypeScript, C#, .NET, Angular and/or React). Working knowledge of AI trends and practical ways AI can improve development and delivery outcomes. Demonstrable knowledge of using Claude / Codex / Copilot. Bachelor's degree in Engineering/Computer Science (or equivalent practical experience). We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/07/2026
Full time
Interested in leading engineers to deliver modern, scalable products that make a measurable impact? Ready to shape engineering culture-mentoring managers, championing quality, and accelerating delivery through continuous improvement? About the Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the Role You will provide leadership, direction, and day to day management for software engineering teams (including offshore partners and interns), ensuring high quality delivery across the software development life cycle. Working closely with product, project, and engineering peers, you will drive technical excellence, remove delivery blockers, and report progress and risks to senior leadership while helping shape talent, resourcing, and delivery standards. Responsibilities Own delivery execution across multiple workstreams, ensuring predictable plans, clear milestones, and on time releases. Partner with product owners, project/program leaders, and principal engineers to align priorities, scope, and technical approach. Lead, coach, and develop software engineering teams and people managers to deliver against product and platform goals. Champion engineering best practices (code reviews, CI/CD, test driven development, secure coding) and drive continuous improvement. Ensure adherence to enterprise architecture, quality, and compliance standards through reviews and governance. Provide technical leadership and escalation support for complex design decisions, production issues, and critical defects. Manage resourcing and capacity planning, including offshore/third party partnerships and staffing models (managed services, staff augmentation). Track, communicate, and mitigate delivery risks, dependencies, and blockers; report status, outcomes, and metrics to senior leadership. Support talent acquisition and growth (interviewing, hiring, onboarding, training, feedback, performance development). Collaborate with stakeholders and end users to clarify requirements, validate solutions, and iterate based on feedback. Lead the evolution of teams as they transition towards AI assisted development. Requirements 10+ years of hands on software development experience delivering production systems. Solid project planning and delivery management skills (scope, schedule, budget), using common planning and tracking tools. Excellent communication and stakeholder management skills, including reporting to senior/executive audiences and collaborating with customers/end users. 3+ years of engineering management experience, including leading teams and setting technical direction. Demonstrated experience managing multiple teams and concurrent workstreams with competing priorities. Proven ability to manage managers and build healthy team culture, accountability, and performance. Strong database and data modeling expertise, including design, optimization, and best practices. Strong proficiency in modern development stacks (e.g., JavaScript/TypeScript, C#, .NET, Angular and/or React). Working knowledge of AI trends and practical ways AI can improve development and delivery outcomes. Demonstrable knowledge of using Claude / Codex / Copilot. Bachelor's degree in Engineering/Computer Science (or equivalent practical experience). We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Staff Software Engineer to join our AeroParker application development team to help drive our next phase of global growth. As a technical leader at this level, you possess a detailed understanding of organizational goals and will directly influence the technical strategy and direction of our e-commerce and pre-book mobility platform. You are a master of distributed systems who keeps a close eye on industry trends and competition, assessing new technologies that keep us ahead of the curve. The ideal candidate has a product-oriented mindset, an outstanding track record of scaling high-volume e-commerce platforms, and a deep commitment to technical excellence. You are highly adept at navigating both organizational and technical complexities across Metropolis, serving as a close collaborator with engineering managers to elevate team performance and drive high-impact initiatives from inception to delivery. What you'll do Drive the long-term technical direction, architecture, and strategy of the backend services powering the AeroParker pre-book parking and e-commerce platform Identify and eliminate systemic engineering bottlenecks, ensuring our distributed systems remain highly available, secure, and capable of handling massive consumer traffic across global airports Drive ideas from initial inception through technical specification to global delivery, seamlessly navigating both technical and non-technical challenges along the way Define the strategy and implementation standards for engineering craft across the org, balancing technical excellence with strategic business requirements Partner closely with engineering managers and cross functional leadership to avoid low quality technical or business decisions while improving the overall performance of the team Moderate critical technical discussions and work directly with global partners to align on priorities and build seamless API integrations Provide expert guidance and mentorship to senior engineers across the organization, dealing effectively with conflict and fostering a blameless culture that treats production issues as opportunities to improve Help scale the engineering ecosystem by actively participating in leadership recruiting efforts for senior engineers and engineering managers What we're looking for MS or BS in Computer Science or equivalent work experience with exceptionally strong fundamental computer science skills Extensive professional software engineering experience (typically matching or exceeding 6+ years), with advanced, expert level knowledge of Scala, Java, or related backend languages Design, build, and deliver large-scale distributed systems and microservices in high volume, consumer facing environments Utilize robust, hands on experience with event driven architectures, modern software design patterns, and highly available global systems Demonstrate a deep understanding of Agile engineering processes, including CI/CD pipelines, TDD/BDD, automated workflows, and rapid deployment cycles. Possess strong hands on experience with foundational database technologies, especially MySQL and PostgreSQL Apply excellent written and verbal communication skills, with a proven ability to present complex technical architecture clearly to cross functional stakeholders and influence company wide technical strategy Maintain experience or familiarity with additional ecosystem components including TypeScript, React, Snowflake, AWS, Git, GitHub, Copilot on GitHub, and Datadog While not required, these are a plus: Leverage hands on experience with container technologies and "infrastructure as code" (IaC) techniques Bring previous domain experience working deeply with complex third party API integrations or e commerce platforms Maintain a proactive interest or active curiosity in leveraging emerging AI technologies to enhance developer productivity or consumer experiences Operate effectively in innovative, fast paced, high growth SaaS environments Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 2-3 Days in Office: Metropolis values in person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office first model, which requires employees to be on site at least 2 3 days per week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is £35,000 - £40,000 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short term and long term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
09/07/2026
Full time
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Staff Software Engineer to join our AeroParker application development team to help drive our next phase of global growth. As a technical leader at this level, you possess a detailed understanding of organizational goals and will directly influence the technical strategy and direction of our e-commerce and pre-book mobility platform. You are a master of distributed systems who keeps a close eye on industry trends and competition, assessing new technologies that keep us ahead of the curve. The ideal candidate has a product-oriented mindset, an outstanding track record of scaling high-volume e-commerce platforms, and a deep commitment to technical excellence. You are highly adept at navigating both organizational and technical complexities across Metropolis, serving as a close collaborator with engineering managers to elevate team performance and drive high-impact initiatives from inception to delivery. What you'll do Drive the long-term technical direction, architecture, and strategy of the backend services powering the AeroParker pre-book parking and e-commerce platform Identify and eliminate systemic engineering bottlenecks, ensuring our distributed systems remain highly available, secure, and capable of handling massive consumer traffic across global airports Drive ideas from initial inception through technical specification to global delivery, seamlessly navigating both technical and non-technical challenges along the way Define the strategy and implementation standards for engineering craft across the org, balancing technical excellence with strategic business requirements Partner closely with engineering managers and cross functional leadership to avoid low quality technical or business decisions while improving the overall performance of the team Moderate critical technical discussions and work directly with global partners to align on priorities and build seamless API integrations Provide expert guidance and mentorship to senior engineers across the organization, dealing effectively with conflict and fostering a blameless culture that treats production issues as opportunities to improve Help scale the engineering ecosystem by actively participating in leadership recruiting efforts for senior engineers and engineering managers What we're looking for MS or BS in Computer Science or equivalent work experience with exceptionally strong fundamental computer science skills Extensive professional software engineering experience (typically matching or exceeding 6+ years), with advanced, expert level knowledge of Scala, Java, or related backend languages Design, build, and deliver large-scale distributed systems and microservices in high volume, consumer facing environments Utilize robust, hands on experience with event driven architectures, modern software design patterns, and highly available global systems Demonstrate a deep understanding of Agile engineering processes, including CI/CD pipelines, TDD/BDD, automated workflows, and rapid deployment cycles. Possess strong hands on experience with foundational database technologies, especially MySQL and PostgreSQL Apply excellent written and verbal communication skills, with a proven ability to present complex technical architecture clearly to cross functional stakeholders and influence company wide technical strategy Maintain experience or familiarity with additional ecosystem components including TypeScript, React, Snowflake, AWS, Git, GitHub, Copilot on GitHub, and Datadog While not required, these are a plus: Leverage hands on experience with container technologies and "infrastructure as code" (IaC) techniques Bring previous domain experience working deeply with complex third party API integrations or e commerce platforms Maintain a proactive interest or active curiosity in leveraging emerging AI technologies to enhance developer productivity or consumer experiences Operate effectively in innovative, fast paced, high growth SaaS environments Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 2-3 Days in Office: Metropolis values in person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office first model, which requires employees to be on site at least 2 3 days per week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is £35,000 - £40,000 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short term and long term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
ABOUT RETOOL Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows. At Retool, we're building the first enterprise AppGen platform: software that transforms natural language into production ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software-and who gets to build it. The definition of "developer" now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components. Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for. Let's build the future together! ABOUT THE ROLE Retool's Solutions Architects help our customers harness the full power of Retool - whether it is a focused Quickstart engagement to help a new customer get started, or a year long engagement where you guide technical teams to manage hundreds of production applications. You will directly drive value for our customers by addressing their most challenging technical problems and increasing the capacity and velocity for building solutions with our platform. Our Professional Services team members are billable, and working directly with customers and system integration partners to scale the impact of our products. This is a hands on role, and includes building Retool applications, integrating our platform into the customers stack, and advising on end to end solutions. In addition to working directly with our customers, this role advises our system integration partners on best practices and provides delivery oversight to our highest visibility engagements. This role will help shape the service offerings that we go to market with and build the operational processes to scale the PS function at Retool. IN THIS ROLE, YOU'LL Advise and implement full stack solutions using Retool Help our partners deliver best in class services to our customers, allowing us to efficiently scale the impact of our product Develop new service offerings based on customer / market need Assist with scoping, estimating, and selling professional services engagements Be a thought partner to Retool customers to help them build out complex internal tools for new teams and use cases Assist with partner enablement and certification Serve as a trusted advisor to our customers Identify and lead internal strategic initiatives to grow the consulting practice; serving as an active contributor to the community's overall knowledge base and expertise Work collaboratively and have very strong communications skills, especially in teaching complex concepts, and creative, prescriptive thinking Identify and proactively manage risk areas and commit to seeing an issue through to complete resolution Manage customer expectations; negotiate solutions to complex problems with both the customer and third party partners THE SKILLSET YOU'LL BRING 5+ years in technical, customer facing roles such as Solutions Architect, Customer Engineer, or Deployed Engineer Hands on experience with full stack development, including SQL, JavaScript, APIs, and Python Experience designing scalable cloud architectures and integrating enterprise systems Passion for leveraging technology to solve business problems creatively, ensuring scalable and efficient solutions Exceptional technical communication skills, translating customer requirements between business and technical teams to drive successful implementations Ability to think on your feet, troubleshoot issues, and provide real time solutions during technical discussions Comfortable with open ended problem solving in unstructured environments Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page! Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.
09/07/2026
Full time
ABOUT RETOOL Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows. At Retool, we're building the first enterprise AppGen platform: software that transforms natural language into production ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software-and who gets to build it. The definition of "developer" now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components. Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for. Let's build the future together! ABOUT THE ROLE Retool's Solutions Architects help our customers harness the full power of Retool - whether it is a focused Quickstart engagement to help a new customer get started, or a year long engagement where you guide technical teams to manage hundreds of production applications. You will directly drive value for our customers by addressing their most challenging technical problems and increasing the capacity and velocity for building solutions with our platform. Our Professional Services team members are billable, and working directly with customers and system integration partners to scale the impact of our products. This is a hands on role, and includes building Retool applications, integrating our platform into the customers stack, and advising on end to end solutions. In addition to working directly with our customers, this role advises our system integration partners on best practices and provides delivery oversight to our highest visibility engagements. This role will help shape the service offerings that we go to market with and build the operational processes to scale the PS function at Retool. IN THIS ROLE, YOU'LL Advise and implement full stack solutions using Retool Help our partners deliver best in class services to our customers, allowing us to efficiently scale the impact of our product Develop new service offerings based on customer / market need Assist with scoping, estimating, and selling professional services engagements Be a thought partner to Retool customers to help them build out complex internal tools for new teams and use cases Assist with partner enablement and certification Serve as a trusted advisor to our customers Identify and lead internal strategic initiatives to grow the consulting practice; serving as an active contributor to the community's overall knowledge base and expertise Work collaboratively and have very strong communications skills, especially in teaching complex concepts, and creative, prescriptive thinking Identify and proactively manage risk areas and commit to seeing an issue through to complete resolution Manage customer expectations; negotiate solutions to complex problems with both the customer and third party partners THE SKILLSET YOU'LL BRING 5+ years in technical, customer facing roles such as Solutions Architect, Customer Engineer, or Deployed Engineer Hands on experience with full stack development, including SQL, JavaScript, APIs, and Python Experience designing scalable cloud architectures and integrating enterprise systems Passion for leveraging technology to solve business problems creatively, ensuring scalable and efficient solutions Exceptional technical communication skills, translating customer requirements between business and technical teams to drive successful implementations Ability to think on your feet, troubleshoot issues, and provide real time solutions during technical discussions Comfortable with open ended problem solving in unstructured environments Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page! Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.
Key responsibilities Design and build scalable, production grade web applications. Contribute to system architecture and technical design decisions. Develop high quality, maintainable React applications using TypeScript. Build and evolve APIs and services using .NET. Participate actively in technical discussions and architectural trade offs. Conduct code reviews and uphold engineering quality standards. Collaborate closely with product, commercial, and support teams. Troubleshoot and resolve production issues across the stack. Support and mentor mid level engineers. Required experience Core experience 5-8 years of commercial software engineering experience. Demonstrated experience operating as a Senior Engineer in a production environment. Evidence of ownership beyond individual tasks (features, services, or systems). Frontend (important) Strong commercial experience with React and TypeScript (typically 3+ years). Proven experience building production grade, scalable UI applications. Solid understanding of: Component architecture and reuse. State management approaches. Performance optimisation in real world applications. Candidates whose primary experience is in Angular or other frameworks, with only limited React exposure, are unlikely to be a fit. Solid, hands on experience with .NET / .NET Core. Experience building and maintaining APIs and service based architectures. Good understanding of: Performance considerations. Reliability in production systems. Experience working on e commerce, marketplace, or transactional systems is strongly preferred. Candidates without direct e commerce experience should demonstrate experience with complex user facing platforms and systems that involve transactions or business critical workflows. Experience working with Azure or comparable cloud platforms. Familiarity with CI/CD pipelines and Docker or containerised environments. Exposure to monitoring and observability tools. What we're looking for A strong hands on engineer who takes ownership and delivers reliably. A pragmatic problem solver who balances quality, speed, and business needs. Someone who contributes beyond code through ideas, improvements, and collaboration. A supportive mentor who helps others grow without needing to be a formal manager. Desirable (not required) Experience with high scale or high traffic systems. Exposure to microservices architectures. Experience in payments, pricing, or order management domains. Experience with Kubernetes or cloud native patterns. What this role is not Not a junior or mid level position. Not a frontend only or backend only role. Not a Staff / Principal level ownership role. What we offer Opportunity to work on a commercially critical platform. A collaborative, pragmatic engineering environment. Exposure to modern technologies and evolving architecture. Real opportunity to influence how systems are built and improved. We're particularly interested in candidates who can clearly articulate: Systems they've built and their specific contribution. Technical decisions they've contributed to and why. How they've handled real world production issues. Examples of ownership, improvement, or mentoring.
09/07/2026
Full time
Key responsibilities Design and build scalable, production grade web applications. Contribute to system architecture and technical design decisions. Develop high quality, maintainable React applications using TypeScript. Build and evolve APIs and services using .NET. Participate actively in technical discussions and architectural trade offs. Conduct code reviews and uphold engineering quality standards. Collaborate closely with product, commercial, and support teams. Troubleshoot and resolve production issues across the stack. Support and mentor mid level engineers. Required experience Core experience 5-8 years of commercial software engineering experience. Demonstrated experience operating as a Senior Engineer in a production environment. Evidence of ownership beyond individual tasks (features, services, or systems). Frontend (important) Strong commercial experience with React and TypeScript (typically 3+ years). Proven experience building production grade, scalable UI applications. Solid understanding of: Component architecture and reuse. State management approaches. Performance optimisation in real world applications. Candidates whose primary experience is in Angular or other frameworks, with only limited React exposure, are unlikely to be a fit. Solid, hands on experience with .NET / .NET Core. Experience building and maintaining APIs and service based architectures. Good understanding of: Performance considerations. Reliability in production systems. Experience working on e commerce, marketplace, or transactional systems is strongly preferred. Candidates without direct e commerce experience should demonstrate experience with complex user facing platforms and systems that involve transactions or business critical workflows. Experience working with Azure or comparable cloud platforms. Familiarity with CI/CD pipelines and Docker or containerised environments. Exposure to monitoring and observability tools. What we're looking for A strong hands on engineer who takes ownership and delivers reliably. A pragmatic problem solver who balances quality, speed, and business needs. Someone who contributes beyond code through ideas, improvements, and collaboration. A supportive mentor who helps others grow without needing to be a formal manager. Desirable (not required) Experience with high scale or high traffic systems. Exposure to microservices architectures. Experience in payments, pricing, or order management domains. Experience with Kubernetes or cloud native patterns. What this role is not Not a junior or mid level position. Not a frontend only or backend only role. Not a Staff / Principal level ownership role. What we offer Opportunity to work on a commercially critical platform. A collaborative, pragmatic engineering environment. Exposure to modern technologies and evolving architecture. Real opportunity to influence how systems are built and improved. We're particularly interested in candidates who can clearly articulate: Systems they've built and their specific contribution. Technical decisions they've contributed to and why. How they've handled real world production issues. Examples of ownership, improvement, or mentoring.
Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management. Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands on, build focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi agent systems, retrieval augmented generation pipelines, anomaly detection, fine tuned models, and the real time inference layer that serves them. If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat. What you will own Building and shipping generative AI features end to end: from model selection and fine tuning through to the inference path that serves them. Designing multi agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost aware at scale. Owning the real time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency. Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability. Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you. Partnering with research and product teams to take ideas from experiment to a service customers depend on. 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others. Strong, current Python engineering, with production services built and shipped (FastAPI or similar). Genuine hands on GenAI depth: LLMs, RAG, agentic or multi agent workflows, anomaly detection, and fine tuning (for example LoRA or PEFT). Real time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost. A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability. Solid grounding in Docker and Kubernetes, and large scale distributed systems on a major cloud. Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity. Nice to have Experience with vLLM or other serving frameworks alongside Triton and TensorRT. Experience in security, networking, or other high reliability domains. Big data tooling (Spark, Databricks, Snowflake) and modern MLOps practice. What you will get A genuine build mandate inside an established AI Core team, not a proof of concept that never ships. Fully remote working anywhere in the UK, built around delivery rather than presence. Competitive salary, strong benefits, and clear scope to grow into staff and principal level influence. The backing of C Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end. Full support from C Serv across the hiring process and beyond, with full cycle accountability. A values led, woman owned delivery partner built on empathy, integrity, collaboration, and growth.
09/07/2026
Full time
Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management. Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands on, build focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi agent systems, retrieval augmented generation pipelines, anomaly detection, fine tuned models, and the real time inference layer that serves them. If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat. What you will own Building and shipping generative AI features end to end: from model selection and fine tuning through to the inference path that serves them. Designing multi agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost aware at scale. Owning the real time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency. Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability. Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you. Partnering with research and product teams to take ideas from experiment to a service customers depend on. 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others. Strong, current Python engineering, with production services built and shipped (FastAPI or similar). Genuine hands on GenAI depth: LLMs, RAG, agentic or multi agent workflows, anomaly detection, and fine tuning (for example LoRA or PEFT). Real time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost. A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability. Solid grounding in Docker and Kubernetes, and large scale distributed systems on a major cloud. Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity. Nice to have Experience with vLLM or other serving frameworks alongside Triton and TensorRT. Experience in security, networking, or other high reliability domains. Big data tooling (Spark, Databricks, Snowflake) and modern MLOps practice. What you will get A genuine build mandate inside an established AI Core team, not a proof of concept that never ships. Fully remote working anywhere in the UK, built around delivery rather than presence. Competitive salary, strong benefits, and clear scope to grow into staff and principal level influence. The backing of C Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end. Full support from C Serv across the hiring process and beyond, with full cycle accountability. A values led, woman owned delivery partner built on empathy, integrity, collaboration, and growth.
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
09/07/2026
Full time
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
09/07/2026
Full time
Principal Java Engineer - Backend Platform Salary: £76,340 - £100,340 Per Annum Contract: Full-Time, Permanent Location: Hybrid - minimum 2 days per week in office, Basingstoke/London/Bristol About the Role The Principal Software Engineer (Full-Stack, Backend-leaning) is a senior engineer responsible for the backend architecture, data pipelines, and API layer of a new sports technology product, while remaining capable of contributing to frontend development as needed. This role sits within a small, fast-moving product engineering team and requires someone comfortable owning end-to-end technical delivery across the stack, with backend and data work as the primary focus. What You'll Build You will be a core contributor to a new backend platform being built from scratch. The work spans the full data journey - from ingestion at the edge through to storage, transformation, and delivery to end users. Key areas of focus include: Low-latency data pipelines that ingest and process live sports tracking data, with strict latency requirements for time-critical outputs delivered to coaches and analysts in near real-time. Event-driven processing using Kafka for streaming data and control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing tasks. Data transformation and aggregation layers that normalise tracking outputs, store them in a data lake, and make them available to downstream consumers via clean API contracts. REST and WebSocket APIs that serve both a live data product for immediate consumption and an insights portal for historical analysis and performance comparison. Observability and reliability - instrumentation, logging, and tracing are built in from the start, not bolted on. The platform needs to run 24/7 without on-site support. Key Responsibilities Design and build backend services and APIs (REST/WebSocket) supporting data ingestion, transformation, and delivery to frontend and downstream consumers, with particular attention to latency and throughput given real-time processing requirements. Own data storage and pipeline architecture, including integration with streaming/event infrastructure. Implement authentication and authorisation in line with the team's chosen cloud identity and access management approach. Provide technical direction and review for frontend development (React/TypeScript), working closely with frontend engineers to align on approach, component contracts, and data shapes - this is a collaboration and oversight function rather than day-to-day frontend delivery. Collaborate closely with computer vision/data science engineers to define and consume data contracts. Participate in technical decision-making for a product in active development, including architecture choices with long-term implications for scale, latency, and maintainability. Contribute to technical leadership of the wider engineering team, given the seniority of this role. Skills and Experience Strong backend engineering background with production experience in Java (required). Demonstrated experience building low-latency, high-throughput systems - this is a core requirement, not a nice-to-have. Working knowledge of a modern frontend framework such as React/TypeScript, sufficient to review and direct frontend work rather than deliver it independently. Experience with cloud infrastructure and event-driven architectures (e.g. Kafka or equivalent streaming technology). Experience designing and evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct engineers outside their own core discipline. Comfortable with ambiguity: this is a build-phase product with evolving scope and infrastructure decisions still being finalised. Benefits and Perks 25 days annual leave (excluding bank holidays) Enhanced pension scheme with 5% matching Hybrid working model Complimentary Unmind wellbeing app Onsite gym (Basingstoke) Access to sporting events and tickets Sony Group Company discounts Equal Opportunity Employer Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership. We value diversity and strive to create an environment where everyone can reach their full potential. Apply Today If you are passionate about building high-performance backend systems and want to work on real-time data products at scale, we would love to hear from you.
Works With: Engineering Leadership, Product Managers, Designers, Software Engineers Hours: 37.5 pw (9.30-6pm Monday to Friday, 1 hour lunch) Term: Permanent Location: Hybrid - London office based in Oval (2 days / week) About us Artlogic is a leading technology platform for the art world. Founded in 1989, Artlogic empowers over 6,000 galleries, dealers, and art professionals worldwide to streamline their operations and grow their businesses. The company's integrated platform combines inventory management, CRM, websites, sales, marketing, and payment tools, everything needed to run a modern and successful art business. In 2021, Artlogic was acquired by tech investors Cove Hill Partners to accelerate innovation and expand its global reach. Since then, the company has doubled in size, with employees across London, New York, Atlanta, and Cape Town. Today, Artlogic is entering an exciting new chapter through its merger with ArtCloud, another industry leader in art technology. Together, the two companies are uniting complementary platforms to build the most comprehensive, forward thinking solution for the art world. This collaboration brings together deep expertise across CRM, sales, marketing, inventory, payments, and AI powered tools, empowering galleries, artists, and collectors worldwide. Joining Artlogic means becoming part of a growing global team that is shaping the future of how art is bought, sold, and managed, both online and in person. Our technology team comprises over 50 people across Product, UX and Engineering working in cross functional teams geographically distributed principally between the UK and Brazil with a technical operations team in the UK and South Africa. At present, our technology stack comprises a combination of Python, Typescript, C# in Azure, GCP and AWS cloud environments. About the role We are seeking a pragmatic, impact driven AI Native Senior Software Engineer to help evolve and extend our platform while guiding technical direction and supporting team development. This role centres on solving real world problems for art professionals, making thoughtful technical decisions that balance business impact with engineering trade offs. You will work closely with Product Managers, Designers, and engineers to take ideas from inception through to production, ensuring we build the right solutions for our customers. You will act as both a senior technical contributor and a product minded engineer, someone who doesn't just implement requirements but actively shapes them. You will challenge assumptions, ask the right questions, and help ensure we are solving meaningful problems in the most effective way. You will contribute to technical strategy by identifying opportunities to improve system reliability, performance, and user experience within our current architecture, while also supporting the evolution of our strategic platform. This role will play a key part in driving the adoption of AI across engineering, leveraging emerging technologies and embedding AI native workflows to improve how we design, build, and deliver software. This role is predominantly hands on, with around 20-30% of time on technical leadership: architecture, mentoring, and shaping how the team works. Key Responsibilities Help the team move faster by adopting AI native workflows and the shift to an agentic development lifecycle, without compromising the architectural qualities that make our platform reliable, scalable, and maintainable over the long term. Define guardrails, review practices, and validation gates that hold AI generated code to our standards for security, reliability, and cost efficiency (FinOps). These are first class concerns in agentic pipelines, not after thoughts. Design, build, and operate software across our platform, applying the same rigour to AI augmented work as to anything else you ship. Embed deeply with Product and Design from the earliest stages of discovery, using rapid prototyping and iteration to compress the gap between idea and validated solution. Own complex features and ambiguous technical problems end to end, leveraging AI tooling to increase throughput without sacrificing engineering rigour. Serve as a critical technical voice, stress testing AI generated solutions, surfacing second order risks, and ensuring the team builds the right thing, not just the fast thing. Shape platform architecture with an architectural lens, contributing to long term decisions about how AI tooling, LLM integrations, and human in the loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability and analysis to find signals in noisy systems. Navigate confidently across legacy and greenfield contexts, applying AI tooling pragmatically to modernise where it matters most. Set the engineering standard, demonstrating through your own work what excellent looks like when much of the code is AI generated. Grow the team's capability and confidence with AI native practices, coaching more junior engineers to think critically about model outputs, prompt design, and the boundaries of automation. Define and evolve best practices for code quality, testing, documentation, and delivery in a world where much of the first draft is AI generated. Evolve CI/CD pipelines to incorporate agentic workflows, automated testing, AI assisted code review, and intelligent deployment gates. Champion secure by design principles across both human written and AI generated code, embedding security validation into the development pipeline rather than treating it as an afterthought. Own system observability and reliability, moving from reactive alerting to proactive, model assisted incident prevention. Participate in on call rotation, bringing the same rigour to incident response that you bring to day to day development. About you You're a hands on senior engineer with a product mindset and the judgement to know which trade offs matter. You care about business impact as much as engineering quality, and you've been building with AI tools long enough to know how to use them effectively. You'll likely bring Deep experience building scalable, secure, cloud based systems, giving you the foundation to confidently guide and validate agentic workflow outputs. Proven ability to work across both legacy and greenfield codebases, using modern tooling to improve reliability and evolve architecture pragmatically. Strong system design fundamentals across scalability, performance, and distributed systems, including API design (REST, GraphQL). Hands on experience with observability tooling (Datadog, Grafana, or similar) and a data informed approach to system health and reliability. Solid SQL and data management skills, with an appreciation for AI enabled, data driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker), and DevSecOps practices in modern AI development environments. A pragmatic approach to testing, knowing what to cover, what to skip, and how to use AI to improve efficiency. Experience mentoring engineers and supporting the adoption of modern tools and AI native workflows. Strong communication skills and the ability to articulate technical decisions and trade offs clearly. You'll stand out if you Ask "what problem are we solving and why?" before reaching for a solution. Act as a genuine partner to Product and Design, shaping the problem, not just delivering against a spec. Balance technical debt and feature delivery with long term business value in mind. Make confident decisions with incomplete information and thrive in fast moving, evolving environments. Bring curiosity and hands on experience with agentic workflows, using them to raise the bar for engineering. Performance Indicators Delivery of high quality, reliable solutions that drive measurable customer and business value. Meaningful contribution to the evolution of the strategic platform and overall technical direction. Improved technical decision making, engineering standards, and team capability. Effective mentorship and development of engineers within the team. Strong partnership with Product and Design, resulting in well shaped, high impact solutions. Improvements in system performance, reliability, and maintainability. Consistent adoption of engineering best practices and processes. What we offer Company profit sharing scheme 25 days annual leave (plus 10 public holiday days) Long service entitlement Cycle to work scheme Tech buying scheme Free eye test Company pension scheme A focus on continued professional development including access to courses and training programs Artlogic is an equal opportunities employer Artlogic is an equal opportunities employer. We are committed to fair and inclusive recruitment and employment practices. We welcome applications from all suitably qualified candidates. We are committed to making reasonable adjustments for disabled applicants and employees. If you have a disability and would like us to make adjustments to the application or interview process, or to discuss any adjustments to the role, please let us know. . click apply for full job details
09/07/2026
Full time
Works With: Engineering Leadership, Product Managers, Designers, Software Engineers Hours: 37.5 pw (9.30-6pm Monday to Friday, 1 hour lunch) Term: Permanent Location: Hybrid - London office based in Oval (2 days / week) About us Artlogic is a leading technology platform for the art world. Founded in 1989, Artlogic empowers over 6,000 galleries, dealers, and art professionals worldwide to streamline their operations and grow their businesses. The company's integrated platform combines inventory management, CRM, websites, sales, marketing, and payment tools, everything needed to run a modern and successful art business. In 2021, Artlogic was acquired by tech investors Cove Hill Partners to accelerate innovation and expand its global reach. Since then, the company has doubled in size, with employees across London, New York, Atlanta, and Cape Town. Today, Artlogic is entering an exciting new chapter through its merger with ArtCloud, another industry leader in art technology. Together, the two companies are uniting complementary platforms to build the most comprehensive, forward thinking solution for the art world. This collaboration brings together deep expertise across CRM, sales, marketing, inventory, payments, and AI powered tools, empowering galleries, artists, and collectors worldwide. Joining Artlogic means becoming part of a growing global team that is shaping the future of how art is bought, sold, and managed, both online and in person. Our technology team comprises over 50 people across Product, UX and Engineering working in cross functional teams geographically distributed principally between the UK and Brazil with a technical operations team in the UK and South Africa. At present, our technology stack comprises a combination of Python, Typescript, C# in Azure, GCP and AWS cloud environments. About the role We are seeking a pragmatic, impact driven AI Native Senior Software Engineer to help evolve and extend our platform while guiding technical direction and supporting team development. This role centres on solving real world problems for art professionals, making thoughtful technical decisions that balance business impact with engineering trade offs. You will work closely with Product Managers, Designers, and engineers to take ideas from inception through to production, ensuring we build the right solutions for our customers. You will act as both a senior technical contributor and a product minded engineer, someone who doesn't just implement requirements but actively shapes them. You will challenge assumptions, ask the right questions, and help ensure we are solving meaningful problems in the most effective way. You will contribute to technical strategy by identifying opportunities to improve system reliability, performance, and user experience within our current architecture, while also supporting the evolution of our strategic platform. This role will play a key part in driving the adoption of AI across engineering, leveraging emerging technologies and embedding AI native workflows to improve how we design, build, and deliver software. This role is predominantly hands on, with around 20-30% of time on technical leadership: architecture, mentoring, and shaping how the team works. Key Responsibilities Help the team move faster by adopting AI native workflows and the shift to an agentic development lifecycle, without compromising the architectural qualities that make our platform reliable, scalable, and maintainable over the long term. Define guardrails, review practices, and validation gates that hold AI generated code to our standards for security, reliability, and cost efficiency (FinOps). These are first class concerns in agentic pipelines, not after thoughts. Design, build, and operate software across our platform, applying the same rigour to AI augmented work as to anything else you ship. Embed deeply with Product and Design from the earliest stages of discovery, using rapid prototyping and iteration to compress the gap between idea and validated solution. Own complex features and ambiguous technical problems end to end, leveraging AI tooling to increase throughput without sacrificing engineering rigour. Serve as a critical technical voice, stress testing AI generated solutions, surfacing second order risks, and ensuring the team builds the right thing, not just the fast thing. Shape platform architecture with an architectural lens, contributing to long term decisions about how AI tooling, LLM integrations, and human in the loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability and analysis to find signals in noisy systems. Navigate confidently across legacy and greenfield contexts, applying AI tooling pragmatically to modernise where it matters most. Set the engineering standard, demonstrating through your own work what excellent looks like when much of the code is AI generated. Grow the team's capability and confidence with AI native practices, coaching more junior engineers to think critically about model outputs, prompt design, and the boundaries of automation. Define and evolve best practices for code quality, testing, documentation, and delivery in a world where much of the first draft is AI generated. Evolve CI/CD pipelines to incorporate agentic workflows, automated testing, AI assisted code review, and intelligent deployment gates. Champion secure by design principles across both human written and AI generated code, embedding security validation into the development pipeline rather than treating it as an afterthought. Own system observability and reliability, moving from reactive alerting to proactive, model assisted incident prevention. Participate in on call rotation, bringing the same rigour to incident response that you bring to day to day development. About you You're a hands on senior engineer with a product mindset and the judgement to know which trade offs matter. You care about business impact as much as engineering quality, and you've been building with AI tools long enough to know how to use them effectively. You'll likely bring Deep experience building scalable, secure, cloud based systems, giving you the foundation to confidently guide and validate agentic workflow outputs. Proven ability to work across both legacy and greenfield codebases, using modern tooling to improve reliability and evolve architecture pragmatically. Strong system design fundamentals across scalability, performance, and distributed systems, including API design (REST, GraphQL). Hands on experience with observability tooling (Datadog, Grafana, or similar) and a data informed approach to system health and reliability. Solid SQL and data management skills, with an appreciation for AI enabled, data driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker), and DevSecOps practices in modern AI development environments. A pragmatic approach to testing, knowing what to cover, what to skip, and how to use AI to improve efficiency. Experience mentoring engineers and supporting the adoption of modern tools and AI native workflows. Strong communication skills and the ability to articulate technical decisions and trade offs clearly. You'll stand out if you Ask "what problem are we solving and why?" before reaching for a solution. Act as a genuine partner to Product and Design, shaping the problem, not just delivering against a spec. Balance technical debt and feature delivery with long term business value in mind. Make confident decisions with incomplete information and thrive in fast moving, evolving environments. Bring curiosity and hands on experience with agentic workflows, using them to raise the bar for engineering. Performance Indicators Delivery of high quality, reliable solutions that drive measurable customer and business value. Meaningful contribution to the evolution of the strategic platform and overall technical direction. Improved technical decision making, engineering standards, and team capability. Effective mentorship and development of engineers within the team. Strong partnership with Product and Design, resulting in well shaped, high impact solutions. Improvements in system performance, reliability, and maintainability. Consistent adoption of engineering best practices and processes. What we offer Company profit sharing scheme 25 days annual leave (plus 10 public holiday days) Long service entitlement Cycle to work scheme Tech buying scheme Free eye test Company pension scheme A focus on continued professional development including access to courses and training programs Artlogic is an equal opportunities employer Artlogic is an equal opportunities employer. We are committed to fair and inclusive recruitment and employment practices. We welcome applications from all suitably qualified candidates. We are committed to making reasonable adjustments for disabled applicants and employees. If you have a disability and would like us to make adjustments to the application or interview process, or to discuss any adjustments to the role, please let us know. . click apply for full job details
Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management. Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands on, build focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi agent systems, retrieval augmented generation pipelines, anomaly detection, fine tuned models, and the real time inference layer that serves them. If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat. What you will own Building and shipping generative AI features end to end: from model selection and fine tuning through to the inference path that serves them. Designing multi agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost aware at scale. Owning the real time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency. Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability. Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you. Partnering with research and product teams to take ideas from experiment to a service customers depend on. 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others. Strong, current Python engineering, with production services built and shipped (FastAPI or similar). Genuine hands on GenAI depth: LLMs, RAG, agentic or multi agent workflows, anomaly detection, and fine tuning (for example LoRA or PEFT). Real time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost. A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability. Solid grounding in Docker and Kubernetes, and large scale distributed systems on a major cloud. Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity. Nice to have Experience with vLLM or other serving frameworks alongside Triton and TensorRT. Experience in security, networking, or other high reliability domains. Big data tooling (Spark, Databricks, Snowflake) and modern MLOps practice. What you will get A genuine build mandate inside an established AI Core team, not a proof of concept that never ships. Fully remote working anywhere in the UK, built around delivery rather than presence. Competitive salary, strong benefits, and clear scope to grow into staff and principal level influence. The backing of C Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end. Full support from C Serv across the hiring process and beyond, with full cycle accountability. A values led, woman owned delivery partner built on empathy, integrity, collaboration, and growth.
09/07/2026
Full time
Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management. Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands on, build focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi agent systems, retrieval augmented generation pipelines, anomaly detection, fine tuned models, and the real time inference layer that serves them. If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat. What you will own Building and shipping generative AI features end to end: from model selection and fine tuning through to the inference path that serves them. Designing multi agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost aware at scale. Owning the real time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency. Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability. Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you. Partnering with research and product teams to take ideas from experiment to a service customers depend on. 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others. Strong, current Python engineering, with production services built and shipped (FastAPI or similar). Genuine hands on GenAI depth: LLMs, RAG, agentic or multi agent workflows, anomaly detection, and fine tuning (for example LoRA or PEFT). Real time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost. A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability. Solid grounding in Docker and Kubernetes, and large scale distributed systems on a major cloud. Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity. Nice to have Experience with vLLM or other serving frameworks alongside Triton and TensorRT. Experience in security, networking, or other high reliability domains. Big data tooling (Spark, Databricks, Snowflake) and modern MLOps practice. What you will get A genuine build mandate inside an established AI Core team, not a proof of concept that never ships. Fully remote working anywhere in the UK, built around delivery rather than presence. Competitive salary, strong benefits, and clear scope to grow into staff and principal level influence. The backing of C Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end. Full support from C Serv across the hiring process and beyond, with full cycle accountability. A values led, woman owned delivery partner built on empathy, integrity, collaboration, and growth.
