Senior Software Engineer - Fleet Management (AI)

TL;DR

Senior Software Engineer (AI): Building and optimizing Python-based workflow automation systems for GPU node and network switch lifecycle management at scale, with an accent on device provisioning, burn-in testing, network configuration, and hardware health validation. Focus on designing foundational platform components, integrating with datacenter infrastructure, and driving technical strategy for reliability and operational excellence in distributed systems.

Location: Remote (Global)

Company

hirify.global is the GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.

What you will do

• Build Python-based workflow automation systems for GPU node and network switch lifecycle management at scale.
• Design foundational platform components with established software patterns.
• 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.
• Drive technical strategy for reliability, observability, incident response, and operational excellence.

Requirements

• 5+ years of software engineering experience building and operating production systems, with a focus on infrastructure automation or workflow tooling.
• Strong proficiency in Python.
• Proven ability to build distributed systems at scale, with an emphasis on infrastructure reliability, scalability, and security.
• Technical expertise in quickly understanding systems design tradeoffs and rapidly evolving software systems.
• Experience delivering automation systems from ambiguous requirements to operational systems in production, including day 2 operations (monitoring, incident response, performance optimisation).
• Excellent communication skills to build consensus with stakeholders.

Nice to have

• Experience with workflow orchestration tools like Temporal, Airflow, or Prefect.
• Hands-on experience with infrastructure tooling like DCIMs, NetBox, OpenStack, or ERP systems.
• Experience with bare metal provisioning and automation (MAAS, Ironic, IPMI, PXE boot, network automation).
• Experience building hardware lifecycle automation.
• GPU infrastructure experience (health monitoring, burn-in testing, cluster management).
• Deep knowledge of Kubernetes, Infrastructure as Code (Terraform, Pulumi), AWS, and GCP.

Culture & Benefits

• Collaborative, supportive, and innovative remote-first environment where contributions have a real impact.
• Highly competitive compensation package (base + equity) with reviews every 12 months.
• Opportunity to join a fast-growing tech startup and contribute to cutting-edge AI technology.
• Dynamic progression plan tailored to individual ambitions, with full support for growth.
• Human-First Flexibility, trusting hirify.globalrs with autonomy to shape their day around life's moments.