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Raydar

Staff Software Engineer

Posted 15 Hours Ago
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In-Office
San Francisco, CA, USA
250K-320K Annually
Mid level
In-Office
San Francisco, CA, USA
250K-320K Annually
Mid level
Designs and owns low-latency backend systems for real-time products. The role drives performance, reliability, event-driven architecture, parallel processing, and fault-tolerant distributed systems on container orchestration platforms. It covers the full software lifecycle from design through production operations, collaboration across infrastructure and reliability, and contributions to machine learning systems and AI-enabled features.
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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 the design and architecture of core backend systems for a real-time product, taking features from first design through to live production. Contribute across the entire product in a compact, office-based engineering team, with emphasis on speed and resilience.

What you'll do

- Design and own core backend systems for low-latency, real-time services.

- Drive performance and reliability improvements using event-driven designs and parallel processing.

- Collaborate with a small engineering group and company founders across infrastructure, backend and reliability work.

- Deploy, operate and scale fault-tolerant distributed systems on container orchestration.

- Take features from initial design through to live production, often within days.

- Help build and refine machine learning systems that improve from ongoing feedback.


Requirements

What we're looking for

- At least 3 years of professional software engineering experience.

- Computer Science degree.

- Prior work building fast, time-sensitive backend or full-stack software.

- Strong database design and performance optimization skills.

- Solid grasp of how multi-node software stays available and recovers from failures.

- Hands-on history of carrying backend services from build through to running in production, with full accountability.

- Comfort owning design and architecture across an entire product.

- Familiarity with AI and large language models.

- Backend or full-stack experience rather than frontend work alone.

Bonus points

- Four or more years of experience.

- Background in creating or running machine learning models in live environments.

- Startup, founder or mid-size company experience, including after a large technology company.

- Python experience.

- A degree from a strong university computer science program.


Benefits

Compensation and benefits

- Base salary: USD 250K to 320K

- Equity

Location and work model

- San Francisco, California, United States

- On-site, 5 days a week

- Full-time

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