Senior DevOps Engineer (Birmingham)

I am supporting a Medical AI company who are based in The Midlands and they are on mission to revolutionise Digital Pathology with intelligent, scalable, and high-performance tools that empower clinicians and researchers.

They are looking for a Senior DevOps Engineer to join their infrastructure team. In this role, you’ll be responsible for developing and maintaining systems that support their machine learning workflows, virtual infrastructure, and cloud-native environments. You should have strong experience in Kubernetes, Ceph, virtualization along with sound knowledge of networking and security principles.

Responsibilities

• Manage and scale Kubernetes clusters for infrastructure.
• Develop infrastructure automation using Python and tools like Ansible or Terraform.
• Monitor infrastructure health and performance using Prometheus, Grafana, and logs.
• Maintain and integrate identity provider system with OAuth/OIDC/LDAP
• Deploy and maintain Ceph clusters for distributed, fault-tolerant storage.
• Monitor and manage user identities and access permissions within cloud platforms using Cloud technologies such as Cloud IAM System and Cloud Intrusion Detection System.
• Set up and enforce networking policies: firewalls, NAT, VPN tunnels, and routing.
• Familiarity with virtualisation platform e.g. PVE, VMware
• Carry out Software and OS upgrades.
• Implement and manage CI/CD pipelines with Git-based workflows (GitOps).
• Document system architectures, playbooks, and standard operating procedures.
• Collaborate cross-functionally with engineering and research teams.

Experience

• General Programming Debugging Skill (irrespective of Programming Languages).
• 3+ years in DevOps, SRE, or system infrastructure roles. Strong experience with Kubernetes and container orchestration. Familiarity with: Grafana, Prometheus, ArgoCD
• Knowledge of infrastructure-as-code tools: Terraform, Ansible, or Helm.
• Knowledge of virtualisation and containerisation: clustering, storage configuration, and virtualization management.
• Understanding of networking fundamentals: firewalls, VPNs, NAT, VLANs, DNS, routing.
• Linux system administration experience, including shell scripting and performance tuning.

Nice to have:

• Certifications in Kubernetes, Ceph, or cloud technologies (AWS/GCP/Azure).
• Familiar with with ML infrastructure: Ray (KubeRay), MLFlow, KubeFlow, Nexus (Pypi) or model serving platforms.
• Familiar with Git, GitOps workflows to aid the Infrastructure-as-code
• Experience with service mesh technologies like Istio.
• Willing to dabble in Python

Benefits

• Competitive salary
• Long term incentives
• 25+ days holiday
• Clear development pathway

Following your application Joe Templeman, a specialist AI Recruiter will discuss the opportunity with you in detail.

He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.

This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Joe Templeman for any further information

Joe Templeman

Sales Manager – Artificial Intelligence

Email: jtempleman (at) barringtonjames.com