Lead Engineer focusing on Kubernetes and CNI technologies for the London Stock Exchange Group. Delivering next-generation, real-time market data platforms for a global financial markets provider.
Responsibilities
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.
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.
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.
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.
Strong CNI experience, ideally including Cilium, Kubernetes networking, network policies, and service routing.
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.
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