Senior Software Engineer (Full-Stack, Backend-Leaning)
About The Position
Senior Software Engineer (Full-Stack, Backend-Leaning) NYC (Hybrid) | Strong Base Salary + Competitive Equity Seed-stage |Real-world systems Our client is an early-stage, venture-backed startup rebuilding critical operational infrastructure in a large, overlooked industry. The problems are messy, workflow-heavy, and high-trust. The software matters. The Stack React + TypeScript Node.js Postgres AWS (Lambda, Fargate, S3, Cognito) Terraform GitHub Actions Datadog We ship fast, but we care about system design. The Role Youll: Build and own end-to-end features Design APIs and data models that wont collapse in 18 months Make architectural decisions alongside the founders Integrate AI into real production workflows (not just demos) Improve reliability and observability Help define engineering culture early Youll have meaningful input into: How we structure services How we deploy How we use AI internally and in-product What good looks like for engineering quality What Were Looking For 5–8 years experience shipping production software Strong backend fundamentals Experience owning systems, not just components Good product instincts Comfortable with ambiguity Bonus: Experience in regulated / operationally complex environments Experience integrating LLMs into real workflows Early-stage startup experience What This Is Small team (single-digit engineers) High ownership Direct founder collaboration Product with real-world constraints Infrastructure that must work What This Isnt A 50-engineer org with heavy process Feature factory work Pure ML research Hybrid NYC (2–3 days in person) If you like building durable systems in complex environments and want real ownership early — email us with a short intro and links to things youve built. If you need a confidential discussion or further information DM me here https://www.linkedin.com/in/perrybarrow/
Requirements
- 5–8 years experience shipping production software
- Strong backend fundamentals
- Experience owning systems, not just components
- Good product instincts
- Comfortable with ambiguity
Nice To Haves
- Experience in regulated / operationally complex environments
- Experience integrating LLMs into real workflows
- Early-stage startup experience
Responsibilities
- Build and own end-to-end features
- Design APIs and data models that wont collapse in 18 months
- Make architectural decisions alongside the founders
- Integrate AI into real production workflows (not just demos)
- Improve reliability and observability
- Help define engineering culture early
- How we structure services
- How we deploy
- How we use AI internally and in-product
- What good looks like for engineering quality
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
