DevOps Engineer

About the role

Roboyo 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.

ABOUT THE ROLE

Our UK team is excited to welcome a Mid-Level DevOps Engineer to join our growing Managed Services team at Roboyo. 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.

KEY RESPONSIBILITIES

- 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 Security Groups.

- 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.

REQUIRED SKILLS AND EXPERIENCE

- 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.