Software Engineer (Platform Team)

Location: San Francisco CA / Palo Alto CA (Hybrid 4 Days/Week In Office)

Company Stage of Funding: Series B AI Infrastructure GPU Marketplace Cloud Platform

Office Type: Hybrid (San Francisco & Palo Alto)

Salary: $170000 $250000 Base

Equity: Competitive Equity Package

Bonus: Competitive Total Compensation

Visa: Transfers Supported

Company Description

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

What You Will Do

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

Ideal Candidate Background

38 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

Strong Signals

Platform & Distributed Systems Signals

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

Engineering Signals

Strong Python expertise

PostgreSQL experience

Kubernetes experience

Docker experience

AWS or GCP experience

Terraform experience

Experience designing backend APIs

Strong system design fundamentals

Startup Signals

Early-stage startup experience

Series AC startup experience

Small team ownership experience

Demonstrated ability to operate autonomously

Significant ownership of technical systems

Experience building infrastructure from the ground up

Bonus Signals

Marketplace infrastructure experience

Auction engine experience

Pricing system experience

Resource allocation algorithms

Scheduling systems experience

Infrastructure automation expertise

Open source contributions

Strong operational mindset

Compensation & Benefits

Base Salary: $170000 $250000

Competitive Equity Package

Visa Transfers Supported

Opportunity to build foundational AI infrastructure

Significant ownership and autonomy

Direct exposure to company-wide strategic decisions

Small high-impact engineering team

Strong product-market fit and rapid growth

Exposure to AI cloud infrastructure and distributed systems

Opportunity to shape the future of GPU compute infrastructure

Why Join

This is an opportunity to build the infrastructure layer powering the next generation of AI applications.

Rather than working on isolated services youll own systems responsible for allocating orchestrating and managing compute resources that power real-world AI workloads.

Youll work on distributed systems marketplace infrastructure allocation algorithms platform reliability and cloud-scale backend services while helping define the future of AI infrastructure.

The role offers a rare combination of platform ownership distributed systems complexity startup velocity and meaningful technical impact.

If you enjoy building scalable backend systems solving difficult infrastructure problems and operating with high ownership this role offers exceptional scope and career upside.