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Roboyo

DevOps Engineer

  • Remote
  • 0-3 years
  • English (C1)

Salary

Not stated

Similar roles pay £45K - 75K a year · our estimate

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Description

The company is the company AI, which works in Applied AI and Agentic Automation. It helps large enterprises turn automation projects and AI experiments into governed, production-grade systems that carry out real work across workflows, processes, products and services.

The company grew out of scaled enterprise automation and now focuses on Applied AI and Agentic Automation. Its work covers autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance built into client operations.

The UK team is hiring a mid-level DevOps Engineer for its growing Managed Services team. You will work alongside application and platform engineers to design, deploy and support reliable infrastructure for clients.

The role suits someone with solid Azure and Kubernetes skills and working knowledge of modern DevOps, especially CI/CD pipelines, infrastructure automation and cloud-native monitoring. It is hands-on work for someone who likes solving problems, automating tasks and helping keep the platform stable and fast.

Responsibilities

  • Deploy, configure and maintain Docker containers and Azure Kubernetes Service (AKS) clusters through automated pipelines.
  • Run Azure infrastructure, including VMs, networking, storage, IAM, Key Vault and Security Groups.
  • Build and maintain CI/CD pipelines in Azure DevOps, including release workflows and infrastructure automation.
  • Monitor system performance and logging with Elastic Agent, Prometheus, Azure Monitor and Grafana.
  • Work with development and client teams to build robust, scalable DevOps solutions.
  • Keep services reliable by tracking SLA, SLO and SLI measures and resolving issues before they escalate.
  • Take part in a rota providing on-call support for high-priority incidents.
  • Keep improving system architecture, automation and operational processes.
  • Keep up with best practice and changing cloud-native technology.

Requirements

  • You have at least 2 years of hands-on experience with Azure and AKS in production.
  • You know Docker, container orchestration and core Kubernetes components such as Pods, PVs, Services, ConfigMaps, DNS and networking.
  • You have proven experience with Azure storage, virtual machines, networking, IAM and security configuration.
  • You can use CI/CD tools, especially Azure DevOps, and write pipeline stages in YAML.
  • You have experience with logging and observability tools: Elastic Agent, Prometheus, Azure Monitor and Grafana.
  • You are comfortable working in both Linux and Windows.
  • You are familiar with version control, especially Git.
  • You have experience with Infrastructure as Code using Terraform and Helm.
  • You communicate well with both technical and non-technical stakeholders.
  • You are fluent in English.
  • You have or can obtain UK Enhanced Security checks, as the work supports clients of national importance.
  • You have scripting experience in Bash, PowerShell and Python.
  • Kubernetes certification (CKA or CKAD) is a plus.
  • ITIL knowledge or service management experience is beneficial.
  • The company is an equal opportunity employer and does not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Conditions

The role is based in the UK and is part of the Managed Services team.

On-call work runs on a rotating basis.

Where you’d work

Fully remote

You can work from

  • United Kingdom

About the company

Roboyo

  • Industry: AI

Also hiring in Berlin, Germany and Munich, Germany

2 of their 4 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

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2 red flags

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Details11 facts · Role, Location, Compensation, Company, Requirements
Tech stack
  • Python
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Helm
  • Prometheus
  • Grafana
Industry
AI
Specialty
DevOps
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Experience
2+ years
Tech stack
  • Python
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Helm
  • Prometheus
  • Grafana

Location

Work model
Remote
Region
United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
AI

Requirements

Languages
  • English (C1)

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