Summary
✨ AI‑Generated
A production engineering role supporting critical systems through automation, infrastructure management, deployment improvements, and incident resolution in a fast-paced technical environment.
Highlights
Hands-on engineering role focused on reliability, automation, infrastructure support, and improving operational efficiency.
Description
We're looking for a Production Engineer to join a London-based DevOps team!
This is a hands-on engineering position supporting critical mid-to-back-office trading systems.
You’ll work across Linux infrastructure, production applications, deployment tooling and trading-data pipelines in an environment where reliability, accuracy and rapid problem-solving directly affect the business.
The opportunity
Working within a small, experienced engineering team, you’ll take ownership of production reliability while building automation and tooling that reduces manual work and improves operational efficiency.
Your responsibilities will include:
Supporting production trading systems and on-premises Linux infrastructure.Developing Python applications, automation and ETL pipelines.Building and improving CI/CD pipelines and deployment tooling.Managing containerised workloads using Docker, Podman or similar technologies.Responding to production incidents and leading investigations through to resolution.Performing root-cause analysis and maintaining operational documentation and runbooks.Monitoring pricing and reference-data pipelines used for trading, risk and P&L.Building automated reconciliation and data-quality checks.Supporting the onboarding of new financial instruments.
What you’ll bring
Commercial experience in Production Engineering, SRE, DevOps, Systems Engineering or a similar position.Strong Python development and scripting skills.Experience supporting Linux-based production environments.Knowledge of Bash, SQL and relational databases.Experience with CI/CD pipelines, Git and container technologies.Strong troubleshooting skills across applications, infrastructure and data.Familiarity with monitoring and observability platforms such as Grafana.A degree in Computer Science, Engineering, Mathematics or another STEM discipline.
Valuable experience
Systematic trading, proprietary trading or financial systems.Market data, reference data, risk or P&L processes.Ansible or comparable configuration-management tools.Airflow, Dagster or similar orchestration frameworks.C++ development.Data-quality and reconciliation frameworks.
What’s offered
A base salary of up to £140,000, depending on experience + performance-related bonus.Private medical and dental insurance.Life assurance, income protection and travel insurance.Employer pension contributions of up to 5% of base salary.25 days of annual leave, plus bank holidays.
Interested in learning more? Apply now and let’s talk!
