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.