Reliability Engineer

Actus Search; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Actus Search invites applications for a Python Reliability Engineer to join the Risk Technology team in London, working 4 days a week in the office. You will help build firm-wide platforms to improve observability, change safety and performance across high-volume trading systems.

The role requires a degree in Computer Science or related field and 4+ years in software or reliability engineering, with strong Python, Git, and automation tooling skills.

Qualifications

• Degree in Computer Science or related discipline.
• 4+ years in software or reliability engineering with hands-on L2 production support.
• Strong Python and Git proficiency.
• Experience building automation tooling and config management.
• Excellent analytical, detail-oriented, and communicative skills.
• Able to thrive in a fast-paced, high-ownership environment.

Responsabilités

• Develop health-check and observability capabilities for core platforms.
• Integrate automated performance benchmarking into CI/CD pipelines.
• Build a self-serve platform for configuration changes with approvals.
• Own production incidents on a shared rota and drive root-cause analysis.

Connaissances

Python

Git

Automation tooling

Configuration management

Analytical skills

Clear communication

High ownership

Observability

Formation

Bachelor's degree in Computer Science or related

Outils

Kubernetes

Slurm

Kafka

AMPS

PostgreSQL

ClickHouse

KDB/q

Git

Description du poste

Job title: Python Reliability Engineer – Risk Technology

Location: London - 4 days per week in office.

The opportunity

Actus Search is working with a leading global quantitative investment manager to hire a Reliability Software Engineer into its Risk Technology team in London.

The team owns the systems at the centre of the firm’s trading: position management, real-time P&L, inventory and locate management, and internal order routing. They have to be fast and resilient, and they process very large volumes of trading data in real time.

This is an engineering role, not a pure support role. You’ll build firm-wide platforms that make these systems easier to observe, safer to change and quicker to run, so the team spends less time on manual work.

Your impact

• Observability: building a health-check framework that teams can extend through configuration or custom code.
• Regression prevention: building automated performance benchmarking into the CI/CD pipeline, so performance and functional regressions are caught before they reach production.
• Automation: delivering a self-serve platform for configuration changes, with built-in approvals and scheduled execution.
• Production ownership: providing L2 support on a shared rota (about one day a week), leading root-cause analysis on incidents, and handling configuration changes and data corrections until they are automated.

What you’ll bring

• A degree in Computer Science or a related discipline
• 4+ years in software engineering or reliability engineering, including hands-on L2 production support
• Strong Python and Git
• Experience building automation tooling and working with configuration management
• Strong analytical skills, close attention to detail and clear communication
• Comfortable in a fast-paced, high-ownership environment
• Messaging middleware such as Kafka or AMPS
• Kubernetes or Slurm
• PostgreSQL, ClickHouse or KDB/q

What’s on offer

• Join a highly technical, engineering-led firm where reliability is treated as a core engineering discipline
• Work on platforms used across the firm, with direct impact on trading
• Highly competitive base salary and bonus