Senior Software Engineer

We're hiring a Senior Software Engineer to build our Fleet Manager platform — the workflow automation system that provisions, tests, and remediates GPU nodes and network switches at scale.

You'll build foundational Python-based automation systems that manage the entire lifecycle of our compute infrastructure: device enrolment, burn-in testing, network configuration, GPU health monitoring, and self-healing capabilities. This role is for someone obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement.

What you'll do

• Build workflow automation systems for GPU node and network switch lifecycle management at scale
• Design foundational platform components with established software patterns that others build on
• Implement device provisioning, burn-in testing, network configuration, and hardware health validation workflows
• Integrate with datacenter infrastructure management systems, cloud orchestration platforms, and bare metal provisioning tools
• Build distributed workflow orchestration systems to coordinate complex automation tasks across the fleet
• Drive technical strategy for reliability, observability, incident response, and operational excellence
• Partner with Infrastructure, Platform, and SRE teams to automate hardware lifecycle operations
• Use AI tools to accelerate delivery while maintaining architectural coherence

About you

• You have 5+ years software engineering experience building and operating production systems, with focus on infrastructure automation or workflow tooling
• Strong proficiency in Python (Fleet Manager is built entirely in Python)
• You are driven by building distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
• Technical expertise: quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
• You use AI tools like Claude or Cursor as a core part of your development workflow as a fundamental multiplier of what you can build
• You have delivered automation systems from ambiguous requirements to operational systems in production, with hands-on day 2 operations experience (monitoring, incident response, performance optimisation)
• Strong problem-solving skills and ability to work independently in a fast-paced, high-agency environment
• Excellent communication skills to build consensus with stakeholders, both internally and externally

Nice to have

• Experience with workflow orchestration tools like Temporal, Airflow, Prefect, or similar
• Hands-on experience with infrastructure tooling: DCIMs, NetBox, OpenStack, or ERP systems
• Bare metal provisioning and automation: MAAS, Ironic, IPMI, PXE boot, or network automation
• Experience building hardware lifecycle automation: provisioning, validation, testing, or remediation workflows
• GPU infrastructure experience: health monitoring, burn-in testing, or cluster management
• HPC and networking: datacenter topology, high-performance interconnects (InfiniBand, RoCE)
• Deep knowledge of Kubernetes, Infrastructure as Code (Terraform, Pulumi), AWS, and GCP
• Open-source contributions in infrastructure automation or cloud-native tooling