Backend Software Engineer (Distributed Systems / Python)

Glint Tech Solutions LLC•San Francisco, CA

17h•$170,000 - $250,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.