Python Developer - Quant Infrastructure Engineer
Overview
We are seeking an experienced Python Tech Lead / Quant Infrastructure Engineer to support the development of a modern analytics and engineering platform within Credit and Capital Management. The role focuses on building scalable infrastructure, enhancing development tooling, and improving production environments supporting quantitative risk and analytics systems.
The successful candidate will work closely with Quants, Developers, and business stakeholders, driving engineering best practices across Python development, APIs, Linux environments, containerisation, CI/CD, and production support within a banking or capital markets environment.
You will:
- Design and maintain scalable development infrastructure and engineering platforms supporting Credit and Capital Management analytics.
- Build and enhance development environments, deployment frameworks, CI/CD pipelines, and shared engineering tooling.
- Support production environments, monitoring, observability, and platform reliability.
- Collaborate with Quant Developers, Engineers, and business stakeholders to improve system performance, scalability, and maintainability.
- Drive best practices across software engineering, automation, testing, release management, and infrastructure reliability.
- Support containerisation and distributed compute environments for analytical workloads.
You should have:
- 7+ years in Python engineering, platform engineering, infrastructure engineering, or Quant Dev infrastructure roles.
- Strong Python development experience, including backend engineering and automation tooling.
- Strong Linux/UNIX systems knowledge.
- Strong experience with:
- Docker / Kubernetes
- CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions etc.)
- Cloud platforms (AWS/Azure/GCP)
- Infrastructure automation
- Distributed systems
- Experience building and maintaining APIs and microservices.
- Strong understanding of software architecture, scalability, observability, and production support.
- Experience with SQL/NoSQL databases and data pipelines.
- Familiarity with quant/trading environments or investment banking ecosystems preferred.
We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.
