Senior Software Engineer - Infrastructure / Platform

Location: San Francisco, CA (In-Person)

Compensation: $250K-$350K Base + Equity + Benefits

Stack: Python, distributed systems, cloud infrastructure, event-driven architectures, data platforms, workflow orchestration, AWS/GCP, messaging systems, and large-scale AI infrastructure.

TLDR

• Our client is building critical infrastructure and data systems that support some of the most advanced AI development efforts in the industry, operating at the intersection of data, evaluation, and frontier AI research.
• The company has achieved exceptional early traction, serving leading AI organizations with a small, highly technical team and rapidly scaling its platform capabilities.
• Engineers work on large-scale infrastructure challenges spanning data generation, evaluation systems, workflow orchestration, and high-throughput processing pipelines used to improve next-generation AI models.
• This role offers broad ownership across platform architecture, infrastructure strategy, and core systems that enable both engineering and research teams to operate efficiently at scale.
• Candidates will work closely with experienced founders and engineers while helping build foundational systems that directly influence the future of AI development.

Requirements

• Experience building and operating distributed systems, platform infrastructure, or large-scale backend services in production environments.
• Strong software engineering skills with Python, JavaScript/TypeScript, Go, Java, or similar backend technologies.
• Experience designing systems in cloud environments and supporting high-throughput, data-intensive workloads.
• Strong understanding of asynchronous processing, event-driven architectures, messaging systems, and scalable platform design.
• Proven ability to own production systems end-to-end, including architecture, reliability, scalability, observability, and operational excellence.

Bonus Skills

• Experience building internal developer platforms, shared infrastructure, or self-service engineering tools.
• Experience supporting large-scale data processing systems, workflow orchestration, or distributed compute environments.
• Experience working with AI infrastructure, model evaluation systems, machine learning platforms, or research tooling.
• Experience at high-growth startups or other environments requiring rapid scaling and technical ownership.
• Strong systems design skills and experience influencing architecture across multiple teams or product areas.

Responsibilities

• Design and develop scalable infrastructure that powers data generation, evaluation systems, and large-scale platform workflows.
• Build reliable systems capable of supporting high-throughput workloads while maintaining strong performance and operational standards.
• Create reusable infrastructure, tooling, and platform capabilities that accelerate engineering productivity across the organization.
• Drive architectural decisions across data pipelines, orchestration systems, compute infrastructure, and storage platforms.
• Partner closely with engineering and research teams to enable new experimentation workflows and platform capabilities.
• Establish engineering standards, reliability practices, and operational processes that support long-term scalability.

About

• Our client is building foundational infrastructure that helps advance the development and evaluation of modern AI systems, supporting organizations operating at the forefront of machine learning research.
• Infrastructure Engineers own critical platform systems that enable large-scale data operations, experimentation workflows, and production services across the organization.
• This is a highly technical role with significant ownership, offering the opportunity to influence architecture, engineering practices, and long-term platform strategy from an early stage.
• The role provides deep exposure to distributed systems, AI infrastructure, large-scale data platforms, workflow orchestration, and the operational challenges associated with frontier AI development.