DevOps Engineer

Key Responsibilities

• Design, build and maintain infrastructure-as-code for our Sovereign AI platform using Terraform, Kubernetes and Docker.
• Define and establish processes and standards for infrastructure provisioning, deployment and security — as an early team member, you'll be shaping how things get done, not just following an existing playbook.
• Build and maintain CI/CD pipelines to support fast, reliable deployment of infrastructure and platform changes.
• Operate and improve the reliability, scalability and performance of our cloud and on-prem infrastructure.
• Implement monitoring, logging and alerting to support platform observability and operational readiness.
• Apply security best practices across the infrastructure lifecycle — from image/container hardening and vulnerability scanning to access control and secrets management.
• Support incident response and troubleshooting across infrastructure and deployment issues.
• Work closely with the Head of Sovereign AI Infra and the rest of the team to continuously improve automation, tooling and platform maturity.
• Contribute to securing AI/ML and high-performance computing (HPC) workloads as the platform evolves, including GPU infrastructure and model-serving environments.

Essential Experience

• 5–10 years of experience in a DevOps, Platform Engineering, SRE or DevSecOps role.
• Strong, hands-on Linux skills — comfortable operating, troubleshooting and optimising at the OS and systems level.
• Strong command of the open-source infrastructure ecosystem, with hands-on experience in Terraform, Kubernetes and Docker.
• Hands-on experience with AWS or GCP in a production environment.
• Experience building and maintaining CI/CD pipelines.
• Practical understanding of security fundamentals — vulnerability management, container/image hardening, access control, secrets management.
• Comfortable working in a small, fast-moving team where you're building and operating, not just designing.
• Demonstrated ability to define and introduce processes, standards or best practices from scratch, ideally in a startup or early-stage environment.

Highly Regarded

• Experience securing or deploying generative AI, AI/ML or high-performance computing (HPC) workloads.
• Experience with GPU infrastructure and related tooling.
• Contribution to open-source infrastructure or security tooling projects.
• Experience with observability stacks (e.g. Prometheus, Grafana), open source SIEM (Wazuh) and security scanning tools (e.g. Trivy, Snyk).
• Prior experience in an infrastructure-as-a-service or platform-as-a-service environment.