Software Engineer (Platform Team)

Recruiting From Scratch•San Francisco, CA

2d•Hybrid

About The Position

Our client is building the infrastructure layer that makes GPU compute more accessible, efficient, and affordable for enterprises, AI startups, and researchers. The platform enables organizations to access and allocate GPU capacity through intelligent marketplace and orchestration systems, helping customers scale AI workloads without the complexity of managing compute infrastructure directly. Backed by leading investors and experiencing rapid growth, the company sits at the intersection of AI infrastructure, cloud computing, distributed systems, and marketplace technology. The platform powers: GPU Capacity Allocation, AI Infrastructure Orchestration, Distributed Compute Systems, Marketplace & Auction Infrastructure, Capacity Reservation Systems, Cloud Resource Management, Enterprise AI Workloads, Pricing & Allocation Engines, Infrastructure Automation, Developer Platform Services. Engineering challenges include: Distributed systems at scale, Concurrency and race condition management, Real-time marketplace infrastructure, Capacity allocation algorithms, Reservation and scheduling systems, High-performance backend services, Infrastructure reliability and resiliency, Cloud platform architecture, Production system scalability, Operational excellence and observability. The company operates with a lean, high-impact engineering culture where engineers own critical systems and have direct influence on product and infrastructure decisions. The culture values: Ownership, Technical Excellence, Reliability, Speed, Collaboration, Product Thinking, Operational Excellence, Learning Velocity, Pragmatism, End-to-End Execution.

Requirements

3–8 years of software engineering experience
Strong backend or platform engineering experience
Experience building and operating distributed systems
Experience maintaining production systems at scale
Strong understanding of concurrency and asynchronous systems
Experience solving race condition and reliability challenges
Strong Python engineering experience
Experience with PostgreSQL or relational databases
Experience working with cloud infrastructure
Strong software engineering fundamentals
Experience designing and shipping backend APIs
Strong debugging and production troubleshooting skills
Ability to work effectively in fast-moving startup environments
Strong ownership mentality
Excellent communication and collaboration skills
Comfortable participating in on-call rotations

Nice To Haves

Built and scaled distributed systems in production
Experience with marketplace, auction, or exchange systems
Strong concurrency and async programming expertise
Infrastructure ownership experience
Reliability and resiliency engineering experience
Experience operating critical platform services
Strong Python expertise
PostgreSQL experience
Kubernetes experience
Docker experience
AWS or GCP experience
Terraform experience
Experience designing backend APIs
Strong system design fundamentals
Early-stage startup experience
Series A–C startup experience
Small team ownership experience
Demonstrated ability to operate autonomously
Significant ownership of technical systems
Experience building infrastructure from the ground up
Marketplace infrastructure experience
Auction engine experience
Pricing system experience
Resource allocation algorithms
Scheduling systems experience
Infrastructure automation expertise
Open source contributions
Strong operational mindset

Responsibilities

Build and evolve the core auction engine and bid management platform
Design systems that allocate GPU capacity using real-time marketplace dynamics
Own platform-level distributed systems and backend infrastructure
Develop reservation management and capacity allocation services
Design pricing and marketplace logic powering platform operations
Improve platform reliability, resiliency, and scalability
Solve concurrency, race condition, and distributed systems challenges
Build and maintain backend APIs and platform services
Contribute to CI/CD pipelines and deployment infrastructure
Manage cloud infrastructure and platform operations
Improve observability, monitoring, and operational tooling
Collaborate closely with engineering teams across supply and consumption systems
Participate in on-call rotations and production incident response
Build automation and operational tooling to reduce engineering toil
Ship features end-to-end from design through production deployment
Drive technical decisions across platform initiatives