Senior DevOps Engineer

Anywhere in the UKFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 5+ years of current experience
Required Skills: PythonSQLBashGitKubernetesNginxAzureGrafanaPrometheusTerraformAnsibleHelm

5+ years of current experience at both design and hands-on levels with Azure cloud infrastructure
Professional experience with RBAC, key vault, VMs, VNETs, VPNs, NSGs, Git, Ubuntu WSL2, PowerShell, Azure CLI and Data platforms (SQL, ADF)
Kubernetes deployment and management experience, with associated toolsets such as Kubernetes CLI, Helm, terraform, packer and ansible
Network management within Kubernetes with NGINX, service mesh, policy management, WAF
Infrastructure monitoring with the Grafana stack (Loki, Prometheus, Tempo)
Scripting and automation with Bash and/or Python in addition to PowerShell
Experience in load/performance testing and tuning
Vulnerability management, such as Trivy or Kubescape
Azure Container registry management
Experience using AI-powered development tools (e.g., GitHub Copilot, Claude Code, Cursor) to improve engineering productivity
Experience with High Availability, DR/Business Continuity strategies
Strong problem-solving skills and logical troubleshooting approach
Required to join on call rotation (1 week in 4)

Implement and manage cloud resources to support SaaS application deployments which are designed to be scalable, secure, performant, manageable and cost effective
Ensure that all aspects of the implementation are scripted and repeatably deployable through Infrastructure as Code practices
Share the responsibility for maintaining clean, efficient CI/CD pipelines with Developers and QA
Use an established release process to release to Staging and Production environments, Bi-Monthly, outside of normal working hours
Share the responsibility for building observability into the platform with Developers, QA and Site Reliability Engineers using the Grafana stack
Identification and Resolution of platform and pipeline issues/problems as they occur as well as proactively looking to improve the reliability and performance
Work with security team to identify and resolve infrastructure vulnerabilities and deployment issues
Evaluate, integrate, and operationalize AI-powered tooling (e.g., AI coding assistants, agentic AI workflows) to accelerate development and deployment processes
Champion the responsible adoption of AI-assisted automation across the engineering organization
Engage with architects, product owners, and business stakeholders to translate requirements into infrastructure solutions

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