3 months ago
Base Salary
$140k - $280k/yr
Responsibilities
- Own core infrastructure including databases, AWS services, networking, and CI/CD.
- Build systems that support thousands of concurrent AI operations with sub-second response times and cost efficiency under load.
- Design observability for system errors and business-level silent failures.
- Orchestrate parallel agentic workloads reliably and cost-effectively as scale increases.
- Build tooling and abstractions that improve product engineering velocity.
- Own reliability through SLOs, on-call support, incident response, and post-mortems.
- Build evaluation infrastructure to measure improvements in AI outputs.
Requirements
- Software engineering experience focused on platform, infrastructure, or SRE work, with level determined during interviews.
- Proficiency in Python, TypeScript, Go, or a similar language.
- Production experience with AWS, Postgres, and observability tooling.
- Experience building systems and tooling relied upon by other engineers.
- Experience owning production systems at scale and responding when they fail.
- Based in San Francisco or willing to relocate.
- Preferred qualifications include experience orchestrating AI/ML workloads, agent frameworks, LLM inference infrastructure, voice AI, real-time systems, deep AWS experience with ECS, Lambda, RDS, and VPC design, and startup experience in hypergrowth companies.
Benefits
- Salary of $140,000–$280,000 depending on experience, plus performance bonuses and equity.
- San Francisco, in-office role; candidates must be based in San Francisco or willing to relocate.
- Monday–Friday schedule with a very early morning start and five days per week in the office.
- Uber commuter benefits.
- Breakfast, lunch, dinner, snacks, drinks, and coffee provided daily.
- Free gym membership.
- Health, dental, and vision insurance.
Tech Stack
Categories
About Harper
Harper is a commercial excess-and-surplus (E&S) insurance brokerage that places specialty coverage for businesses. It uses an AI-native tech stack—including Voice AI for intake—to move prospects from quoting through binding and ongoing service, earning brokerage commissions on written policies. The company is privately held and headquartered in San Francisco.