Cloud Platform Engineering Associate Manager

Overview

In this role you lead enterprise-scale cloud platform engineering for AI-enabled workloads, shaping infrastructure and automation at scale. You will work within our Data & AI team to design and operate AI-native environments across multiple cloud platforms, driving intelligent operations and AI-assisted delivery. You’ll mentor engineers, set technical direction and contribute to reusable platform assets that accelerate client engagements. This is a hands-on leadership role in a fast-moving, AI-augmented delivery culture.

Pay / Benefits

• 25 days’ vacation per year
• private medical insurance
• 3 extra days’ leave per year for charitable work

Responsibilities

• Lead delivery of enterprise-scale cloud platform programmes across Azure, AWS, GCP, Databricks, Snowflake and more
• Architect AI-ready platform environments for GenAI, ML and agentic workloads from day one
• Drive AIOps adoption with intelligent monitoring, auto incident response and self-healing systems
• Design and deliver CI/CD platforms with AI-assisted deployment and testing
• Establish and govern Infrastructure as Code practices at scale, including AI-assisted generation and governance
• Lead security, networking, identity, and policy-as-code practices within platform delivery
• Design for resilience, FinOps and performance with AI-driven observability
• Promote agentic operations patterns and guide teams on autonomous/human-in-the-loop workflows
• Mentor platform engineering teams and raise engineering standards
• Contribute to propositions, accelerators and reusable assets to shorten delivery time

Key requirements

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

• leadership
• mentoring and coaching
• strategic thinking
• Terraform
• Bicep
• CloudFormation

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