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Senior Azure Platform Engineering Lead; AI & DevOps

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: develop
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Azure, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Azure Platform Engineering Lead (AI & DevOps)

About the Rol

We are looking for an experienced and hands‑on Senior Azure Platform Engineering Lead to drive the evolution of our cloud platform, Dev Ops capabilities, and AI‑enabled engineering practices.

This is a senior technical leadership role for someone who enjoys remaining close to the technology while influencing engineering strategy and delivery. You will lead the design and implementation of enterprise‑scale Azure platforms, modern CI/CD practices, infrastructure automation, and the adoption of AI technologies that enhance software engineering productivity and operational efficiency.

The successful candidate will bring deep Azure expertise, strong software engineering fundamentals, and a passion for leveraging technologies such as Claude, Azure AI, and modern developer tooling to transform the way engineering teams build and deliver solutions.

Responsibilities
  • Design, build, and maintain secure, scalable, and resilient Azure cloud platforms.
  • Define platform architecture, governance, security, and operational standards.
  • Lead cloud transformation and modernization initiatives.
  • Drive platform reliability, observability, performance, and cost optimization.
Infrastructure as Code & Automation
  • Develop and manage infrastructure using Infrastructure as Code principles.
  • Build reusable infrastructure modules and deployment frameworks using Pulumi (preferred) or Terraform.
  • Automate provisioning, configuration, deployment, and operational processes.
  • Develop automation solutions using Python and cloud‑native services.
Dev Ops & CI
  • Design and implement enterprise‑grade CI/CD pipelines using Azure Dev Ops.
  • Create and maintain complex YAML-based deployment pipelines.
  • Establish engineering best practices across build, release, testing, and deployment processes.
  • Improve developer experience through automation and platform enablement.
  • Champion the adoption of AI‑assisted software engineering practices across technology teams.
  • Drive practical use of tools such as Claude, Azure AI, Git Hub Copilot, and other emerging AI technologies.
  • Identify opportunities to improve engineering productivity, code quality, documentation, testing, and operational efficiency through AI.
  • Establish governance, standards, and best practices for enterprise AI usage.
  • Coach and mentor teams on AI‑assisted development and modern engineering practices.
Technical Leadership
  • Provide technical leadership across platform, cloud, Dev Ops, and AI initiatives.
  • Mentor engineers and help develop technical capability across the organization.
  • Collaborate with architects, developers, security teams, and business stakeholders to deliver strategic technology outcomes.
  • Act as a senior escalation point for complex technical and architectural challenges.
What We're Looking For – Essential Experience
  • 15+ years of experience in Platform Engineering, Cloud Engineering, Dev Ops, Infrastructure Engineering, or Software Engineering.
  • Preference for candidates with 20–25 years of broader technology experience and a proven track record of enterprise‑scale delivery.
  • Strong experience designing and operating production cloud environments.
  • Advanced Infrastructure as Code expertise using Pulumi (highly desired) or Terraform.
  • Strong Python development and automation skills.
  • Experience delivering enterprise CI/CD and platform engineering solutions.
  • Excellent troubleshooting, problem‑solving, and technical leadership skills.
  • Experience with Azure AI, Azure OpenAI, Azure AI Foundry, or similar AI platforms.
  • Practical experience using AI‑assisted development tools such as Claude, Git Hub Copilot, Cursor, or equivalent.
  • Experience supporting application development teams using Angular, Node.js, and related technologies.
  • Azure certifications in Architecture, Dev Ops, or AI disciplines.
Why Join Us?

This is an opportunity to shape the future of cloud engineering and AI adoption within a modern technology environment. You’ll have the chance to influence architecture, engineering practices, platform strategy, and AI innovation while remaining deeply hands‑on with cutting‑edge technologies.

If you’re passionate about Azure, automation, Dev Ops, and helping organisations unlock the value of AI‑powered engineering, we’d love to hear from you.

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Position Requirements
10+ Years work experience
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