Lead Kubernetes Platform Engineer
Role details
Job location
Tech stack
Job description
This is an exceptional opportunity to join a high impact engineering team delivering the next generation of LSEG's latency optimised, real time market data platforms. You will be working at the forefront of Kubernetes platform engineering, helping shape and evolve our hybrid cloud container ecosystem.
As part of the specialised container platform, integration, and network connectivity engineering group, you will contribute to the design, development, and lifecycle management of globally consumed infrastructure services. This team plays a central role in our strategic transformation, where innovation, curiosity, and continuous learning are highly valued.
We are looking for engineers who thrive in fast moving, complex environments, are self motivated, and enjoy solving deep technical problems. This role offers the chance to work with emerging technologies while contributing real engineering impact in an area undergoing rapid evolution.
WHAT YOU'LL BE DOING:
Engineering & Delivery
- Contribute to the design, implementation, and enhancement of Kubernetes based container platform components, with a focus on CNI, networking, and cluster-level integrations.
- Lead delivery of engineering tasks for Kubernetes platform features across development, test, and production environments.
- Implement, configure, and validate CNI solutions (e.g., Cilium), network policies, and associated platform capabilities.
- Drive high quality engineering practices including testing, documentation, peer reviews, and CI/CD automation.
Technical Influence & Collaboration
- Act as a domain specialist in Kubernetes and CNI networking, guiding team members and partnering with adjacent engineering squads.
- Provide technical input into platform architecture, backlog refinement, and feasibility assessments.
- Assist application teams onboarding to the container platform, providing guidance on networking, cluster usage, and deployment patterns.
Operational Excellence
- Support troubleshooting and root-cause analysis across multilayered network and container environments.
- Contribute to platform reliability and observability improvements through dashboards, run-books, and automation.
- Evaluate new tools, technologies, and approaches and present findings to the wider engineering community.
Ways of Working
- Operate effectively in an agile, iterative delivery model.
- Manage multiple work streams and priorities in a dynamic environment.
- Uphold engineering standards and advocate for platform quality, stability, and scalability.
Requirements
- Hands on Kubernetes engineering experience in production environments with hands on involvement in building, operating and evolving cluster-level capbilities
- Strong experience writing production-grade automation and tooling in GO, particularly for Kubernetes-related components (e.g. operators, controllers, extensions or internal platform tooling)
- Solid understanding of Linux networking fundamentals and container networking internals.
- Working knowledge of Kubernetes deployment pipelines, Git-based workflows, and automated testing principles.
- Strong recent Linux (especially Ubuntu) experience.
- Exposure to monitoring, observability, and troubleshooting across containerised workloads.
- Familiarity with CI/CD tools (GitLab, Jira, Confluence).
- Experience with automation tools such as Terraform, Ansible, or scripting languages.
- Understanding of performance tuned or latency sensitive environments (preferred but not required).
- Ability to collaborate effectively across teams and communicate technical concepts clearly.
- Strong analytical and problem solving ability in complex system environments.
- Comfortable working in a fast-paced environment with evolving priorities.