Principal Cloud Platform Engineer

📋 Description

• Define and own the technical roadmap for core ML infrastructure: workflow orchestration on
• Make the critical design calls and evaluate new technologies, from orchestrators and serving
• Lead and mentor a team of 3 to 4 mid-level and senior ML systems engineers, and own technical
• Spearhead the highest-risk work yourself: multi-cloud GPU capacity strategy, foundational platform
• Write production Python for the hardest parts of the shared platform, and prototype new
• Establish and champion MLOps and AIOps best practice across the organisation, covering automation

🎯 Requirements

• 10+ years in software engineering, with at least 4 years focused on building and operating
• Proven experience leading technical projects and mentoring or managing a team of engineers.
• Deep, production-level expertise designing, building, and operating systems on Kubernetes
• Expert-level Python, and the distributed systems judgment to reason clearly about failure
• Hands-on experience building and managing cloud infrastructure on AWS and GCP with infrastructure
• Strong, practical grounding in modern software development practice: Git, CI/CD, monitoring

🎁 Benefits

• Quarterly wellbeing day off - Four additional days off a year as your "YOU" days
• Access to LinkedIn Learning
• Team Hackathons and Pitch-fests
• Wellbeing and technology allowance
• Annual flu vaccinations
• Nearmap subscription (of course!)