Senior SRE - AI Infra, UK Visa Sponsorship, London

NewsNowGh; Cambridge; On-site; GBP 80,000 - GBP 100,000; Full time

Job summary

A pioneering AI company is seeking a highly experienced Site Reliability Engineer to enhance the reliability and scalability of its AI platform. This role, based in England, offers visa sponsorship for international professionals. You will design and maintain resilient infrastructure, collaborate with software engineers, and drive improvements in monitoring and operations. Ideal candidates have a Master's degree and 7+ years in SRE or DevOps, with strong skills in cloud platforms and infrastructure tools. This is an excellent opportunity to work in a leading AI firm with global impact.

Qualifications

• 7+ years of experience in SRE, DevOps, or similar roles in distributed systems environments.
• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code tools.
• Solid knowledge of observability stacks, networking, security, and system administration.

Responsibilities

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructure.
• Ensure high availability of inference and training environments across HPC clusters.
• Implement and improve monitoring, alerting, logging, and incident management systems.
• Drive infrastructure-as-code, deployment, and orchestration.
• Work with security teams to ensure compliance with best practices.

Skills

Cloud platforms

Reliability engineering practices

Docker

Kubernetes

CI/CD pipelines

Scripting or programming (Python, Go, Bash)

Observability stacks

Networking

System administration

Education

Master’s degree in Computer Science, Engineering, or a related field

Tools

Terraform

Job description

A pioneering AI company is seeking a highly experienced Site Reliability Engineer to enhance the reliability and scalability of its AI platform. This role, based in England, offers visa sponsorship for international professionals. You will design and maintain resilient infrastructure, collaborate with software engineers, and drive improvements in monitoring and operations. Ideal candidates have a Master's degree and 7+ years in SRE or DevOps, with strong skills in cloud platforms and infrastructure tools. This is an excellent opportunity to work in a leading AI firm with global impact.