Senior Software Engineer

• →Own significant systems and features end-to-end, from design through production and day-to-day operation
• →Build and operate large-scale distributed systems, choosing and combining the right technologies for the problem
• →Take hard, ambiguous problems and drive them to shipped outcomes, owning reliability, performance, and cost
• →Build AI-native agent systems used at scale

Tech stack: React, Ruby/Rails, Python, MongoDB, Elasticsearch, GCP/K8s (with Kafka and Terraform in the mix)

• 5–8 years in backend or full-stack engineering, centered on building large-scale distributed systems
• Hands-on experience at a startup, an AI-native company, or in an early/founding-engineer setting
• A track record of owning and operating high-scale distributed systems (100K+ users)
• Clear growth in scope and responsibility over your career, rather than staying flat at the same level
• Strong system-design ability for large-scale data and distributed systems
• Currently at (or recently from) a well-regarded, high-growth engineering organization, with a strong database background or experience building LLM-powered systems
• Comfortable working across Ruby/Rails, Python, and MongoDB or Elasticsearch
• Based in the SF Bay Area and able to work hybrid, three days a week on-site

• A CS degree from a strong program (weighted less heavily if you have 5+ years of strong experience)
• Day-to-day use of AI-assisted development tools such as Copilot or Cursor

• Location: San Francisco, CA
• Work policy: Hybrid — 3 days/week in office
• Compensation: $170K–$311K + equity
• Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
• Employment type: Full-time