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David Careers

Backend Engineer

Posted 5 days ago

virco talentMillbrae (CA)
Software DevelopersCustom Computer Programming Services

SENIORITY

Lead

SALARY

$160,000 per year

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About the role

Backend Engineer
Location: San Francisco, CA (On-site)
Employment Type: Full-time Compensation: $160,000 – $220,000 base + equity (0.1%–0.3%)
Position Overview: An innovative, AI-driven technology organization is seeking a Backend Engineer to help build the next generation of real-time, intelligent user research platforms. This role focuses on developing scalable backend systems that support advanced voice-to-voice interactions, real-time data streaming, and AI-powered insights. The ideal candidate is highly technical, thrives in fast-paced environments, and is comfortable owning projects end-to-end—from concept through production deployment. This is a high-impact opportunity to work closely with executive leadership and directly influence product and technical strategy.
Key Responsibilities:
  • Collaborate closely with executive leadership on technical strategy and product direction
  • Design, develop, and optimize backend services, APIs, and data processing systems
  • Build and maintain real-time data streaming infrastructure
  • Contribute to the development and improvement of in-house AI/LLM-based systems
  • Lead engineering projects from initial concept through deployment and scaling
  • Ensure system performance, scalability, and reliability in production environments
  • Engage with users to gather feedback and continuously improve product functionality
Required Qualifications:
  • 3–10 years of experience in software engineering, with a focus on backend systems
  • Proven experience building and maintaining production-grade applications
  • Strong proficiency in backend development using Python and frameworks such as Django
  • Experience with relational databases (e.g., PostgreSQL)
  • Hands-on experience with AWS or similar cloud platforms
  • Demonstrated ability to take ownership of projects and deliver end-to-end solutions
  • Comfortable working in ambiguous, fast-moving environments
Preferred Qualifications:
  • Experience with real-time data streaming or distributed systems
  • Familiarity with WebRTC or real-time communication technologies
  • Exposure to AI/ML infrastructure or Large Language Models (LLMs)
  • Prior experience in startup or high-growth environments
Work Environment: On-site role with an expectation of approximately 80–100% in-office ????Flexibility available for commuting considerations
Additional Information: Equity participation included Visa sponsorship is not available for this role

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