Reward Gateway
Site Reliability Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Head of Site Reliability Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway, together with Edenred, are a global market leader in benefits and employee engagement. We help our clients and their leaders to transform employee experience that will attract, engage and retain top talent through employee benefits, strategic reward and recognition, well being, and much more. With our shared missions of 'Making the World a Better Place to Work' and 'Enriching connections, For good'. You'll be contributing to improving employee engagement and building better, stronger and more resilient organisations to improve people's daily lives. Our shared mission guides our every action and charts a sustainable path to a better future. We have a highly talented team who live up to our shared values, bringing to life "Entrepreneurial Spirit". We love to "Push the Boundaries", but importantly show "Respect" in how we go about our work. Our "Speak Up" and "Be Human" culture is at the heart of what it is to work with us, and we encourage everyone to bring innovation and 'Imagination' to the work they do. Your Role in our Mission: We are seeking a Site Reliability Engineer to help us transform our existing operational workloads to an SRE approach. You will embed with our Product Engineering teams to drive high availability, reliability, and uptime. In this role, you will use a code first approach to reduce toil, advance our observability platforms using SLIs/SLOs, and ensure high compliance. You will actively manage operational success by serving as a key Incident Commander, participating in the on call rotation, and balancing platform cost efficiency through agile collaboration. What's In It For Me? A chance to be part of an extremely well established, stable and high growth 'Unicorn' SaaS company with over 50 benefits in our employee benefits package, including: A flexible holiday plan of up to 40 days per year £400 a year Wellbeing Allowance Private Medical Insurance Allowance for professional development books, E books, and podcasts Contributory pension scheme Employee, friends and family discounts across 1200+ retail, hospitality and lifestyle brands Click here to see our full suite of benefits and perks dedicated to supporting all aspects of employee wellbeing! Flexible, Hybrid Working Collaboration, connection as a team, and strong internal relationships are part of the "RG Magic" that makes our culture thrive. Our teams work from our Dean Street office two days per week. What You'll be Doing: Integrating tightly with our Product Engineering teams Following SRE practices and maintaining high standards of compliance Implementing a new standard of observability utilising SLI/SLO/Error Budgets Continually evolving our observability platforms for greater coverage Using a code first approach to build and changes to reduce TOIL Advocating a strong focus on availability, reliability and uptime Liaising and embedding with the Engineering teams for the constant evolution of metrics Working towards planned roadmap goals Actively taking part in the daily stand ups and keeping sprints on track Keeping up to date documentation in the JIRA & Confluence tools Taking part in SRE Incident Management processes Acting as a key Incident Commander within the Incident Management process Taking part in SRE On Call Ensuring a focus on cost efficiency for the platforms & services Working with team members to foster collaboration and ongoing communication with stakeholders Experience and Skills You Need in this Role Proven experience in DevOps or SRE, with a keen interest in growing as a Site Reliability Engineer Experience with AWS or other cloud providers Enterprise experience in HA environments Automation skills through Terraform, Python, Bash or similar Wide reaching SRE skills and a deep understanding of SRE practices A strong understanding of SQL, PHP, Kubernetes, CI/CD Observability product experience (e.g., Datadog) Managing services using SLI/SLO & Error Budgets Ability to work both independently and as part of a team Ability to work under pressure and be highly reliable Adaptability and flexibility to change in a fast moving environment An ability to learn new tools and processes quickly and impart that knowledge The Interview Process Screening interview with the Talent Partner and Head of SRE Final interview with the Head of SRE and the Director of Infrastructure. At Reward Gateway Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work!
Site Reliability Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Head of Site Reliability Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway, together with Edenred, are a global market leader in benefits and employee engagement. We help our clients and their leaders to transform employee experience that will attract, engage and retain top talent through employee benefits, strategic reward and recognition, well being, and much more. With our shared missions of 'Making the World a Better Place to Work' and 'Enriching connections, For good'. You'll be contributing to improving employee engagement and building better, stronger and more resilient organisations to improve people's daily lives. Our shared mission guides our every action and charts a sustainable path to a better future. We have a highly talented team who live up to our shared values, bringing to life "Entrepreneurial Spirit". We love to "Push the Boundaries", but importantly show "Respect" in how we go about our work. Our "Speak Up" and "Be Human" culture is at the heart of what it is to work with us, and we encourage everyone to bring innovation and 'Imagination' to the work they do. Your Role in our Mission: We are seeking a Site Reliability Engineer to help us transform our existing operational workloads to an SRE approach. You will embed with our Product Engineering teams to drive high availability, reliability, and uptime. In this role, you will use a code first approach to reduce toil, advance our observability platforms using SLIs/SLOs, and ensure high compliance. You will actively manage operational success by serving as a key Incident Commander, participating in the on call rotation, and balancing platform cost efficiency through agile collaboration. What's In It For Me? A chance to be part of an extremely well established, stable and high growth 'Unicorn' SaaS company with over 50 benefits in our employee benefits package, including: A flexible holiday plan of up to 40 days per year £400 a year Wellbeing Allowance Private Medical Insurance Allowance for professional development books, E books, and podcasts Contributory pension scheme Employee, friends and family discounts across 1200+ retail, hospitality and lifestyle brands Click here to see our full suite of benefits and perks dedicated to supporting all aspects of employee wellbeing! Flexible, Hybrid Working Collaboration, connection as a team, and strong internal relationships are part of the "RG Magic" that makes our culture thrive. Our teams work from our Dean Street office two days per week. What You'll be Doing: Integrating tightly with our Product Engineering teams Following SRE practices and maintaining high standards of compliance Implementing a new standard of observability utilising SLI/SLO/Error Budgets Continually evolving our observability platforms for greater coverage Using a code first approach to build and changes to reduce TOIL Advocating a strong focus on availability, reliability and uptime Liaising and embedding with the Engineering teams for the constant evolution of metrics Working towards planned roadmap goals Actively taking part in the daily stand ups and keeping sprints on track Keeping up to date documentation in the JIRA & Confluence tools Taking part in SRE Incident Management processes Acting as a key Incident Commander within the Incident Management process Taking part in SRE On Call Ensuring a focus on cost efficiency for the platforms & services Working with team members to foster collaboration and ongoing communication with stakeholders Experience and Skills You Need in this Role Proven experience in DevOps or SRE, with a keen interest in growing as a Site Reliability Engineer Experience with AWS or other cloud providers Enterprise experience in HA environments Automation skills through Terraform, Python, Bash or similar Wide reaching SRE skills and a deep understanding of SRE practices A strong understanding of SQL, PHP, Kubernetes, CI/CD Observability product experience (e.g., Datadog) Managing services using SLI/SLO & Error Budgets Ability to work both independently and as part of a team Ability to work under pressure and be highly reliable Adaptability and flexibility to change in a fast moving environment An ability to learn new tools and processes quickly and impart that knowledge The Interview Process Screening interview with the Talent Partner and Head of SRE Final interview with the Head of SRE and the Director of Infrastructure. At Reward Gateway Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work!
Reward Gateway
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
