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Join Barclays as an Equities Risk Software Engineer, where you will build high-performance, resilient Java services supporting critical risk functions. Applying strong concurrency fundamentals, you will develop container-ready applications designed for reliability, observability, and stable behaviour under market stress. Experience with derivatives risk, reactive or event-driven systems, and latency-sensitive distributed architectures will support the delivery of scalable, production-grade solutions.
Job Responsibility:
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements:
Solid Java & concurrency fundamentals-comfortable with threads, executors, immutability, and avoiding shared‑state bugs
Container‑aware development-can build and run Java services in containers, understands startup/shutdown, resource limits, and basic observability (logs/metrics) in a Kubernetes‑style environment
Production mindset-thinks about failure cases, debuggability, and how their service behaves during restarts, spikes, or bad market data/input
Nice to have:
Working understanding of derivatives risk concepts
Exposure to reactive programming or event‑driven systems
Experience with large distributed systems, latency & throughput sensitive