ВеликобританияDevOps Engineer
5 дн. назад
ВеликобританияMiddleRemote
azurekubernetesci/cdinfrastructure automationcloud-native monitoring
Mid-Level DevOps Engineer working on infrastructure solutions, automation, and platform stability with Azure and Kubernetes.
Обязанности
- Our UK team is excited to welcome a Mid-Level DevOps Engineer to join our growing Managed Services team at . In this role, you’ll work closely with application and platform engineers to design, deploy, and support reliable infrastructure solutions for our clients.
- We’re looking for someone with a strong foundation in Azure, Kubernetes, and modern DevOps practices — particularly in building and managing CI/CD pipelines, infrastructure automation, and cloud-native monitoring. This is a hands-on role ideal for someone who enjoys problem-solving, automation, and contributing to platform stability and performance.
- Deploy, configure, and maintain Docker containers and Azure Kubernetes Service (AKS) clusters using automated pipelines.
- Manage and operate Azure infrastructure including VMs, networking, storage, IAM, Key Vault, and S ecurity G roups .
- Build and maintain CI/CD pipelines using Azure DevOps , including release workflows and infrastructure automation.
- Monitor /Logging system performance using tools like Elastic Agent , Prometheus , Azure Monitor , and Grafana .
- Collaborate with development and client teams to implement robust, scalable DevOps solutions.
- Ensure service reliability through SLA/SLO/SLI tracking and proactive issue resolution.
- Provide on-call support on a rotational basis for high-priority incidents.
- Continuously improve system architecture, automation, and operational processes.
- Stay current with industry best practices and evolving cloud-native technologies.
Будет плюсом
- Scripting experience with Bash , PowerShell and Python
- Kubernetes certification (CKA, CKAD) is a plus.
- ITIL knowledge or experience in service management is beneficial
- Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy:
Другое
- AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.
- Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.
- We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.
- At least 2 years of hands-on experience with Azure and Kubernetes (AKS) in production environments.
- Strong knowledge of Docker, container orchestration, and Kubernetes core components (e.g., Pods, PVs, Services , ConfigMap , DNS, networking).
- Proven experience with Azure services including storage, virtual machines, networking, IAM, and security configurations.
- Solid understanding and usage of CI/CD tools (especially Azure DevOps ) with the ability to write pipelines stages in YAML .
- Experience with Logging and observability tools: Elastic Agent, Prometheus, Azure Monitor, and Grafana.
- Comfortable with both Linux and Windows environments.
- Familiar with version control systems, especially Git.
- Experience with Infrastructure as Code using Terraform and Helm.
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
- Fluent in English.
- Have or meet UK Enhanced Security checks to support clients of national importance.