DevOps engineer for AI

Amber Labs is a fast-growing UK technology consultancy delivering digital transformation across enterprise, government and regulated sectors. We specialise in cloud, data, software engineering, user-centred design and AI, helping organisations deliver better services through modern technology and agile ways of working. We are supporting the establishment of a new AI Centre of Excellence within a major UK organisation and are looking for an experienced Senior DevOps Engineer

• Design, develop and maintain CI/CD pipelines using GitLab CI/CD to enable reliable, automated software and infrastructure deployments.
• Build, manage and optimise containerised applications using Docker, deploying and operating workloads on Azure Kubernetes Service (AKS).
• Develop and maintain Infrastructure as Code using Terraform, creating reusable modules for provisioning and managing Azure infrastructure.
• Configure and maintain AKS environments, ensuring workloads are secure, scalable, resilient and aligned with engineering standards.
• Implement secure configuration, secrets management and access controls using Azure Key Vault, Microsoft Entra ID and role-based access control (RBAC).
• Support Azure networking and hybrid connectivity, including virtual networks, hub-and-spoke architectures, private endpoints and connectivity between on-premises services and cloud environments.
• Ensure infrastructure and deployment pipelines align with Azure Landing Zone standards, enterprise security policies and governance requirements.
• Collaborate with Data Engineers and MLOps Engineers to deliver reproducible, reliable and auditable infrastructure supporting data pipelines and AI/ML workloads.
• Implement and maintain monitoring, logging and observability capabilities using tools such as Azure Monitor, Prometheus and Grafana.
• Support platform orchestration services, including Apache Airflow, and help maintain reliable integration between platform components.
• Troubleshoot complex infrastructure, deployment and production issues, identifying opportunities to improve reliability, performance, security and automation.
• Contribute to architecture discussions, reusable platform patterns and technical standards, championing DevOps best practices across the engineering team.

• Strong commercial experience in a DevOps, Cloud Engineering, Platform Engineering or Infrastructure Engineering role.
• Extensive hands-on experience with Microsoft Azure and enterprise cloud infrastructure.
• Proven experience designing, building and troubleshooting CI/CD pipelines, ideally using GitLab CI/CD.
• Strong experience with Docker and deploying containerised applications to Kubernetes, ideally Azure Kubernetes Service (AKS).
• Practical experience with Infrastructure as Code, particularly Terraform, including the development and maintenance of reusable modules.
• Good understanding of Azure Landing Zones, cloud governance, networking, virtual networks, RBAC and hybrid connectivity.
• Experience managing secrets, application configuration and identity controls using Azure Key Vault, Microsoft Entra ID or equivalent technologies.
• Understanding of secure container image build, scanning, storage and distribution processes.
• Experience with Git-based version control and modern DevOps practices, including automated testing and deployment.
• Knowledge of monitoring, logging and observability practices, using tools such as Azure Monitor, Prometheus and Grafana.
• Strong troubleshooting skills, with the ability to investigate complex infrastructure and deployment issues across multiple environments.
• Understanding of cloud security, compliance, operational resilience and cost optimisation.
• Excellent communication and collaboration skills, with the ability to work effectively alongside architects, developers, data specialists and AI/ML engineers.
• Будет плюсом: Experience with GitOps delivery practices and tools such as Argo CD; Experience deploying and managing applications using Helm; Exposure to Red Hat OpenShift or other enterprise Kubernetes platforms; Experience with container registries such as Harbor or Nexus; Familiarity with HashiCorp Vault or equivalent secrets management technologies; Experience working in restricted, highly regulated or air-gapped environments; Exposure to Apache Airflow and data platform orchestration; Experience supporting MLOps, machine learning pipelines or AI-enabled applications in production; Experience with hybrid cloud connectivity and enterprise networking solutions; Participation in architecture reviews, technical governance forums or proof-of-concept processes; Relevant Azure, Kubernetes or DevOps certifications; A relevant degree in Computer Science, Software Engineering, Cloud Computing or a related discipline, or equivalent practical experience

• 25 days annual leave plus public holidays.
• Private medical insurance with Bupa.
• Remote-first working with access to our London office.
• Personal training budget.
• Perkbox membership.
• Electric Vehicle Scheme after one year.
• Employer pension contributions.
• Regular team socials.
• Referral scheme offering up to £3,000.
• The opportunity to contribute to a new AI Centre of Excellence, helping build the cloud infrastructure and engineering capabilities that enable innovative data and AI solutions.
• The chance to work with modern cloud-native technologies, influence engineering standards and collaborate with multidisciplinary teams on complex technical challenges.