Azure DevOps Engineer

Location: Primarily Remote (Preston / Farnham - 1 day per month)

Clearance: Active SC Clearance Required

Engagement: Permanent

Amber Labs is a cutting-edge technology consultancy delivering innovative digital transformation across the UK public sector. We bring together talented people, modern engineering practices and emerging technologies to solve complex challenges and deliver meaningful outcomes.

We foster a collaborative, inclusive and people-first culture where technical excellence, continuous learning and innovation are at the heart of everything we do.

Amber Labs is seeking an experienced Azure Dev Ops Engineer to support a programme focused on Artificial Intelligence (AI). This opportunity is ideal for a technically capable and dependable engineer with experience in Azure Dev Ops, cloud engineering and modern software delivery practices, ideally gained within an AI-focused programme or environment.

You will contribute to the development, deployment and ongoing improvement of engineering environments and delivery pipelines, working collaboratively with technical teams to support reliable, secure and scalable solutions.

We are looking for someone who combines strong technical capability with a resilient, reliable and personable approach, able to work effectively with stakeholders and colleagues across a collaborative delivery environment.

• Design, build and maintain CI/CD pipelines using Azure Dev Ops.
• Support the deployment, configuration and management of Azure-based environments.
• Enable the reliable and repeatable delivery of applications, services and AI-related solutions.
• Implement Infrastructure as Code (IaC) to support consistent and automated environment provisioning.
• Apply Dev Sec Ops  principles, embedding security and best practices throughout the software delivery lifecycle.
• Monitor, troubleshoot and resolve build, deployment and environment issues.
• Collaborate with software engineers, data specialists, AI teams and other technical stakeholders.
• Support the integration and deployment of AI and machine learning workloads where required.
• Improve automation, deployment processes and operational reliability.
• Maintain appropriate technical documentation and contribute to continuous improvement across engineering practices.
• Proven experience working as an Azure Dev Ops Engineer or in a similar cloud engineering role.
• Strong practical experience with Azure Dev Ops, including pipelines, repositories and automated build and release processes.
• Experience with Microsoft Azure cloud services and cloud-based infrastructure.
• Understanding of Infrastructure as Code and configuration management.
• Experience with scripting and automation, such as Power Shell, Bash or Python.
• Knowledge of source control, branching strategies and modern software delivery practices.
• An understanding of security, governance and Dev Sec Ops  principles.
• Experience working on an AI programme or supporting AI-related technology delivery.
• Must hold active SC (Security Check) clearance.
• A resilient, reliable and personable approach, with strong communication and collaboration skills.
• Ability to work independently in a primarily remote environment while maintaining effective engagement with the wider team.
• Experience supporting AI, machine learning or data science workloads within Azure.
• Familiarity with Azure Machine Learning or other Azure AI services.
• Experience with containerisation technologies such as Docker and Kubernetes.
• Knowledge of monitoring, logging and observability tools.
• Experience working within UK Government or other security-sensitive environments.
• Familiarity with Agile delivery methodologies and cross-functional engineering teams.

This is a primarily remote opportunity
, with attendance required at either the Preston or Farnham location approximately one day per month
.

Candidates must hold active SC clearance and be comfortable working collaboratively within a remote-first delivery team.

• Work on innovative technology programmes involving AI and modern cloud engineering.
• Join a collaborative, people-focused consultancy that values technical excellence.
• Contribute to meaningful digital transformation initiatives.
• Work alongside talented professionals in a supportive and forward-thinking environment.

You'll join a consultancy where ownership, curiosity and collaboration are central to how we work. Our teams work on programmes where quality,…