We’re looking for a DevOps / Platform Engineer to build, operate, and evolve the infrastructure and tooling used by trading teams and quantitative researchers. The role sits at the intersection of low‑latency colocation networks, containerised applications, and observable, automated infrastructure, with a strong focus on reliability, performance, and self‑service tooling.
Key responsibilities
- Design, deploy, and operate containerised services and internal tools used by trading desks and quants (Python‑based backend services, APIs, data pipelines).
- Maintain and optimise low‑latency systems in colocation environments, collaborating with trading and infrastructure teams on performance and resilience.
- Build and extend network automation workflows to configure and manage trading infrastructure (routers, switches, security, and connectivity).
- Define and implement observability for services and infrastructure using metrics, logging, and alerting (e.g., Prometheus, Grafana, and related tooling).
Key requirements
- Strong backend development experience with Python, including experience building APIs (e.g., FastAPI or similar frameworks).
- Experience with Prometheus‑style observability: metrics, alerting, and dashboards; familiarity with Grafana is a plus.
- Hands‑on experience with ClickHouse or similar high‑performance data stores is a strong advantage.
- Practical experience with network automation; Ansible or similar configuration‑management tools are beneficial.
- Experience running and maintaining container orchestration platforms, ideally Nomad; Kubernetes experience is also acceptable.
- Solid networking knowledge, particularly with Arista EOS and data‑centre networking concepts.
- Some front‑end experience with React or similar frameworks is considered a minor plus.
- Familiarity with Git, CI/CD pipelines, and infrastructure‑as‑code practices (e.g., GitOps, declarative config).
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