Jobs / Accenture
Cloud Platform Engineering Specialist
Accenture · Leeds, ENG, United Kingdom
Leeds, ENG, United KingdomOnsite
Remuneration
25 days’ vacation per year; private medical insurance; 3 extra days’ leave per year for charitable work
Location
Leeds, ENG, United Kingdom
Visa sponsorship
Not specified
Job summary
This role leads the design, delivery, and operation of enterprise-scale cloud platforms supporting data and AI workloads, including GenAI, machine learning, and agentic systems. Responsibilities span Azure, AWS, GCP, Databricks, Microsoft Fabric, and Snowflake, with a focus on AIOps, CI/CD, Infrastructure as Code, security, governance, resilience, and FinOps. The role also sets engineering standards and mentors teams in AI-augmented platform delivery.
Benefits
25 days’ vacation per yearPrivate medical insurance3 extra days’ leave per year for charitable work
Qualifications
- Experience designing and delivering enterprise-scale cloud platforms across one or more listed cloud or data platforms
- Advanced Infrastructure as Code skills using Terraform, Bicep, CloudFormation, or similar
- Experience with AI-assisted Infrastructure as Code generation and governance
- Experience designing CI/CD platforms with AI-assisted deployment and test automation
- Experience with AIOps, platform observability, intelligent monitoring, or self-healing operations
- Knowledge of cloud security, networking, identity and access management, and policy-as-code
- Ability to design production platforms for GenAI, machine learning, and agentic workloads
- Experience leading and mentoring engineering teams and setting technical direction
- Familiarity with agentic AI patterns and their platform, operations, and governance implications
Responsibilities
- Lead enterprise-scale cloud platform programmes across cloud and data platforms
- Architect AI-ready environments for compute, networking, storage, and security needs
- Implement intelligent monitoring, automated incident response, and self-healing infrastructure
- Design CI/CD platforms with AI-assisted deployment pipelines and automated testing
- Establish and govern Infrastructure as Code practices, including AI-assisted generation and review
- Lead platform security, networking, compliance, and policy-as-code engineering
- Improve platform resilience, cost efficiency, and performance using telemetry and observability
- Develop platforms and governance for autonomous and human-in-the-loop operations
- Mentor engineering teams and establish technical standards
- Contribute to propositions, accelerators, and reusable platform assets
Skills
AWSAzureBicepCloudFormationDatabricksGCPIAMSnowflakeTerraformGitHub ActionsGitLab CIGrafanaJenkinsOpenTelemetryPrometheus
Certifications
AWS Solutions Architect ProfessionalAzure Solutions Architect ExpertGoogle Professional Cloud ArchitectAWS Machine Learning SpecialtyGoogle Professional ML EngineerDatabricks Generative AI EngineerAnthropic Claude Certified Architect (CCAR-F or CCAR-P)Microsoft Agentic AI Business Solutions Architect (AB-100)AI Agent Builder Associate (AB-620)
Travel
Onsite time with clients and partners is required
Industry
Financial ServicesResourcesProductsCommunicationsHealth and Public Services
Relocation
No