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.
We're growing rapidly and are looking for a talented Backend Software Engineer to help build the distributed systems that power our platform.
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Palo Alto / San Francisco, CA
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Hybrid/Onsite (4 days per week)
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Team is onsite in Palo Alto every Monday
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$170,000 – $230,000 base salary
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Exceptional candidates may be considered up to $250,000
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Competitive equity package
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Comprehensive benefits
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Design, build, and maintain highly scalable backend systems supporting real-time GPU allocation.
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Develop and evolve distributed services responsible for resource scheduling, reservation management, and capacity allocation.
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Build reliable backend infrastructure capable of handling concurrency, asynchronous workflows, and race conditions.
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Design and optimize pricing, allocation, and orchestration logic for large-scale distributed systems.
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Partner closely with cross-functional engineering teams to ensure efficient infrastructure utilization.
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Own projects from technical design through implementation, deployment, monitoring, and long-term maintenance.
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Improve platform reliability, resiliency, observability, and operational excellence.
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Build and maintain CI/CD pipelines, cloud infrastructure, and deployment automation.
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Participate in production on-call rotations and continuously improve operational tooling and runbooks.
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3+ years of professional backend software engineering experience (5–8 years preferred).
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Strong expertise building and maintaining production distributed systems at scale.
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Proven experience handling:
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Concurrency
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Race conditions
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Asynchronous request processing
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Distributed system reliability
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Strong proficiency in Python.
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Experience with PostgreSQL or other relational databases.
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Hands-on experience with Kubernetes and Docker.
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Experience deploying cloud-native applications on AWS and/or GCP.
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Familiarity with Infrastructure as Code tools such as Terraform.
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Strong understanding of software architecture, scalability, and production operations.
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Experience participating in system design and architecture discussions.
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Experience at Big Tech or VC-backed startups.
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Experience building marketplace platforms, auction engines, exchanges, reservation systems, billing platforms, or pricing engines.
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Experience with observability, monitoring, and production incident response.
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Strong understanding of distributed scheduling or orchestration systems.
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Comfortable contributing across multiple areas of the technology stack.
We're looking for someone who:
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Enjoys solving complex distributed systems problems.
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Has built and maintained production systems—not just prototypes or MVPs.
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Takes ownership from design through long-term operational support.
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Is comfortable working in a fast-paced startup environment.
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Can influence architecture while remaining highly hands-on.
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Thrives in collaborative, cross-functional engineering teams.
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Python
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PostgreSQL
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Kubernetes
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Docker
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AWS
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GCP
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Terraform
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CI/CD
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Distributed Systems
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Cloud Infrastructure
