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Raydar

Senior Full-Stack Software Engineer

Posted 5 Days Ago
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In-Office
San Francisco, CA, USA
200K-270K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-270K Annually
Senior level
Lead full-stack software features from discovery through deployment and refinement. Build machine-learning workflows with human review, user interfaces for operations and analytics, APIs, databases, server-side logic, and browser applications. Engage directly with business clients to define requirements, make product tradeoffs, launch new product areas, and support rollouts. The role requires startup experience, production LLM feature delivery, and a hybrid schedule with four days per week in the San Francisco office.
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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. Design and deliver software features across the full stack, carrying work from early requirements through release and later improvements. The role also involves regular contact with business clients to shape what gets built and how it is rolled out.

What you'll do

- Lead substantial features from early discovery and requirements gathering through live deployment and later refinement.

- Build automated multi-step workflows that combine machine learning tools and data services, with human review built in.

- Design user interfaces for operations tooling, reporting, analytics and configuration.

- Engage directly with business clients to grasp their requirements and turn them into practical technical plans.

- Write dependable production code for server-side logic, programming interfaces, data storage and browser-based front ends, using mainstream web languages.

- Start new product areas, grow existing offerings and guide clients through rollouts.


Requirements

What we're looking for

- 5+ years of experience as a software engineer.

- Prior experience launching a product from its earliest stage to live use by customers.

- Background at a fast-paced, high-growth startup.

- Strong educational background.

- Proven delivery of machine learning features built on large language models that real users depend on.

- Comfort working on both the browser side and the server side of a web application.

- Experience building APIs and working with databases.

- Comfort weighing product tradeoffs and speaking with users directly.

- Comfortable with a hybrid schedule that keeps most of the week on site.

Bonus points

- Experience in financial services or other regulated industries.

- Exposure to tools that schedule and coordinate multi-step processes.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 270,000 per year

- Equity

- Health coverage and retirement plan matching

- Flexible time off and holidays

Location and work model

- San Francisco, California, United States

- Hybrid, 4 days in-office

- Full-time

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