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Embark on a transformative journey as an Electronic Trading Reliability Engineer. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you’ll support and enhance electronic trading platforms that underpin critical business operations across the firm. Working within a small, collaborative team, you’ll help ensure the stability and performance of fast-moving, low-latency trading systems, while also contributing to modernization initiatives shaping the next generation of our electronic trading infrastructure.
Job Responsibility:
Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning.
Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring.
Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience.
Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.
Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations.
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.
Requirements:
Supporting electronic trading systems, including exchange gateways, trading algorithms, dark pools, and market data platforms, using industry protocols such as FIX across asset classes including Equities, Rates, Futures, or FX
Troubleshooting and supporting complex trading environments using Linux platforms, scripting, monitoring tools (e.g., ITRS), and observability practices
Developing and maintaining automation scripts to improve operational efficiency, system stability, and incident response
Nice to have:
Programming experience in Java, Python, or C++ to extend automation capabilities and strengthen application reliability
Working with KDB to manage, analyze, and troubleshoot high-volume time-series trading data
Leveraging SRE and monitoring tooling such as Grafana or Elastic to enhance system observability and operational resilience