Full - Stack Developer

Responsibilities:

• Own features end-to-end. From initial design to production reliability, you write the code, manage the deployment, and own the 3 AM page. This includes React frontends, Java backends, and the cloud infrastructure tying them together.
• Build for scale and real-time. Design and implement systems that handle thousands of concurrent users on large-scale events, with low-latency WebSocket connections, efficient pub/sub patterns, and resilient backend services.
• Deliver high-quality frontend experiences. Build highly interactive React apps with video, live streaming, and real-time engagement optimised for performance, bundle efficiency, and responsiveness.
• Work AI-assisted, not AI-dependent. Use tools like Cursor or Claude Code to accelerate routine work. Bring your senior judgement to audit what they produce, catching logic fragmentation, stale closures, misused concurrency primitives, and edge cases that agents confidently skip over.
• Shape architecture. Author tech docs and architecture that drive how features get built not just by you but also by the team and AI agents working alongside them. Enforce structural integrity across the codebase.
• Follow engineering best practices. Write clean, appropriately tested code unit tests, meaningful PR reviews, and documentation that doesn't go stale.
• Collaborate closely. Work directly with designers and product managers to iterate fast. Be product-obsessed enough to push back on specs when something doesn't make sense for the customer.

Requirements:

• 4-6 years of industry experience as a full-stack or specialised engineer with exposure to all layers of the stack.
• Deep expertise in at least one of React or Java (Spring Boot) and solid working knowledge of the other. You're a well-rounded full-stack engineer, not a specialist who ignores the other half.
• Frontend fundamentals: strong HTML, CSS, and JavaScript. You understand how the browser works, not just how React works.
• Strong in system design, both high-level (distributed systems, partition tolerance, pub/sub) and low-level (database indexing, memory management, concurrency). You know the tradeoffs, not just the buzzwords.
• Relational database proficiency: comfortable with PostgreSQL or MySQL, query design, indexing strategies, and knowing when an ORM is hiding something expensive from you.
• Hands-on AI tooling experience: You use tools like Cursor, Claude Code, or Copilot regularly. More importantly, you know their failure modes and apply judgement to what they produce.
• Modern stack familiarity: React, Redux, Java 11 Postgres, and Redis. Comfortable with cloud infrastructure and CI/CD pipelines.