Staff Software Engineer

Posted 4 Days Ago
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San Francisco, CA, USA
In-Office
250K-320K Annually
Mid level
Professional Services • Consulting
The Role
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.
Summary Generated by Built In

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

Skills Required

  • At least 3 years of professional software engineering experience
  • Computer Science degree
  • Experience building fast, time-sensitive backend or full-stack software
  • Strong database design and performance optimization skills
  • Understanding of highly available, failure-recovering multi-node software
  • Experience carrying backend services from development through production operations
  • Ability to own design and architecture across an entire product
  • Familiarity with artificial intelligence and large language models
  • Backend or full-stack experience
  • Four or more years of experience
  • Experience creating or operating machine learning models in production
  • Startup, founder, or mid-size company experience, including experience after a large technology company
  • Python experience
  • Degree from a strong university computer science program
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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