High-growth infrastructure company focused on delivering large-scale compute, data centre capacity, and power solutions for advanced machine learning workloads. Platforms support leading research and industry teams requiring high-performance computing at significant scale. Fast-paced environment with emphasis on ownership, execution speed, and quality. Culture centred on pragmatic problem-solving, cross-functional collaboration, and full lifecycle responsibility.

Role Overview:

• Position operating across software, infrastructure, and operations to ensure reliability, scalability, and performance of a globally distributed compute platform.
• Close collaboration with networking, platform engineering, and physical infrastructure teams to design and operate systems supporting high-demand computational workloads.
• Hands-on engineering role requiring strong systems expertise, with responsibility for resolving complex production issues, improving system resilience, and enhancing platform observability.

Responsibilities

• Deployment and management of large-scale compute clusters using automation tooling, with adaptation to customer requirements
• Validation and optimisation of compute, storage, and networking systems in coordination with internal teams and vendors
• Execution of large-scale data migrations between cloud and on-premise environments with focus on efficiency and cost
• Troubleshooting across the full stack, including hardware, networking, and distributed systems
• Development of internal tooling and automation to improve deployment speed, reliability, and operational efficiency

Participation in an on-call rotation required (approximately one week per month).

Key Attributes

• Strong ownership mindset with focus on delivery and accountability
• Experience building maintainable, well-documented systems in complex environments
• Ability to operate effectively in ambiguous and rapidly evolving contexts
• Clear and effective communication skills with collaborative, low-ego approach

Minimum Requirements

• 5+ years of experience in site reliability engineering, DevOps, systems administration, or high-performance computing
• Strong written and verbal communication skills in English
• Experience deploying and operating container orchestration or workload scheduling systems (e.g. Kubernetes or similar)
• Programming or scripting experience in Go, Python, or Bash
• Familiarity with infrastructure automation and infrastructure-as-code tools
• Strong technical foundation in computing or related discipline

Preferred Experience

• Experience operating large-scale machine learning or AI-compute workloads
• Background in multi-tenant distributed systems at scale
• Hands-on experience with data centre or bare-metal infrastructure
• Knowledge of high-performance networking technologies
• Experience managing large-scale storage systems (commercial or open-source)

Compensation & Benefits

• Competitive salary and equity package
• Retirement or pension contributions aligned with local standards
• Health coverage including medical, dental, and vision
• Generous paid time off policy