Cloud Engineer

Overview

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

Leadership & Collaboration

• 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)
• Proven track record delivering
• enterprise-scale, cloud-native platforms
• 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