Backend Software Engineer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- USD 160,000–300,000 1 YEAR
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 3
“3+ years of software engineering experience building production-grade backend systems.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 160,000–300,000 1 YEAR
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
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Original job description
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Outset invented a better way to do research: AI-powered user interviews.
Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.
The research industry is massive (>$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.
Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025—less than six months after our Series A—led by Radical Ventures with participation from M12 (Microsoft’s venture arm), 8VC, Y Combinator, and Adverb Ventures.
The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.
We’re a tight-knit team serving some of the world’s largest enterprises.
What you will do:
Collaborate closely with the CTO and CEO on strategic technical decisions and product direction.
Design, develop, and optimize backend services, APIs, and real-time data processing infrastructure.
Implement and refine our in-house Large Language Model and real-time interview technology.
Lead projects from initial conception through production deployment, ensuring scalability and reliability.
Interface directly with users to gather feedback, understand pain points, and continuously improve our core product.
The ideal candidate will have:
3+ years of software engineering experience building production-grade backend systems.
Strong proficiency with Python and Django, including experience building robust APIs.
Extensive knowledge of SQL databases (Postgres preferred).
Experience deploying and managing services on AWS.
Bonus points for familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure.
Matched by role category. Review each posting’s requirements before applying.