About the job Backend Software Engineer (Distributed Systems / Python)
Location- Palo Alto / San Francisco, CA
- Hybrid/Onsite (4 days per week)
- Team is onsite in Palo Alto every Monday
Compensation- $170,000 - $230,000 base salary
- Exceptional candidates may be considered up to $250,000
- Competitive equity package
- Comprehensive benefits
What You'll Do- 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.
Required Qualifications- 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.
Preferred Qualifications- 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 CandidateWe'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- Python
- PostgreSQL
- Kubernetes
- Docker
- AWS
- GCP
- Terraform
- CI/CD
- Distributed Systems
- Cloud Infrastructure
