DevOps Engineer

We’re looking for a Dev Ops Engineer to join a fast-growing team building advanced AI and machine learning infrastructure. This role focuses on developing and maintaining scalable cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads.

• Design and maintain scalable cloud infrastructure for distributed computing and ML workloads
• Build and optimise CI/CD pipelines to enable reliable deployments and automated testing
• Manage containerised environments using Docker and Kubernetes
• Develop infrastructure as code using tools such as Terraform, Cloud Formation, or Pulumi
• Monitor system performance, implement alerting/logging, and troubleshoot production issues
• Collaborate with engineering teams to improve performance, scalability, and cost efficiency
• Implement security best practices and ensure high availability of production systems

• Degree in Computer Science, Engineering, or similar, or relevant industry experience
• Experience with cloud platforms (AWS, GCP, or Azure)
• Strong knowledge of Docker, Kubernetes, and container orchestration
• Experience with Infrastructure as Code and CI/CD tools (e.g., Git Hub Actions, Git Lab CI, Jenkins)
• Familiarity with monitoring tools such as Prometheus or Grafana
• Scripting experience (Python, Bash, or similar)
• Experience supporting ML, GPU, or high-performance computing environments is a plus