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.
Responsibilities
- Collaboratively architecting a rock-solid and secure Kubernetes platform that can handle the huge volumes of data and load of our diverse technology estate.
- Accelerate the migration strategy to more cloud-native, distributed applications.
- Enhance and simplify the on-prem stack and its integrations with the hybrid Kubernetes setup.
- Create, implement, and evangelize the "Infrastructure as Code" mind-set and best practices across the environment.
- Eliminate the toil that emerges with large, distributed systems by automating where possible.
- Working as both an individual contributor and collaboratively to find new ways of improving the reliability, availability, and performance of the infrastructure.
Requirements
- Infrastructure Engineering: 8+ years' minimum professional experience.
- Kubernetes & Docker: expertise to include knowledge of Internals and experience of Planning around Production environments and deployments. The ideal candidate will need to have deep knowledge of Kubernetes as their platform is a growing presence and is critical to many parts of the business.
- Linux: including debugging and command line skills. RHEL preferred. Broad knowledge across network technologies, server virtualisation and storage
- Programming / IaC: proficiency in at least one language (Python, Go, Bash, Terraform, C…) Must be able to write high quality Automation / scripts from scratch.
- Configuration Management Tools (Ansible / Puppet / Kapitan / Terraform….)
- Observability: Experience within the modern open-source ecosystem (ELK, 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.
- 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.
”, “datePosted”: “2026-03-27”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Winston Fox”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__393317725__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=4” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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.
Responsibilities
- Collaboratively architecting a rock-solid and secure Kubernetes platform that can handle the huge volumes of data and load of our diverse technology estate.
- Accelerate the migration strategy to more cloud-native, distributed applications.
- Enhance and simplify the on-prem stack and its integrations with the hybrid Kubernetes setup.
- Create, implement, and evangelize the “Infrastructure as Code” mind-set and best practices across the environment.
- Eliminate the toil that emerges with large, distributed systems by automating where possible.
- Working as both an individual contributor and collaboratively to find new ways of improving the reliability, availability, and performance of the infrastructure.
Requirements
- Infrastructure Engineering: 8+ years’ minimum professional experience.
- Kubernetes & Docker: expertise to include knowledge of Internals and experience of Planning around Production environments and deployments. The ideal candidate will need to have deep knowledge of Kubernetes as their platform is a growing presence and is critical to many parts of the business.
- Linux: including debugging and command line skills. RHEL preferred. Broad knowledge across network technologies, server virtualisation and storage
- Programming / IaC: proficiency in at least one language (Python, Go, Bash, Terraform, C…) Must be able to write high quality Automation / scripts from scratch.
- Configuration Management Tools (Ansible / Puppet / Kapitan / Terraform….)
- Observability: Experience within the modern open-source ecosystem (ELK, 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.
- 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.
…