Cloud Platform Engineering Associate Manager

In this role you will lead and shape enterprise-scale cloud platform programmes that power data and AI workloads. You’ll architect AI-ready environments and drive AI-enabled operations at scale within the Data & AI practice. You’ll champion automation, governance and innovative delivery methods to reduce toil and accelerate value for clients. This is a chance to work across leading cloud technologies in a global, collaborative environment and to influence platform engineering standards.

• 25 days’ vacation per year
• Private medical insurance
• 3 extra days’ leave per year for charitable work
• Extensive benefits package
• Onsite work with clients and partners
• Flexibility and mobility

• Lead delivery of enterprise-scale cloud platform programmes and design AI-native infrastructure across multiple clouds
• Architect AI-ready platform environments addressing compute, networking, storage and security for GenAI, ML and agentic workloads
• Drive AIOps adoption with intelligent monitoring, automated incident response and self-healing capabilities
• Design and deliver CI/CD platforms with AI-assisted deployment and testing, setting engineering standards
• Establish and govern Infrastructure as Code practices at scale, leveraging AI-assisted code generation and review
• Lead platform security, networking, compliance engineering including policy-as-code and automated governance
• Design for resilience, FinOps and performance optimization using AI-driven telemetry and observability
• Promote agentic operations patterns and oversee teams in autonomous/human-in-the-loop workflows
• Mentor platform engineering teams, set technical standards and foster continuous improvement
• Contribute to propositions, accelerators and reusable platform assets to speed future engagements

• Experience delivering enterprise-scale cloud platforms (Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake)
• Advanced IaC capabilities (Terraform, Bicep, CloudFormation) including AI-assisted generation and governance
• CI/CD platform design with AI-assisted deployment and test automation
• AIOps, observability and self-healing platform capabilities
• Cloud security, networking, IAM and policy-as-code engineering
• AI-ready platform architecture for GenAI, ML and agentic workloads
• Experience leading and mentoring engineering teams and setting technical direction
• Familiarity with agentic AI patterns and governance implications

• Strong leadership and people development
• Strategic thinking with hands-on delivery mindset
• Cross-functional collaboration and communication
• Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake
• Terraform, Bicep, CloudFormation
• CI/CD with AI-assisted deployment and test automation