About the company
Our client is a fast-growing financial technology company.
The role
Raydar is recruiting for this role on behalf of our client. Own backend engineering for a latency-sensitive platform, with a focus on risk logic, consistent state handling and fast APIs. The role is hands-on and performance-minded, and sits within a close-knit team that works side by side in person.
What you'll do
- Build and maintain risk management services that cope with volatile conditions and use capital efficiently.
- Design and implement state machines that support transaction processing, settlement and risk operations.
- Develop services that keep data consistent across asynchronous processes using coordination and consensus techniques.
- Ingest live data feeds and coordinate time-sensitive workflows across external systems.
- Create high-performance REST and WebSocket APIs with very fast response times.
Requirements
What we're looking for
- Production experience with Rust.
- A genuine, demonstrable interest in trading or financial markets.
- Comfort working with several database types, including relational, time-series and key-value.
- A track record of shipping server-side software where speed and heavy load matter.
- Hands-on experience with asynchronous programming.
- Prior experience working at a startup.
Bonus points
- Self-directed projects outside of work in a systems programming language.
- Background in latency-sensitive or trading software.
- Experience in fintech, trading or blockchain.
Benefits
Compensation and benefits
- Base salary: USD 185,000 to 300,000 per year
- Equity
- Medical, dental and HSA coverage
- Retirement plan with employer match
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
