Smart Working

• Develop and maintain scalable applications using NodeJS, TypeScript, MongoDB, Docker, and related technologies • Contribute hands-on across the full software development lifecycle, from design through deployment and support • Collaborate closely with developers, designers, QA, and product stakeholders to deliver high-quality product features and enhancements • Participate actively in Agile ceremonies, including sprint planning, standups, retrospectives, and estimation sessions • Review technical designs, requirements, and specifications to provide constructive feedback and ensure engineering quality • Identify technical risks, dependencies, and architectural considerations early in the development process • Drive engineering best practices across CI/CD, testing, observability, security, and code quality • Contribute to architectural strategy and support scalable, maintainable system design decisions • Build and support real-time, event-driven, and data-intensive platform capabilities • Participate in an on-call support rota and contribute to incident resolution and operational stability • Collaborate across business and technical teams to align engineering delivery with commercial and customer objectives • Promote knowledge sharing, documentation, and continuous improvement across the engineering organisation • Leverage AI-assisted development tools to improve engineering productivity and delivery efficiency

• Develop and maintain scalable applications using NodeJS, TypeScript, MongoDB, Docker, and related technologies • Contribute hands-on across the full software development lifecycle, from design through deployment and support • Collaborate closely with developers, designers, QA, and product stakeholders to deliver high-quality product features and enhancements • Participate actively in Agile ceremonies, including sprint planning, standups, retrospectives, and estimation sessions • Review technical designs, requirements, and specifications to provide constructive feedback and ensure engineering quality • Identify technical risks, dependencies, and architectural considerations early in the development process • Drive engineering best practices across CI/CD, testing, observability, security, and code quality • Contribute to architectural strategy and support scalable, maintainable system design decisions • Build and support real-time, event-driven, and data-intensive platform capabilities • Participate in an on-call support rota and contribute to incident resolution and operational stability • Collaborate across business and technical teams to align engineering delivery with commercial and customer objectives • Promote knowledge sharing, documentation, and continuous improvement across the engineering organisation • Leverage AI-assisted development tools to improve engineering productivity and delivery efficiency

• Maintain and enhance a live, feature-complete production platform. • Build new features across the backend and frontend. • Deliver incremental backend API improvements. • Support the Studio product in production. • Work primarily on backend development, with some frontend contribution. • Independently design and document APIs. • Follow existing codebase patterns and deployment pipelines. • Collaborate within an existing engineering team while self-managing day to day. • Support containerised services deployed through the existing cloud deployment setup. • Use AI-assisted development tools comfortably as part of the engineering workflow.

• Strengthen the security, reliability, and scalability of the systems supporting the NLPatent platform. • Advance and promote a secure-by-design engineering approach across the organization. • Support the business in maintaining compliance requirements while enabling rapid and dependable software delivery. • Collaborate closely with engineering teams to embed security thinking and best practices throughout the software development lifecycle. • Support the continued growth and improvement of a robust and resilient infrastructure.

• Design, develop, test, and deliver high-quality full-stack applications using TypeScript, Node.js, Next.js, React, and C#/.NET where required. • Build clean, maintainable, and well-tested code that meets high standards for quality, accessibility, and performance. • Work directly on production systems while handling production data responsibly and maintaining strict GDPR compliance. • Take ownership of features from design through deployment, delivering work independently within an agile engineering team. • Review, question, and challenge requirements to ensure the right solutions are built before development begins. • Collaborate closely with designers to translate mockups into intuitive, user-friendly experiences while proactively identifying and addressing UX improvements. • Contribute to and maintain robust automated test coverage using Jest and Vitest. • Communicate blockers, risks, and technical challenges early to support smooth project delivery. • Participate actively in agile ceremonies, including stand-ups, retrospectives, demos, and story reviews. • Follow a modern engineering workflow by submitting small, frequent pull requests and supporting multiple production releases each week. • Use AI-assisted development tools, including Claude Code, as part of your day-to-day engineering workflow. • Work collaboratively within small, autonomous squads while contributing ideas in a flat, highly communicative team environment. • Apply strong product thinking and sound engineering judgment to deliver solutions that create meaningful user impact. • Adapt to established engineering practices, embracing the team's development processes and continuous improvement culture. • Proactively identify problems, recommend improvements, and contribute to technical discussions that enhance product quality and delivery.

• Design, develop, and maintain scalable web applications using React.js, Angular, Node.js, and NestJS. • Architect and implement microservices-based systems with a focus on performance, maintainability, and scalability. • Develop RESTful APIs and backend services using Node.js and NestJS. • Build responsive and user-friendly frontend applications using React.js and Angular. • Deploy, manage, and monitor applications on Google Cloud Platform. • Configure and maintain Cloud Run, Load Balancers, Cloud Storage, Cloud SQL, and related GCP services. • Create and maintain CI/CD pipelines for automated testing and deployment. • Containerize applications using Docker. • Manage local development environments with Docker Compose. • Collaborate with cross-functional teams to define technical requirements and deliver high-quality solutions. • Troubleshoot production issues. • Optimize system performance. • Use AI-assisted development tools such as Claude, Cursor, and other modern coding assistants to improve productivity and code quality. • Deliver scalable and maintainable applications. • Successfully deploy and manage cloud-native solutions. • Ensure high application performance and reliability. • Contribute to architectural decisions and technical leadership. • Drive development efficiency through modern engineering practices and AI-assisted workflows.

• Manage and optimise Snowflake data warehouses. • Overhaul Snowflake warehouse performance through materialisation strategies, dynamic tables, and clustering optimisation. • Build scalable ETL/ELT pipelines using dbt, Airflow, Fivetran, and AWS DMS. • Build ingestion pipelines using DMS and Fivetran. • Develop modelling layers in dbt using medallion architecture principles. • Transform raw data into clean, reliable, and business-ready models using dbt and AI-assisted tooling for documentation and testing. • Integrate data from multiple sources, including CRM systems, payment platforms, gaming platforms, and other operational systems. • Own initiatives focused on data quality improvements and monitoring, including anomaly detection and automated alerting. • Monitor and optimise platform performance, cost efficiency, and security. • Work closely with cross-functional teams across product development, data, operations, and analytics functions. • Collaborate with the data science team and support colleagues with reporting and analytics activities when required. • Support the organisation’s move towards real-time data ingestion and ETL using technologies such as DMS, Kafka, and Kinesis. • Help mentor other engineers within the team. • Contribute to the team's AI strategy and promote effective use of AI tools across engineering workflows. • Produce and maintain clear, comprehensive documentation to support scalability, transparency, and long-term platform sustainability. • Communicate effectively with both technical and non-technical stakeholders and proactively raise blockers when encountered.

• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. • Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. • Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. • Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. • Provide technical leadership through architecture reviews, code reviews, and engineering best practices. • Design and build scalable, secure, resilient, and observable cloud-based solutions. • Champion automated testing, quality assurance, and engineering standards across the development lifecycle. • Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. • Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. • Mentor and support engineers, helping to develop technical capability across the team. • Promote a culture of collaboration, continuous improvement, and engineering excellence. • Support recruitment, onboarding, and development of engineering talent. • Maintain clear technical documentation to support knowledge sharing and long-term maintainability.

• Own the end-to-end AI product strategy for Zero Gravity Tutor, including prompting architecture, model selection, retrieval (RAG) design, context management, and AI output quality across every subject and learning mode. • Build and continuously improve adaptive AI systems that personalise coaching based on how individual students think, learn, revise, and prepare. • Solve complex AI challenges, including expanding support from objective to subjective subjects, developing scalable evaluation frameworks, and maintaining product quality as the platform grows. • Design, implement, and continuously refine rigorous AI evaluation frameworks to measure model performance, output quality, hallucination rates, and real learning outcomes. • Prototype new AI features by writing code, building proof-of-concepts (POCs), running experiments, and validating ideas before committing engineering resources. • Own the product roadmap by defining priorities, sequencing initiatives, and ensuring the team focuses on the highest-impact opportunities for students and educators. • Establish clear success metrics for every product release, analyse performance, lead post-launch reviews, and foster a culture of rapid experimentation and continuous learning. • Act as the voice of students and teachers by conducting user research, synthesising feedback, and translating insights into meaningful product improvements. • Partner closely with Growth and Commercial teams to design product experiences and engagement loops that support sustainable user acquisition, retention, and business growth. • Shape the product experience for schools and educators, helping solve institutional challenges and creating solutions that support adoption at scale. • Work directly with partner schools and teachers to validate product direction, gather actionable insights, strengthen customer relationships, and influence the product roadmap. • Collaborate with the Commercial team to define how Zero Gravity Tutor is packaged, positioned, and communicated to institutional buyers. • Champion a culture of curiosity, experimentation, testing, and continuous improvement across the product organisation. • Work closely with Engineering to align priorities, remove blockers, accelerate delivery, and maintain a high execution pace. • Contribute to Zero Gravity's broader AI strategy by sharing learnings, best practices, and successful approaches across the wider organisation.

• Own the Feature Discovery phase for new work within your domain. • Produce high-quality Discovery outputs, including specifications, technical assessments, and risk registers that development teams can execute against without follow-up. • Architect scalable, reliable, and maintainable systems that provide a strong foundation for future development. • Drive technical decision-making and maintain the technical health of your domain. • Identify technical debt and create prioritised plans for continuous improvement. • Proactively manage risks and dependencies across features and initiatives. • Translate technical trade-offs and recommendations for Product, Design, and other non-technical stakeholders. • Ensure teams consistently have well-scoped, well-estimated, development-ready work. • Own technical delivery and Discovery activities within a defined domain. • Mentor Junior and Mid-level Engineers, supporting their growth through structured guidance and feedback. • Participate in hiring activities and evaluate engineering talent against established standards. • Set and maintain standards for AI tool usage within Discovery and development workflows. • Contribute to a culture of engineering excellence, collaboration, and continuous improvement.