Full Stack Engineer

Role Overview We are looking for a Full Stack Engineer to build end-to-end product features — from responsive UIs to scalable APIs and distributed systems. You will work on cloud-native, Kubernetes-based architectures, across a modern data stack, and embed AI-assisted tooling as a standard part of your engineering workflow. Roles & Responsibilities Frontend • Build responsive, accessible UIs using React; own component design, state management, and frontend performance. • Collaborate with design and product to translate specifications into high-quality, production-ready interfaces. Backend, Distributed Systems & Engineering Quality • Build and maintain scalable REST APIs and microservices in Python with well-documented, versioned contracts. • Design and implement cloud-native, microservices-based architectures on Kubernetes (EKS or AKS), ensuring high availability, scalability, and fault tolerance. • Design and operate distributed messaging systems (Kafka); optimise data models across relational, NoSQL, and file-based stores (S3, Athena). • Write well-tested, maintainable code; actively participate in code reviews, surface risks early, and contribute to incident response. AI-Native Development (Mandatory) • Use AI-assisted tools (Claude, Cursor, GitHub Copilot) daily for code generation, review, and documentation. • Apply agent frameworks, prompt engineering, and LLM orchestration to integrate AI tooling into CI/CD and developer workflows. Skills & Experience Required Core Experience • 3–6 years building production web applications with meaningful full-stack exposure. • Experience in product-based companies working in agile, fast time-to-market environments. • Demonstrated ability to own features end-to-end — UI through API to database — and take them to production. AI-Native & Productivity Engineering (Mandatory) • Day-to-day hands-on experience with AI-assisted development tools — Claude, Cursor, GitHub Copilot, or equivalent. • Familiarity with agent frameworks, prompt engineering, LLM orchestration, and integrating AI tooling into CI/CD and developer workflows. Technical Stack • Frontend: React, HTML5, CSS3, JavaScript/TypeScript; state management and component design systems. • Backend: Python (Django, FastAPI, or Flask); REST API design; event-driven patterns. • Data Stores: MySQL, Postgres, DynamoDB; file-based stores — S3, Athena; indexing and query optimisation. • Distributed Systems: Kafka or equivalent messaging queues; event-driven and fault-tolerant architecture patterns. • Cloud & DevOps: Docker, Kubernetes (EKS or AKS); CI/CD pipelines (Azure DevOps or equivalent); AWS.