About this role
Salary: £61,000 - 101,000 per year
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 skills 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 and intelligent monitoring, including 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 production-ready AI platforms for GenAI, ML and agentic workloads
- Experience leading and mentoring engineering teams, setting technical direction and maintaining high delivery standards
- Familiarity with agentic AI patterns and their implications for platform design, operations and governance
- We welcome experienced platform engineering leaders with demonstrable depth in several of these areas and the technical curiosity to develop in others; candidates do not need to meet every listed criterion
- Additional strengths include hands-on experience with agentic platforms or autonomous operations in production; enterprise-scale Cloud FinOps and cost optimisation; contributions to commercial propositions, bids or client-facing accelerators; and cloud networking, identity, access management, security or platform governance expertise
- Relevant advanced cloud, AI platform, engineering or practitioner certifications are advantageous, including AWS, Azure, Google Cloud, Databricks, Anthropic or Microsoft credentials
Responsibilities
- Lead enterprise-scale cloud platform programmes, delivering AI-native infrastructure across Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake
- Architect AI-ready platform environments, designing for the compute, networking, storage and security needs of GenAI, ML and agentic workloads
- Drive AIOps adoption through intelligent monitoring, automated incident detection and response, and self-healing infrastructure
- Lead delivery of CI/CD platforms with AI-assisted deployment pipelines, automated testing and operational automation, establishing engineering standards across teams
- Establish and govern Infrastructure as Code practices at scale, using AI-assisted code generation and review where appropriate
- Lead platform security, networking and compliance engineering, embedding policy-as-code, automated governance and AI-assisted security scanning
- Design for resilience, FinOps and performance optimisation, using AI-driven telemetry and observability to anticipate issues and manage costs
- Drive adoption of agentic operations patterns, designing for autonomous and human-in-the-loop workflows and guiding teams on their implementation and governance
- Mentor and develop platform engineering teams in AI-augmented delivery, set technical standards and foster continuous improvement
- Contribute to proposition development, accelerators and reusable platform assets
Technologies
- Agentic AI
- AI
- AWS
- Architect
- Azure
- CI/CD
- Cloud
- Databricks
- Fabric
- GCP
- Network
- Security
- Snowflake
- Terraform
- DevOps
- Support
- Machine Learning
- REST
More
We are hiring a Cloud Platform Engineering Associate Manager for our Data & AI team in Glasgow. The role offers a competitive salary and benefits package, dependent on experience. Our global professional services and technology business works across more than 40 industries and serves clients in over 120 countries, combining expertise in strategy and consulting, digital, cloud, security, technology and operations. Our Data & AI teams work across Financial Services, Resources, Products, Communications, and Health & Public Services, delivering large-scale data and AI solutions.
We foster inclusion, diversity, innovation and shared success, and provide access to training and a global network of experts. Benefits include 25 days of annual vacation, private medical insurance and three additional days of leave for charitable work. Flexibility and mobility are required, including time onsite with clients and partners. We are an equal opportunities employer and make employment decisions without discrimination on grounds protected by applicable law. The application closing date is 18 December 2026.
last updated 46 week of 2026