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Accenture

Advises businesses and runs their technology

Cloud Platform Engineering Specialist

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeLeeds, UKNo salary listed

About the Job

Requirements

  • Significant experience designing and delivering enterprise-scale cloud platforms across one or more of Azure, AWS, GCP, Databricks, Microsoft Fabric, or Snowflake.
  • Advanced Infrastructure as Code capabilities using Terraform, Bicep, CloudFormation, or similar, including AI-assisted generation and governance.
  • Experience designing and implementing CI/CD platforms, including AI-assisted deployment and test automation.
  • Experience with AIOps, platform observability, intelligent monitoring, and designing or operating self-healing or autonomously managed platform capabilities.
  • Experience in cloud security, networking, identity and access management, and policy-as-code engineering.
  • Proven ability to design AI-ready platform architectures for production GenAI, machine learning, and agentic workloads.
  • 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.

Responsibilities

  • 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 generative AI, machine learning, and agentic workloads.
  • Drive adoption of AIOps across platform operations by implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational work.
  • 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 by designing platforms that support autonomous and human-in-the-loop operational workflows and leading teams in understanding how to build and govern them effectively.
  • Mentor and develop platform engineering teams in AI-augmented delivery practices, set technical standards, and foster continuous improvement and engineering excellence.
  • Contribute to proposition development, accelerators, and reusable platform assets that strengthen the market offering and reduce delivery time on future engagements.

Desired Qualifications

  • 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.
  • Enterprise-scale Infrastructure as Code experience using Terraform, Bicep, CloudFormation, or similar.
  • Experience in cloud networking, identity, access management, or security engineering.
  • Familiarity with policy-as-code or platform governance controls.
  • Relevant advanced cloud certifications, such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
  • AI platform and engineering certifications, such as AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Databricks Generative AI Engineer.
  • AI practitioner certifications demonstrating hands-on fluency with leading AI platforms, such as Anthropic Claude Certified Architect, Microsoft Agentic AI Business Solutions Architect, AI Agent Builder Associate, or equivalent credentials from other leading AI vendors.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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