Lead Platform Engineer
Job summary
This Platform Engineer role is an opportunity to develop your career across a variety of leading or new technologies within the container platform, integration or network connectivity group reporting into a strategic Product team. This group is responsible for specialised infrastructure and cloud platform services required globally across LSEG. We are embarking on an exciting transformation of our real-time market data applications onto a new advanced latency-optimised container platform and need innovative problem solvers to help us deliver this capability. This is a technical position for someone who can dive deep, build on-premise, hybrid or cloud-optimized IT infrastructure services that will support our real time high-performance container-based workloads. The role involves elements of design, build engineering, complex migration planning and consultation to deliver business related outcomes in an agile manner.
Qualifications
- Proven enterprise Kubernetes, container orchestration, and cloud-native network engineering experience on large production environments.
- Strong experience operating large-scale Linux-based platforms in production, ideally within hybrid or cloud-native environments.
- Solid understanding of containerized workloads and Kubernetes environments from an operational perspective.
- Experience diagnosing performance, latency and availability issues across complex distributed systems.
- Familiarity with CI/CD pipelines and Git-based workflows.
- Working knowledge of infrastructure automation and configuration management (e.g., Terraform, Ansible, scripting).
- Strong problem-structuring skills and the ability to communicate technical issues clearly to both engineering and non-technical stakeholders.
- Comfortable working across multiple workstreams and responding to operational priorities when required.
- Experience with Agile delivery environments and tools such as Jira, Confluence and GitLab.
Responsibilities
- Own the production operation of Kubernetes and hybrid cloud platforms, including reliability, performance and stability.
- Implement and evolve monitoring, alerting and observability across Kubernetes clusters and supporting infrastructure.
- Analyze platform behavior under load, identify risks and drive proactive improvements.
- Support incident response, root cause analysis and post-incident actions for Kubernetes-based services.
- Partner with platform engineers and application teams to ensure production readiness and smooth onboarding.
- Improve automation, runbooks and operational tooling to reduce manual intervention.
- Act as a Kubernetes production Subject Matter Expert, advising on best practice and operational standards.
- Influence platform roadmaps through data-driven operational insights.