Container Team Lead - OpenShift & OpenShift AI
Job Description & How to Apply Below
Role Overview
We are seeking an experienced Container Team Lead to drive the deployment, optimisation, and governance of containerised platforms within a managed service environment. The role requires deep expertise in Open Shift and Open Shift AI
, including lifecycle management of Large Language Models (LLMs), automation initiatives, and ensuring SLA-driven operational excellence.
This position combines hands‑on technical leadership with platform governance and team management responsibilities.
Key Responsibilities- Lead deployment, configuration, and optimisation of Open Shift and Open Shift AI platforms
- Manage lifecycle of containerised workloads, including LLM deployments
- Oversee Kubernetes-based orchestration and platform scalability
- Implement automation frameworks for provisioning, monitoring, and patching
- Ensure high availability, security compliance, and SLA adherence
- Drive performance tuning and capacity planning
- Lead a team of platform engineers and Dev Ops specialists
- Collaborate with AI/ML teams to containerise and ope rationalise models
- Ensure governance, documentation, and operational best practices
- 8–10 years of experience in container platforms and cloud‑native environments
- Strong hands‑on experience with Open Shift and Kubernetes
- Experience deploying and managing LLMs in containerised environments
- Strong understanding of CI/CD pipelines, Infrastructure as Code (Terraform/Ansible), and Git Ops
- Experience in monitoring tools (Prometheus, Grafana, ELK, etc.)
- Exposure to hybrid cloud or multi‑cloud environments
- Proven team leadership experience
- Red Hat Open Shift Certification
- Kubernetes (CKA/CKAD)
- Cloud‑native platform certifications
- Automation‑driven mindset
- Strong troubleshooting and problem‑solving skills
- Ability to operate in SLA‑driven environments
- Strong stakeholder communication skills
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