DevOps engineer for AI

Amber Labs; United States; Remote; USD 87,000 - 133,000; Full time

Benefits offered by this job

Private medical insurance with Bupa

Remote-first with London office access

Personal training budget

Perkbox membership

Electric Vehicle Scheme after one year

Employer pension contributions

Regular team socials

Referral scheme up to £3,000

AI Centre of Excellence participation

Modern cloud-native tech stack

Job summary

Amber Labs ищет опытного Senior DevOps Engineer для поддержки трансформации инфраструктуры и разработки в облаке. Вакансия подразумевает работу с Azure, AKS, Terraform и GitLab CI/CD, работу в удаленном формате с доступом к офису в Лондоне.

Требуется глубокий практический опыт построения CI/CD, контейнеризации и управления секретами. Уделяется внимание вопросам безопасности, управляемости и взаимодействия с инженерами данных и ML-специалистами.

Qualifications

• - Широкий опыт работы в DevOps/Cloud Engineering/Platform Engineering
• - Практический опыт Azure и корпоративной облачной инфраструктуры
• - Доказанный опыт проектирования и устранения проблем в CI/CD, желательно GitLab CI/CD
• - Опыт работы с Docker и Kubernetes (AKS)
• - IaC с Terraform, создание модулей
• - Понимание Azure Landing Zones, сетей, RBAC и гибридной связности
• - Опыт управления секретами через Azure Key Vault и Entra ID
• - Безопасность контейнеров, сканирование образов и хранение
• - Опыт работы с мониторингом и логированием (Prometheus, Grafana, Azure Monitor)
• - Отличные коммуникационные и коллаборативные навыки

Responsibilities

• - Проектирование, разработка и поддержка CI/CD пайплайнов (GitLab CI/CD)
• - Управление контейнеризированными приложениями на Kubernetes (AKS)
• - Разработка и поддержка инфраструктуры как кода (Terraform)
• - Настройка и поддержка AKS-окружений, обеспечение безопасности и масштабируемости
• - Управление секретами и доступами через Azure Key Vault и Entra ID
• - Поддержка сетей Azure и гибридной связности
• - Соответствие стандартам Azure Landing Zone и политикам безопасности
• - Взаимодействие с дата-инженерами и MLOps для инфраструктуры данных
• - Мониторинг/логирование (Azure Monitor, Prometheus, Grafana)
• - Обеспечение надёжности платформ и автоматизации развертываний
• - Участие в архитектурных обсуждениях и стандартахDevOps

Skills

Коммуникационные навыки

Решение проблем

Сотрудничество в команде

Опыт DevOps

Education

Степень в CS / Software Engineering / Cloud Computing

Tools

Azure

AKS

GitLab CI/CD

Docker

Kubernetes

Terraform

Azure Key Vault

Entra ID

RBAC

Azure Monitor

Prometheus

Grafana

Job description

Описание: 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

Задачи:

• 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.

Требования:

• 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

Условия:

• 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.