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DevOps Engineer
Job in
County Durham, Durham, Durham County, DH1, England, UK
Listed on 2026-06-04
Listing for:
Reed
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing, SRE/Site Reliability
Job Description & How to Apply Below
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 Dev Ops Supporting monitoring, reliability, and operational readiness Working alongside engineers to embed better Dev Ops and platform practices Contributing to security, observability, and continuity planning What they’re looking for Proven experience in an Azure-focused Dev Ops 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) Dev Sec Ops exposure Cloud cost management / Fin Ops awareness Understanding of .NET
/ C# based platforms Scripting with Power Shell, 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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