Staff Software Engineer

Staff Software Engineer – Fleet Management

A rapidly growing US-based technology company specialising in GPU cloud infrastructure is looking for a Staff Software Engineer to join its infrastructure engineering team.

The ideal candidate will have extensive experience building distributed systems, infrastructure automation and production platforms , with strong Python skills and experience managing large-scale compute, datacenter or hardware infrastructure.

The key skills required for the Staff Software Engineer:

• Extensive experience building and operating distributed systems in production
• Strong Python software engineering skills
• Experience with workflow orchestration, state machines or event-driven architectures
• Experience building reliable automation for infrastructure provisioning and lifecycle management
• Strong understanding of idempotency, retries, checkpoints, recovery and failure handling
• Experience with bare-metal infrastructure, server provisioning or hardware lifecycle management
• Experience with BMC, IPMI, Redfish, PXE, MAAS, Ironic or NetBox is highly desirable
• Experience with GPU infrastructure, AI clusters, HPC or datacenter environments is advantageous
• Strong Kubernetes, Terraform, Ansible or cloud infrastructure experience
• Experience with networking and network automation , particularly at datacenter scale
• Experience building health monitoring, validation, observability and automated remediation systems
• Experience integrating infrastructure platforms, APIs, monitoring systems, credential stores and DCIM tools
• Strong understanding of production reliability, scalability and security
• Staff/Principal-level technical leadership with experience influencing architecture across teams
• Experience using modern AI-assisted development tools such as Claude, Cursor or similar is desirable

The role will involve building and owning a Fleet Management platform responsible for provisioning, testing, monitoring and remediating GPU servers and network infrastructure at scale.

You will design Python-based workflows covering the complete hardware lifecycle, from device enrolment and BMC configuration through provisioning, multi-day burn-in, health monitoring and automated remediation .

The platform will need to support thousands of concurrent workflows , with strong guarantees around reliability, auditability, idempotency, resumability and failure recovery. You will work closely with infrastructure, hardware, networking and operations teams to build highly scalable systems powering next-generation AI infrastructure.

Key words: Staff Software Engineer / Principal Software Engineer / Infrastructure Engineer / Platform Engineer / Distributed Systems / Python / Workflow Orchestration / Event-Driven / State Machines / Fleet Management / Infrastructure Automation / Bare Metal / GPU / AI Infrastructure / Datacenter / Kubernetes / Terraform / Ansible / MAAS / Ironic / IPMI / BMC / Redfish / PXE / NetBox / Hardware Lifecycle / Provisioning / Network Automation / Observability / SRE / Automated Remediation / HPC / NVIDIA / AI

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