Design, develop, and maintain backend services using Java (11/17+) and modern frameworks (e.g., Spring Boot), focusing on scalability, security, and clean architecture.
Build and evolve front-end applications using React and TypeScript, ensuring responsive UX, accessibility, and performance.
Define and maintain robust REST API contracts (versioning, pagination, consistent error handling) and documentation (OpenAPI/Swagger).
Apply Clean Architecture, SOLID, and domain-driven thinking to keep codebases maintainable as products scale.
Work with relational databases (e.g., PostgreSQL/MySQL) and optimize performance through sound data modeling, indexing, and query tuning.
Implement asynchronous and event-driven patterns where relevant (Kafka/RabbitMQ), ensuring idempotency, retries, and traceability.
Build quality in: testing strategies (unit, integration, contract, UI), code reviews, refactoring, and CI automation.
Collaborate with DevOps/platform teams on CI/CD, containerization (Docker), and cloud deployments (AWS/Azure/GCP).
Improve observability with logs, metrics, and tracing (OpenTelemetry/APM tools) and participate in incident response and RCA.
Mentor junior engineers, contribute to technical strategy, and align delivery with product outcomes.
Work in an AI-first way: leverage Copilot/GenAI responsibly to accelerate delivery while keeping enterprise-grade standards and security.
6+ years of experience delivering production software, with strong hands-on work across Java and React.
Strong experience with Spring Boot (or equivalent) building APIs and backend services.
Solid experience in React development (component architecture, state management, API integration) — TypeScript strongly preferred.
Strong understanding of API design, integration patterns, and web fundamentals.
Strong SQL skills and experience with relational databases and performance optimization.
Track record of engineering excellence: testing, code reviews, clean code, and maintainable architecture.
Comfortable collaborating with cross-functional teams in an agile setup.
Professional English to work in global teams.
Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).
For more on our team culture and benefits, check out our careers page.
