Senior Software Engineer - Fleet Management

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.  Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

At Nscale, our Software engineers form the backbone of our product offering. We build state of the art AI products allowing our clients to move quickly in an increasingly competitive digital landscape.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future

About the Role

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

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