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About the Role

Lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes, Terraform, and AI/ML tooling, combined with outstanding delivery management skills to ensure projects are delivered on time, on scope, and to a high standard.

Responsibilities

• Own end-to-end technical delivery of GCP cloud programmes, from initiation through to go-live and hypercare
• Lead cross-functional delivery teams including cloud engineers, IAM specialists, GKE administrators, and ML engineers
• Manage programme roadmaps, delivery plans, RAID logs, and stakeholder reporting at executive and working levels
• Drive Agile/Scrum delivery ceremonies and ensure engineering squads maintain velocity and quality
• Provide technical oversight across GCP workstreams including IAM governance, GKE platform, Vertex AI, and IaC (Terraform/Ansible)
• Act as escalation point for technical delivery blockers and facilitate resolution with architecture and engineering leads
• Coordinate release planning, environment management, and change management processes
• Manage relationships with GCP account teams, third-party vendors, and internal business stakeholders
• Define and track KPIs and SLAs for cloud delivery programmes and platform operations
• Embed DevSecOps practices into delivery teams and champion quality gates throughout the SDLC
• Support pre-sales and solution scoping activities, contributing to technical proposals and effort estimation
• Drive continuous improvement across delivery processes, tooling, and team capability

Requirements

• 6+ years of technology delivery experience, with at least 3 years managing GCP cloud delivery programmes
• Solid technical background spanning GCP services, Kubernetes/GKE, Terraform, Ansible, and CI/CD
• Demonstrated experience leading cross-functional teams of 8+ engineers in a fast-paced environment
• Strong understanding of GCP IAM, security principles, and compliance requirements in cloud delivery contexts
• Experience with Agile, Scrum, and SAFe delivery frameworks and associated tooling (Jira, Confluence)
• Excellent stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
• Understanding of cloud financial management, cost optimisation, and budgetary governance
• Familiarity with Vertex AI and ML delivery pipelines at an oversight level
• Google Professional Cloud Architect or Cloud DevOps Engineer certification
• PMP, PRINCE2, or equivalent project management qualification
• Experience delivering Vertex AI or data platform programmes
• Background in managed services, professional services, or systems integration
• Experience with FinOps practices and GCP cost management tooling
• Familiarity with GKE platform engineering and container delivery patterns

Skills

• GCP
• Kubernetes
• Terraform
• AI/ML tooling
• IAM
• GKE
• Vertex AI
• Ansible
• CI/CD
• Agile
• Scrum
• SAFe
• Jira
• Confluence
• FinOps
• GCP cost management

Experience Level

• 6+ years of technology delivery experience
• 3+ years managing GCP cloud delivery programmes