About the company
Our client is a technology company.
The role
Raydar is recruiting for this role on behalf of our client. Own the design and delivery of backend services for a data-heavy software platform, working directly alongside the founding team. The work spans high-volume data handling, workflow automation and third-party integrations, with full responsibility for architecture and implementation.
What you'll do
- Build and scale distributed backend services that handle large volumes of documents and transactional data.
- Own automation systems that interact with external web applications and portals.
- Design dependable infrastructure for mixed-format data, including scanned files, PDFs and both structured and unstructured records.
- Build orchestration, queuing, retry and monitoring tooling for long-running workflows that are prone to failure.
- Partner with research and product engineers to move new machine learning capabilities into production.
- Establish the engineering patterns that future team members will build on.
Requirements
What we're looking for
- At least 3 years of hands-on backend engineering, including responsibility for production systems that grew in scale and complexity.
- Time spent at an organization with a strong reputation for engineering quality.
- Practical background in building pipelines, coordinating multi-step jobs or working with very large, untidy datasets.
- Bachelor's or Master's degree in computer science, math or a related field.
- Solid knowledge of Python, microservices and distributed systems.
- Ability to architect and deliver backend systems from start to finish with little supervision.
- Genuine enthusiasm for a very small early-stage startup and a high-intensity pace.
- Based in or willing to relocate to the San Francisco area.
Bonus points
- Experience running LLMs or ML models in production.
- Experience with browser automation or complex integration work.
Benefits
Compensation and benefits
- Base salary: USD 160,000 to 200,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site
- In office 6 days per week
- Full-time
Skills Required
- At least 3 years of hands-on backend engineering experience
- Experience owning production systems that increased in scale and complexity
- Experience at an organization with a strong reputation for engineering quality
- Experience building pipelines, coordinating multi-step jobs, or working with very large, untidy datasets
- Bachelor's or Master's degree in computer science, mathematics, or a related field
- Solid knowledge of Python, microservices, and distributed systems
- Ability to architect and deliver backend systems independently from start to finish
- Enthusiasm for an early-stage startup and high-intensity work environment
- Based in or willing to relocate to the San Francisco area
- Experience running LLMs or machine learning models in production
- Experience with browser automation or complex integration work
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.
