Lead DevOps Engineer

You can expect to be doing

• Own the design and implementation of DevOps platform capabilities, ensuring alignment to cloud-native, security, and engineering standards
• Define and implement platform standards, including service archetypes, repository structures, branching strategies, and environment topology
• Engineer and optimise CI/CD pipelines with integrated quality gates, automated testing, promotion controls, and release orchestration to enable reliable route-to-live
• Implement secure-by-design DevSecOps controls, including IAM, secrets management, supply chain assurance, and compliance automation aligned to regulatory requirements
• Design and deliver observability frameworks, covering logging, metrics, tracing, alerting, and SLO-based monitoring to ensure operational visibility and maintainability
• Build for resilience and scalability, including autoscaling strategies, disaster recovery design, failure simulations, and operational readiness practices
• Continuously improve platform efficiency and developer experience, reducing manual effort through automation, optimising costs, and resolving delivery bottlenecks
• Drive innovation in DevOps practices, exploring AIOps, predictive monitoring, and enhancements to developer productivity across the software lifecycle
• Collaborate closely with engineers, architects, and product teams to translate platform requirements into robust, scalable solutions

We would be looking for the following...

• 15+ years of software engineering experience, with a minimum of 10 years in DevOps or platform engineering roles
• Strong experience in DevOps engineering and platform design, with hands-on expertise in building and operating cloud-native platforms
• Deep knowledge of CI/CD, automation, and infrastructure-as-code (IaC), including Terraform, with a focus on scalability, reliability, and repeatability
• Hands-on expertise in GCP, Kubernetes (GKE), containerisation, and distributed systems
• Strong programming skills (e.g. Java, Python, Go, or similar) with an automation-first mindset
• Strong understanding and practical application of agile engineering practices
• Strong understanding of observability, SLOs/SLAs, and production operations
• Experience designing for resilience and scalability, including DR, capacity management, and performance optimisation
• Strong collaboration skills, working effectively across engineering, architecture, and product teams

It would be great if you also had

• Experience with Harness or similar modern CI/CD and release orchestration platforms
• Strong exposure to DevSecOps practices, including embedding security controls across the SDLC
• Exposure to AIOps, predictive monitoring, or AI-assisted engineering practices
• Experience optimising CI/CD pipelines and release processes for large-scale platforms
• Knowledge of API management platforms (e.g. Apigee X) and enterprise integration patterns
• Experience working in regulated environments, with an understanding of compliance, audit, and data controls
• Familiarity with cost optimisation and capacity planning strategies in cloud environments