Backend / Full-Stack Software Engineer (0–1 Years Experience)
About the Job Step into an early-career role where you’ll build and scale backend systems that unify fragmented data and modernize legacy, on-prem software into reliable, secure APIs. This is a fully onsite, in-office role (5 days/week) on a fast-paced, high-ownership engineering team.
What’s in it for you?
$130K – $160K salary
0.05% – 0.20% equity
Fully onsite (5 days/week, in-office)
Visa sponsorship available (TN, OPT, H1B transfer)
Healthcare: 90% of healthcare costs covered (multiple plan options)
401(k): 100% match on contributions up to 4% of annual salary
Relocation: sizable relocation bonus (if currently outside the Bay Area)
On-site gym (Peloton, squat rack, Tempo, yoga setup, and more)
Daily dinner stipend (DoorDash) + stocked kitchen (coffee, snacks, drinks)
What You’ll Be Doing
Build and scale high-throughput backend services handling millions of API requests/day
Design system-agnostic solutions for complex features (e.g., filtering, pagination, authentication ) across many integrations
Connect modern cloud services to older on-prem systems (SQL/DLL/API-based), including real-time communication patterns
Create efficient storage, retrieval, and caching layers to reduce latency and improve reliability
Ship improvements frequently, iterating quickly based on real customer feedback
Strengthen operational excellence through testing frameworks that catch edge cases across large endpoint surfaces
Contribute across the stack when needed, including internal front-end apps that dog-food your APIs
What You’ll Need
0–1 years experience as a back-end and/or full-stack software engineer
Ability to work independently with high ownership and low ego
Recent experience at a Seed/Series A–D tech startup (or currently only pursuing startup roles)
BS in Computer Science (no bootcamps), from a top 30 US/Canada undergrad program
Familiarity with cloud infrastructure (e.g., AWS)
Strong interest in backend systems and scaling fundamentals (this role is not primarily LLM/AI-focused )
Consistent tenure (avoid frequent job-hopping) and a clear record of excellence in school, startups, or standout accomplishments
Ready to Make an Impact? Build high-scale systems that simplify complexity and unlock real value for customers—fast. ]]><
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