System Engineer

Job Description

About the Role

• As a System Software Engineer focused on data center infrastructure, you will be responsible for the reliability, scalability, and performance of extremely large compute environments supporting advanced AI and machine learning workloads.
• You’ll work at the intersection of software reliability, distributed systems, and physical infrastructure – helping operate and evolve high-density compute clusters used for large-scale model training and experimentation. This is a deeply technical, hands-on role in a fast-moving environment, collaborating closely with teams across hardware, networking, and software.

Key Responsibilities

• Own the reliability, availability, and performance of on-premises and cloud-based compute environments, including GPU-accelerated clusters
• Design, build, and operate monitoring, logging, and alerting systems to ensure high observability and fast incident response
• Develop and maintain infrastructure-as-code and automated deployment pipelines
• Participate in on-call rotations, incident response, root cause analysis, and post-incident improvements
• Analyse system performance, forecast capacity, and optimise resource utilisation for large-scale distributed workloads
• Partner with hardware, networking, and platform teams to design resilient and scalable systems
• Create and maintain technical documentation and operational runbooks
• Identify and remove bottlenecks across compute, storage, and networking layers to improve overall system efficiency

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
• 5+ years of experience in site reliability engineering, infrastructure engineering, or large-scale systems operations
• Strong expertise in Kubernetes (on-prem and/or cloud), infrastructure-as-code tools, and CI/CD systems
• Proficiency in at least one systems programming language (e.g. Go, Rust, C++) and strong automation/scripting skills
• Deep understanding of monitoring, alerting, and observability practices
• Proven ability to troubleshoot complex issues spanning hardware, networking, and distributed software systems
• Hands-on experience with incident response, post-mortems, and preventative engineering
• Clear written and verbal communication skills

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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