DevOps Engineer

Reed Technology
Durham, County Durham, DH1 3NG, United Kingdom
Today
£45,000 – £60,000 pa

Salary

£45,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
21 Apr 2026 (Today)

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 planningWhat 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 inUseful 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 productivityWorking 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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