Staff Software Engineer: Fleet Automation Architect

Nscale; United States; On-site; USD 220,000 - 320,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible PTO

Parental leave

Retirement plan participation

Job summary

Nscale is seeking a Staff Software Engineer to build Fleet Manager, the workflow automation platform that provisions, tests, and remediates GPU nodes and network switches at scale. You will own domain-level architecture for distributed Python services and drive reliability and observability across the fleet.

The role blends infrastructure automation, workflow orchestration, and hardware lifecycle management, with opportunities to leverage AI tools to accelerate delivery while maintaining

Qualifications

• Extensive experience designing, building, and operating distributed systems in production.
• Strong proficiency in Python — Fleet Manager is built entirely in Python.
• Strong understanding of event-driven and workflow architecture, including reliable delivery, idempotency, retries, replay, and failure handling.
• Track record of delivering automation systems from ambiguous requirements to production.
• Ability to lead ambiguous technical work across team boundaries and drive domain-level delivery.

Responsibilities

• Own domain-level technical direction for a Fleet Manager domain.
• Design and build production-grade automation in Python.
• Engineer for reliability, idempotency, resumability, and auditability.
• Integrate Fleet Manager with DCIM/NetBox and bare-metal provisioning tools.
• Establish patterns and runbooks for scalable, maintainable software.
• Own production outcomes with strong observability and incident response.
• Mentor teammates and promote best practices.
• Use AI to accelerate delivery while maintaining architectural coherence.

Skills

Python

Distributed systems

Event-driven

Leadership

AI tooling

Tools

NetBox

MAAS

Ironic

PXE

Kubernetes

Job description

Nscale is seeking a Staff Software Engineer to build Fleet Manager, the workflow automation platform that provisions, tests, and remediates GPU nodes and network switches at scale. You will own domain-level architecture for distributed Python services and drive reliability and observability across the fleet.

The role blends infrastructure automation, workflow orchestration, and hardware lifecycle management, with opportunities to leverage AI tools to accelerate delivery while maintaining