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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Platform Engineering Specialist - **Company:** Accenture - **Location:** Bristol, UK - **Salary:** £80,871.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Computing Security, Code Generation, Continuous Integration, Identity and Access Management, Performance Tuning, Azure Machine Learning, Policy as Code, Google Cloud, Cloud Platform System, Snowflake, Generative AI, Agentic-AI, Cloudformation, Microsoft Fabric, AI Platforms, Infrastructure Automation Frameworks, Bicep, Claude, Virtual Agents, Terraform, AIOps, Databricks, Vulnerability Analysis - **Published:** October 7, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5916574177 ## About the Role * Design and delivery of enterprise-scale cloud platforms across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake * Advanced Infrastructure as Code capabilities (Terraform, Bicep, CloudFormation or similar) including AI-assisted IaC generation and governance * CI/CD platform design and implementation, with experience incorporating AI-assisted deployment and test automation * AIOps, platform observability and intelligent monitoring - including experience designing or operating self-healing or autonomously managed platform capabilities * Cloud security, networking, identity and access management, and policy-as-code engineering * AI-ready platform architecture - proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production * Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard * Familiarity with agentic AI patterns and their implications for platform design, operations and governance, You don't need to tick every box on this list. We're looking for experienced platform engineering leaders who have demonstrable depth across a number of these areas, and the technical curiosity to grow into the rest. If you set high standards, lead teams with purpose, embrace AI as a fundamental shift in how platform engineering is practised - and want to work on some of the most ambitious data and AI programmes in the market - we want to hear from you. Set yourself apart: * Hands-on experience designing or operating agentic platform capabilities or AI-driven autonomous operations in production * Cloud FinOps leadership and platform cost optimisation at enterprise scale * Experience contributing to commercial propositions, bids or client-facing accelerators * Infrastructure as Code experience at enterprise scale (Terraform, Bicep, CloudFormation or similar) * Cloud networking, identity, access management or security engineering experience * Familiarity with policy-as-code or platform governance controls * Relevant advanced cloud certifications (e.g. AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect) * AI platform and engineering certifications (e.g. AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks Generative AI Engineer) * AI practitioner certifications demonstrating hands-on fluency with leading AI platforms - for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic AI Business Solutions Architect (AB-100) or AI Agent Builder Associate (AB-620), or equivalent credentials from other leading AI vendors ## Description * Lead delivery of enterprise-scale cloud platform programmes, driving the design and implementation of AI-native infrastructure across Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake * Architect and oversee AI-ready platform environments from the outset - designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later * Drive AIOps adoption across platform operations - implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil * Lead the design and delivery of CI/CD platforms incorporating AI-assisted deployment pipelines, automated testing and operational automation, establishing these as engineering standards across delivery teams * Establish and govern Infrastructure as Code practices at scale, increasingly leveraging AI-assisted code generation and review to accelerate platform delivery and enforce consistency * Lead platform security, networking and compliance engineering - embedding policy-as-code, automated governance controls and AI-assisted security scanning as standard elements of platform delivery * Design for platform resilience, FinOps and performance optimisation - using AI-driven telemetry and observability to anticipate issues, optimise cost and maintain operational excellence * Drive adoption of agentic operations patterns - designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively * Mentor and develop platform engineering teams in AI-augmented delivery practices, setting technical standards and fostering a culture of continuous improvement and engineering excellence * Contribute to proposition development, accelerators and reusable platform assets that strengthen our market offering and reduce delivery time on future engagements