Cloud Platform Engineering Specialist

Overview

In this role you will lead the delivery of enterprise-scale cloud platforms and architect AI-ready environments to power data and AI workloads. You will drive AI-enabled platform engineering, automation and governance across multi-cloud ecosystems, embedding intelligent, autonomous operations. You work across cross-functional teams to raise delivery standards, reduce toil and accelerate innovation. This role offers hands-on leadership, exposure to cutting-edge platforms, and a path to influence Accenture’s AI-native delivery approach.

Pay / Benefits

• 25 days’ vacation per year
• private medical insurance
• 3 extra days’ leave per year for charitable work
• flexibility and mobility to work onsite with clients

Responsibilities

• Lead delivery of enterprise-scale cloud platform programmes across Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake
• Architect AI-ready platform environments from the outset addressing compute, networking, storage and security for GenAI/ML workloads
• Drive AIOps adoption with intelligent monitoring, automated incident response and self-healing infrastructure
• Design and deliver CI/CD platforms with AI-assisted deployment, automated testing and operational automation
• Establish and govern Infrastructure as Code practices at scale, leveraging AI-assisted code generation and governance
• Lead platform security, networking, IAM and policy-as-code with automated governance and AI-assisted scanning
• Design for resilience, FinOps and performance optimisation using AI telemetry and observability
• Promote agentic operations patterns and govern autonomous and human-in-the-loop workflows
• Mentor and develop platform engineering teams, set technical standards and foster continuous improvement
• Contribute to proposition development, accelerators and reusable platform assets

Key requirements

• Extensive experience designing and delivering enterprise-scale cloud platforms (Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake)
• Advanced Infrastructure as Code capabilities (Terraform, Bicep, CloudFormation or similar) with AI-assisted IaC generation and governance
• CI/CD platform design and implementation with AI-assisted deployment and test automation
• Experience with AIOps, platform observability and intelligent monitoring (self-healing or autonomously managed platforms)
• 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 people development
• Strategic, pragmatic decision-making
• Azure
• AWS
• GCP

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