Accenture
Cloud Platform Engineering Specialist
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Cloud Platform Engineering Specialist
Location
Bristol
Salary
Competitive Salary + Package (dependent on experience)
About Accenture
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology, and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets, and next-generation technology to each business challenge.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO
About the Role
As a Cloud Platform Engineering Specialist, your focus is the foundation on which all of this runs — the cloud infrastructure, automation, and operational platform that makes data and AI delivery possible at scale. You will lead the delivery of AI-native platform engineering programs — designing, building, and operating the cloud environments that power our clients’ most demanding data and AI workloads. We operate in an AI-augmented delivery model where intelligent automation, AIOps, and AI-assisted engineering are not future ambitions but current practice, and our Managers are expected to lead from the front in adopting and embedding these approaches.
Key Responsibilities
- Lead delivery of enterprise-scale cloud platform programs, 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 optimization — using AI-driven telemetry and observability to anticipate issues, optimize 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.
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Requirements
- Significant experience in the 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.
What You Should Bring
- Hands-on experience designing or operating agentic platform capabilities or AI-driven autonomous operations in production.
- Cloud FinOps leadership and platform cost optimization 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.
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What’s in it for You
At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance, and 3 extra days’ leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology, and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic, or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
Closing Date for Applications
18/12/2026
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