Backend Software Engineer

• Design, build, and maintain highly scalable backend systems supporting real-time GPU allocation.
• Develop and evolve distributed services responsible for resource scheduling, reservation management, and capacity allocation.
• Build reliable backend infrastructure capable of handling concurrency, asynchronous workflows, and race conditions.
• Design and optimize pricing, allocation, and orchestration logic for large-scale distributed systems.
• Partner closely with cross-functional engineering teams to ensure efficient infrastructure utilization.
• Own projects from technical design through implementation, deployment, monitoring, and long-term maintenance.
• Improve platform reliability, resiliency, observability, and operational excellence.
• Build and maintain CI/CD pipelines, cloud infrastructure, and deployment automation.
• Participate in production on-call rotations and continuously improve operational tooling and runbooks.

• 3+ years of professional backend software engineering experience (5-8 years preferred).
• Strong expertise building and maintaining production distributed systems at scale.
• Proven experience handling:
• Concurrency
• Race conditions
• Asynchronous request processing
• Distributed system reliability
• Strong proficiency in Python.
• Experience with PostgreSQL or other relational databases.
• Hands-on experience with Kubernetes and Docker.
• Experience deploying cloud-native applications on AWS and/or GCP.
• Familiarity with Infrastructure as Code tools such as Terraform.
• Strong understanding of software architecture, scalability, and production operations.
• Experience participating in system design and architecture discussions., * Experience at Big Tech or VC-backed startups.
• Experience building marketplace platforms, auction engines, exchanges, reservation systems, billing platforms, or pricing engines.
• Experience with observability, monitoring, and production incident response.
• Strong understanding of distributed scheduling or orchestration systems.
• Comfortable contributing across multiple areas of the technology stack.

Ideal Candidate

We’re looking for someone who:

• Enjoys solving complex distributed systems problems.
• Has built and maintained production systems-not just prototypes or MVPs.
• Takes ownership from design through long-term operational support.
• Is comfortable working in a fast-paced startup environment.
• Can influence architecture while remaining highly hands-on.
• Thrives in collaborative, cross-functional engineering teams.

Technical Environment

• $170,000 - $230,000 base salary
• Exceptional candidates may be considered up to $250,000
• Competitive equity package
• Comprehensive benefits

We are building the next generation of AI infrastructure by making GPU computing more flexible, efficient, and accessible. Our platform enables customers to consume GPU capacity through real-time marketplaces, spot bidding, and flexible reservations-bringing cloud-scale infrastructure together with market-driven resource allocation.