Why this role is exciting:
\nJoin an early-stage startup with proven product-market fit, hundreds of paying customers, and strong recurring revenue.
\nSolve hard technical problems in a massive, underserved industry by building real-time integrations across legacy systems.
\nWork on core backend infrastructure, scaling distributed systems, and developing APIs that unify fragmented data.
\nHave high impact immediately—your work goes straight into production and affects real business outcomes.
\nShape the engineering culture in a small, high-output team with low ego and flat hierarchy.
\nIdeal Candidate:
\nEducation: Undergraduate CS degree from a top 30 US/Canada school
\nExperience:
\nRecent experience at a small tech startup (Seed–Series C)
\nComfortable working independently on backend systems
\nFamiliarity with cloud infrastructure (AWS preferred)
\nSoft Skills: Self-motivated, high ownership, low ego, thrives in fast-paced environments
\nIn-person readiness: Excited to work onsite in San Francisco
\nTraits/Profiles to Avoid:
\n5 years experience
\n\nPrimarily AI/LLM-focused
\nLong tenure in big tech or consulting/finance
\nContract-only experience
\nGraduate degrees or bootcamp graduates
\nJob-hopping (<1 year per role)
\nNo undergraduate CS degree
\n\n
Why Candidates Love It:
\nOpportunity to own critical infrastructure and shape system architecture
\nWork on real, high-scale engineering challenges
\nCollaborate with experienced founders and engineers from high-performing startups
\nMake immediate impact on a product that hundreds of paying customers rely on
\nSend this job to your inbox!
Software Engineer – Early-Stage Tech Startup
Location: San Francisco, CA – Onsite 5 days/week
Seniority: 0–5 years (Backend/Full-Stack)
Salary: $130K–$240K + Equity 0.05%–0.20%
Visa Sponsorship: Yes (TN, OPT, H1B Transfer)
Why this role is exciting:
Join an early-stage startup with proven product-market fit, hundreds of paying customers, and strong recurring revenue.
Solve hard technical problems in a massive, underserved industry by building real-time integrations across legacy systems.
Work on core backend infrastructure, scaling distributed systems, and developing APIs that unify fragmented data.
Have high impact immediately—your work goes straight into production and affects real business outcomes.
Shape the engineering culture in a small, high-output team with low ego and flat hierarchy.
Ideal Candidate:
Education: Undergraduate CS degree from a top 30 US/Canada school
Experience:
Recent experience at a small tech startup (Seed–Series C)
Comfortable working independently on backend systems
Familiarity with cloud infrastructure (AWS preferred)
Soft Skills: Self-motivated, high ownership, low ego, thrives in fast-paced environments
In-person readiness: Excited to work onsite in San Francisco
Traits/Profiles to Avoid:
5 years experience
Primarily AI/LLM-focused
Long tenure in big tech or consulting/finance
Contract-only experience
Graduate degrees or bootcamp graduates
Job-hopping (<1 year per role)
No undergraduate CS degree
Why Candidates Love It:
Opportunity to own critical infrastructure and shape system architecture
Work on real, high-scale engineering challenges
Collaborate with experienced founders and engineers from high-performing startups
Make immediate impact on a product that hundreds of paying customers rely on
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