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Reed Reedcouk · Posted 8d ago

DevOps Engineer

County Durham GBP 45000-60000 / year Permanent Remote

Permanent Reedcouk
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Indexed description

We’re supporting a North East–based, tech-driven organisation that’s continuing to invest in its engineering platform following a wide-ranging digital transformation. With the core platform now live, the emphasis has moved to strengthening, securing, and scaling a modern cloud environment.

This role sits within an experienced platform team and offers genuine ownership across Azure, Kubernetes, and automation. It’s well suited to someone who enjoys working close to production systems and improving how things run day to day.

The role

You’ll play a key part in shaping and running the cloud platform, with responsibilities including:

  • Building and evolving Azure cloud infrastructure with a focus on security, availability, and cost efficiency
  • Managing environments through Infrastructure as Code (Terraform, ARM/Bicep, YAML)
  • Taking full ownership of production Kubernetes (AKS), including Helm and configuration management
  • Creating and improving CI/CD pipelines using Azure DevOps
  • Supporting monitoring, reliability, and operational readiness
  • Working alongside engineers to embed better DevOps and platform practices
  • Contributing to security, observability, and continuity planning

What they’re looking for

  • Proven experience in an Azure-focused DevOps or platform engineering role
  • Hands-on Terraform experience used in live environments
  • Strong Kubernetes knowledge, ideally supporting production workloads
  • Familiarity with the Azure Cloud Adoption Framework
  • Comfortable owning systems end-to-end rather than working in narrow silos
  • A collaborative approach and willingness to get stuck in

Useful additions (not essential)

  • DevSecOps exposure
  • Cloud cost management / FinOps awareness
  • Understanding of .NET / C# based platforms
  • Scripting with PowerShell, Bash or Python
  • Experience with observability and monitoring tools
  • Interest in using AI tools to improve engineering productivity

Working setup & culture

  • Hybrid working with a flexible, trust-based approach
  • Supportive, inclusive environment with strong peer recognition
  • A team that values autonomy, learning, and continuous improvement

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