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Job Description

Attribution Search is partnered with a leading global systematic hedge fund to hire a Production Systems Engineer into its London technology team.

The firm is known for its research-driven culture, industry-leading technology platform, and long track record of delivering stable, uncorrelated performance. With offices across the US, Europe and Asia, this is an opportunity to join a highly respected engineering function that underpins a mission-critical quantitative trading environment.

The Role

You will join the Production Systems Group, responsible for the reliability, resilience, automation and observability of real-time trading systems. This is not a traditional support role, you will write code, design tooling, contribute to system architecture, and play a key part in the fund’s global follow-the-sun engineering model.

The ideal candidate combines strong systems engineering fundamentals with excellent debugging skills, an automation-first mindset, and the ability to operate calmly under pressure.

Key Responsibilities

Build and maintain automated tooling for system deployments, monitoring, alerting and operational workflows. Monitor the health of distributed trading systems with a focus on proactive failure prevention. Own and improve incident response, root cause analysis and blameless post-mortems. Work closely with developers to design scalable, testable and reliable deployment pipelines. Partner with trading, quant and operations teams, as well as external vendors, to troubleshoot and optimise the production environment.

Experience Required

3+ years supporting trading systems within a hedge fund or buyside firm. Deep experience working across Linux systems, including performance, networking and security debugging. Strong Python (OO) and Bash scripting capabilities. Proven background in observability, monitoring, incident response and improving operational resilience. Breadth across infrastructure technologies (operating systems, databases, scripting , CI/CD, and configuration management).

Technology Environment

: Python (core requirement), Bash; T-SQL desirable. Operating Systems: Strong Linux fundamentals; some Windows exposure beneficial. Automation / CI/CD: GitHub, TeamCity, Ansible; Terraform and Kubernetes highly advantageous. Monitoring & Observability: Datadog, Grafana, and modern log/metrics pipelines. Cloud: Experience with AWS or hybrid cloud environments desirable (HPC, batch compute, container orchestration). Databases: MS SQL Server; Snowflake experience a plus.

This is a chance to join a world-class systematic trading firm, contribute directly to the reliability and evolution of its production platform, and work alongside exceptional technologists in a high-impact, engineering-led environment.

Candidates with relevant experience are encouraged to apply to learn more.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.