Kubernetes Linux AIOps Engineer – Elite Quant Hedge Fund

Infrastructure DevOps Engineer / SRE with expertise in Kubernetes, Linux, Observability, IaC and AIOps sought by a market-leading Quantitative Hedge Fund to further aide further business growth.

Our client is one of the World's Elite Quant Hedge Fund Managers with large-scale, massively Distributed Systems, and ample opportunity for Engineering-at-Scale on huge, big ticket projects in an environment boasting nearly 100,000 Kubernetes cores.

They boast a highly lean and flat, non-hierarchical business, which has very little in the way of siloes - unlike many of their industry peers - and therefore engineers are fortunate enough to take ownership of projects and relationships end-to-end across the firm. This operating model relies on strong collaboration and communication skills.

This a newly created Platform Infrastructure team, separated out of a Core Infrastructure function, and with a focus on Core Platform Engineering, DevOps / Developer Tooling, AI Tooling / AIOps – for example building an automated CI/CD / GitLab deployment platform for AI applications.

This team collaborate heavily with diverse stakeholders - typically peer Technology teams (Data, Software, Infrastructure....), Quantitative Development, and business users in Quantitative Research and other business stakeholders across the firm.

Requirements

• Infrastructure DevOps / SRE Engineering: 4+ years' minimum professional experience.
• Kubernetes: expertise to include knowledge of Internals and experience of Planning around Production environments and deployments.
• Linux: including debugging and command line skills.
• Observability: Experience within the modern open-source ecosystem (e.g. OpenTelemetry, LGTM stack, Prometheus, Grafana, Loki)
• CI/CD and GitLab / GitOps: working with Development teams. A track-record in Engineering for Developer Experience / Developer Tooling would be highly desirable.
• Programming / IaC - proficiency in at least one language (Python, Go, Bash, Terraform, C...) Must be able to write high quality Automation / scripts from scratch.
• AI Tooling: experience and projects using the likes Claude, OpenCode, Cursor...).
• Communication: articulate, empathetic, curious, positive, enjoying working on a variety of problems in a fast-paced environment, with diverse teams, with drive and passion for Engineering and Technology

This is an outstanding opportunity to join a highly successful and elite Quantitative Hedge Fund Manager, working with large-scale, bleeding edge technology and collaborating with diverse, world-class colleagues. Compensation is commensurately market leading as is the firm's record of employee retention/tenure. Our client requires a four-day onsite commitment in London SW1.