infrastructure
Posted Mar 8Senior Software Engineer - Infrastructure & Platform
at AfterQuery
San Francisco, United StatesOn-site
Responsibilities
- Develop scalable distributed systems - Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees.
- Build internal platforms and shared services - Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems.
- Optimize performance and reliability - Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale.
- Own infrastructure architecture - Help define long-term system architecture across data pipelines, compute infrastructure, task orchestration, and storage systems.
- Collaborate across engineering and research - Work closely with engineers and researchers to support new AI experimentation workflows and platform capabilities.
- Establish engineering best practices - Define standards for system design, deployment, reliability, and infrastructure operations. REQUIRED
Requirements
- We serve every frontier AI lab with the mission of delivering the best data to power the best models.
- This is a rare opportunity to join a company at a defining moment in AI.
- We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI and are based in San Francisco.
- You will be responsible for the shared platforms that enable our engineers and research teams to run large-scale human-in-the-loop workflows, evaluation harnesses, and automated data pipelines used to train frontier AI models.
- You will work directly with the founding team to define system architecture, establish engineering best practices, and build the infrastructure that supports the next generation of AI development.
- experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
- experience building production distributed systems or platform infrastructure - Proficiency in Python and/or JavaScript (Node.js / Next.js) or similar backend technologies -
- Experience designing and operating systems in cloud environments (GCP or AWS) -