Overview
My client is looking for a Lead DevOps Engineer to define and drive platform engineering practices that enable secure, scalable, and automated environments across data, AI, and application workloads.
This is a hands-on leadership role, responsible for setting standards across CI/CD, Infrastructure as Code, Kubernetes/OpenShift, observability, and security, while ensuring engineering teams can deliver efficiently within a governed and resilient platform.
You will act as a key bridge between Infrastructure, Security, DataOps, and Platform Engineering teams, helping to establish automation, reliability, and compliance as core principles across the organisation.
Responsibilities
Platform Engineering & Architecture
- Define and enforce DevOps standards across CI/CD, IaC, and container orchestration
- Design, build, and operate Kubernetes/OpenShift clusters in hybrid and on-prem environments
- Own cluster lifecycle management, including upgrades, scaling, networking, storage integration, and resilience
- Champion DevOps best practices across a hybrid architecture (Azure + on-prem)
Automation & CI/CD
- Standardise and optimise CI/CD frameworks (Azure DevOps, GitHub Actions)
- Drive adoption of Infrastructure as Code (Terraform, Ansible) across all environments
- Enable automated, consistent, and scalable deployments across platforms
Observability & Reliability
- Establish observability frameworks (metrics, logs, traces, dashboards, alerting)
- Define SLOs/SLAs and ensure platform reliability and performance
- Oversee incident management, runbooks, and automated remediation strategies
Security & Governance
- Embed security-first practices including RBAC, secrets management, encryption, and vulnerability scanning
- Ensure compliance with PHI/PII regulations through secure platform design
- Support auditability and traceability across all deployments
- Contribute to platform governance and design authority forums
- Mentor and develop DevOps engineers, raising platform maturity and best practices
- Collaborate with DataOps, AI/ML, and Engineering teams to support scalable delivery
- Partner with Infrastructure and Security teams to implement shared services and guardrails
Required Experience & Skills
- 10+ years’ experience in DevOps / Platform Engineering, with 5+ years in a leadership role
- Strong hands-on expertise in Kubernetes and OpenShift (cluster operations and lifecycle management)
- Deep experience with CI/CD tools (Azure DevOps, GitHub Actions)
- Advanced knowledge of Terraform and Ansible (Infrastructure as Code)
- Strong Linux systems experience in hybrid and on-prem environments
- Experience implementing observability tools (e.g. Prometheus, Grafana, ELK, OpenTelemetry)
- Solid understanding of security frameworks (RBAC, secrets management, compliance)
Nice to Have
- Experience working with data and AI platforms (e.g. Databricks, Kafka, Airflow, MLflow)
- Exposure to hybrid infrastructure (Azure + on-prem storage such as MinIO or VAST)
- Experience contributing to architecture governance or design councils
Please apply to be contacted with further information.
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