Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. As a Staff Software Engineer on the Backend Infrastructure team, you will build and maintain the infrastructure for serving our legal AI platform at scale. We are looking for software engineers with past infrastructure experience building large-scale distributed systems who are excited to build the foundational infrastructure for a fast-growing startup.
Key reasons to join Harvey:
- Exceptional product market fit: Partnered with largest law firms and professional service providers like A&O and PwC.
- Strategic investors: Raised over $200 million from Google Ventures, Sequoia, Kleiner Perkins, and OpenAI Startup Fund.
- World-class team: Hiring top talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, and Glean.
- Partnerships: Direct collaboration with OpenAI to build the future of generative AI.
- Performance: $0-20M ARR in the last 12 months.
- Value: Top of market cash and equity compensation.
Responsibilities:
- Build and deploy a globally-redundant distributed system with 1000+ servers using Kubernetes and 20+ other tools/services.
- Scale infrastructure to handle billions of requests and petabytes of data per month.
- Ensure infrastructure adheres to NSA-level security constraints.
- Debug production issues across services and multiple levels of the stack.
- Enable faster engineering by setting up standards, tooling, and processes.
Qualifications:
- 5+ years of experience building and scaling distributed systems.
- Deep understanding of infrastructure-layer software systems.
- Strong attention to detail and ability to anticipate potential issues.
- Track record of shipping high-quality products.
- Strong programming skills and general Computer Science knowledge.
This role is based in San Francisco, CA, with an in-person work model. Relocation assistance is offered to new employees. Harvey is an equal opportunity employer committed to diversity and inclusion.