• consult with business stakeholders and other project members to mold the New Wave Group vision in to web based solutions to increase revenue & optimize internal productivity • design, build, and maintain ecommerce and internal web applications using React, backed by C# and Azure-hosted services • partner with business stakeholders and product owners to translate ecommerce requirements into scalable technical solutions • develop and maintain event-driven workflows using Azure Functions, Azure WebJobs, and service bus integrations to support B2C and B2B commerce operations • integrate with third-party platforms and APIs including payment processors, PIM systems, ERP systems, and CMS platforms • write, optimize, and maintain MSSQL queries, stored procedures, and data pipelines to support ecommerce reporting and operations • manage deployments, pipelines, and source control through Azure DevOps • create and maintain technical documentation covering architecture, integrations, and processes • participate in strategic planning discussions and contribute to architectural decisions

Role Description We are seeking a GraphQL Expert to design and implement scalable GraphQL APIs that power physician network growth, member engagement, and operational decision-making. You'll work on modern, mission-critical applications serving physicians, members, and internal stakeholders. You'll architect GraphQL solutions that enable efficient, flexible data access for web and mobile applications, collaborate across product and engineering teams, and establish best practices for API design and implementation across the organization. What You'll Do - Design and architect scalable GraphQL APIs that serve multiple frontend applications and third-party integrations - Implement GraphQL schemas, resolvers, and data loaders that optimize query performance and minimize over-fetching - Build backend services using Node.js and Nest.js that power GraphQL API endpoints - Mentor and guide other engineers on GraphQL best practices, schema design patterns, and performance optimization - Optimize GraphQL query execution, caching strategies, and subscription handling for production workloads - Collaborate with frontend engineers using React to ensure API design meets application needs - Conduct code reviews focused on GraphQL architecture, security, and performance - Work with cloud infrastructure (Azure/AWS) to deploy and monitor GraphQL services in production - Document GraphQL schemas, API patterns, and architectural decisions for team knowledge sharing - Evaluate and integrate GraphQL tooling, monitoring, and developer experience improvements How You'll Succeed - You design GraphQL schemas that are intuitive, performant, and serve multiple client needs - You communicate effectively about API design decisions and trade-offs with engineers and stakeholders - You take ownership of GraphQL infrastructure and establish standards that improve team velocity - You balance developer experience with performance and security considerations - You mentor teammates and help elevate GraphQL expertise across the organization - You stay current with GraphQL ecosystem tools and best practices Qualifications - Expert-level proficiency in GraphQL with hands-on experience in production applications - Deep understanding of GraphQL schema design, query optimization, and resolver patterns - Strong backend development experience with Node.js and Nest.js - Proficiency in JavaScript with production application experience - Solid understanding of relational and/or NoSQL databases - Experience with GraphQL tooling (Apollo Server, Apollo Client, GraphQL Federation, or similar) - Experience implementing subscriptions, mutations, and complex query patterns - Solid understanding of REST API design principles and when to use GraphQL vs REST - Experience with version control systems (Git) and CI/CD pipelines - Excellent problem-solving skills and attention to detail - Strong communication and mentoring skills - Experience working in Agile/iterative development environments Preferred Qualifications - Experience with GraphQL Federation or schema stitching - Knowledge of advanced GraphQL patterns (batching, caching, authentication, authorization) - Experience optimizing GraphQL performance at scale - Familiarity with React and frontend GraphQL client usage - Experience with cloud platforms (Azure or AWS) - Knowledge of healthcare, medical, or mission-driven industry applications - Experience with containerization (Docker) or Kubernetes - Exposure to performance monitoring and observability tools - Experience with GraphQL security best practices Tech Stack - API Layer: GraphQL - Backend: Node.js, Nest.js - Frontend: JavaScript, React - Databases: SQL/NoSQL (MongoDB, PostgreSQL, etc.) - GraphQL Tools: Apollo Server, Apollo Client, GraphQL Federation, or similar - Version Control: Git - Cloud Platform: Azure or AWS - Testing: Jest, Apollo Testing Library, or similar

Role Description This is a significant new role. We are building a product engineering capability that did not previously exist at Cambridge Spark: engineers who own business outcomes, not just feature backlogs, and who work directly with stakeholders to understand problems rather than waiting for specifications to arrive. As a Senior Software Engineer, you will be a founding member of our Learner Experience pod: a small, autonomous team responsible for the quality, usability, and impact of EDUKATE.ai for the people learning through it. You will work across the full stack, from understanding what learners and curriculum teams actually need, through to shipping and iterating on the solutions you help shape. You will be a multiplier for the engineers around you: raising the bar on how the team thinks about problems, not just how it solves them. This role reports to the Head of Engineering. You will carry seniority in a team that we’re deliberately rebuilding around product ownership and outcome focus. Key Responsibilities - Own end-to-end delivery within the Learner Experience pod: from discovery and problem framing through to production, iteration, and outcome measurement. - Work directly with internal stakeholders — curriculum, operations, delivery — to understand problems at their root, not just their surface symptoms. - Shape solutions collaboratively: contribute to proposals, decision records, and discovery conversations, not just pull requests. - Bring an AI-first approach to your work: use AI tooling actively in prototyping, agentic coding, and accelerating delivery — and help the wider team develop the same habits. - Hold a high engineering standard across the pod: TDD, code review discipline, and a genuine commitment to quality are non-negotiable here. - Coach and support less experienced engineers in the pod, sharing your experience of what good looks like in a product engineering context. - Contribute to the evolution of our engineering practices as the pod model matures. Qualifications - Front-end expertise, including UX design: we want to make our product delight customers. - Comfort owning the full delivery lifecycle: problem framing, solution design, production, and iteration. - Strong engineering fundamentals: test-driven development, code review culture, and a demonstrable commitment to quality. - Active engagement with AI-assisted development: prototyping, agentic coding, and using AI tooling as an accelerant rather than a novelty. - Experience with edtech, regulated industries, or other complex domains is a plus; the ability to absorb a new domain quickly is essential. - Professional experience in our stack (React / Vue) is a bonus, but not essential. - Back-end engineering knowledge is a nice-to-have for this role. Requirements - Demonstrated experience working directly with non-technical stakeholders to shape requirements — through product engineering, professional services, client-facing delivery, or similar. - Strong written communication: you can write a clear proposal, a concise technical decision record, or a stakeholder update that lands without needing translation. - Comfortable running or contributing to discovery conversations, not just delivering code once the brief is written. Ways of Working - Outcome ownership over feature delivery. - You question whether the proposed solution is the right one, not just whether you can build it. - Comfortable with ambiguity. - Small pods mean limited process overhead. You make good decisions with incomplete information and know when to escalate versus when to proceed. - AI-first mindset: you are not just curious about AI; you actively use it, prototype with it, and bring that practice into the team around you. - Collaboration without ego: you care about the outcome more than the credit. You build trust through competence and consistency, not volume. - Communicative: you surface problems early, document your thinking, and keep stakeholders appropriately informed without being prompted. What This Role Is Not - It is not a ticket-completion role: if you want a well-defined backlog and a clear brief every sprint, this probably is not the right fit. - It is not a people management role: you will not have direct reports, though you will be a senior presence in the pod and expected to act like one. - It is not a big-company environment: we are a bootstrapped edtech business; you will need to be comfortable with resource constraints and a degree of ambiguity about what comes next. Why This Role - A genuine opportunity to shape how product engineering works at Cambridge Spark, not just execute a predetermined roadmap. - Direct access to and influence with senior leadership, including the Head of Engineering and CEO. - Work that matters: our platform supports thousands of learners across data and AI apprenticeships, and the quality of what you build has a real and traceable impact on their experience and careers. - An AI-serious engineering culture: we are an AI company and expect our engineering practice to reflect that, including giving you time and space to experiment. - A stable, values-driven business with a social impact mission in education and skills. Benefits - Pension with 4% matched contributions, opportunity to opt into salary sacrifice scheme. - 25 days holiday + Flexi bank holidays + 1 day off on your birthday. - A day for volunteering. - Enhanced Maternity and Paternity Leave. - Health & Wellbeing allowance of up to £30 per month. - Annual Summer and Xmas events. - Company socials including everything from Cambridge College formals, pub nights to team building events. - CPD Allowance alongside quarterly reflections to ring fence time for development and growth. - Private medical insurance and cash plan. - Holiday buy back scheme (up to 10 days p/a). - Employee Assistance Programme with a dedicated company counsellor. Company Description We are an education technology company that enables corporate and government organisations to achieve their business goals by educating their workforce with critical digital transformation skills to succeed in the AI era. We deliver unique and innovative professional education that is accelerating the digital transformation of our clients, advancing the careers of their employees, helping people get into work and closing the digital skills gap. We are at the cutting edge of teaching applied data and digital skills, with our unique patented learning platform EDUKATE.AI offering our clients and learners a unique learning experience.

• Technical and disciplinary responsibility for a client project, e.g., taking over an existing GIS project in the public sector or introducing React at a large manufacturing company • Develop and implement a viable architecture, refactoring, or migration strategy in coordination with the client and the team • Technical leadership of the project team, including task prioritization and coaching on modern frontend technologies • Primary point of contact for the client — ensure transparent communication and act as the first contact for technical and organizational questions • Implement functional requirements from analysis through quality assurance and develop proofs of concept to evaluate new technologies • Ensure code quality and technical sustainability through pairing/mob programming, active contribution to agile processes (Scrum), and continuous knowledge sharing, including mentoring