Incendia Partners

Compensation

Full Description

Senior Software Engineer – Enterprise Architecture & AI-First Infrastructure (Remote) Location: REMOTE, Prefer EST or CST based candidates Stage: Early-stage, high-impact, well-funded Team: Lean, sharp, and building for real enterprise scale Benefits / Compensation: • Base Salary: $185,000 - $225,000, with flexibility above for the right candidate. • Medical: Comprehensive medical coverage through Aetna (via Rippling PEO), including multiple PPO and HSA plan options. • Company covers 100% of employee-only premiums on the HSA plan and contributes to the HSA. • On other medical plans, company covers 75% of employee-only premiums (capped) and 25% of family premiums. • Dental & Vision: Guardian dental (multiple PPO options) and VSP vision coverage. • Retirement: 401(k) with employer match. • Life Insurance: $50,000 employer-paid base life insurance, with voluntary supplemental life options available. • Additional Voluntary Benefits: Hospital, critical illness, and accident insurance available through Voya. The most forward-thinking engineering teams aren’t just using AI to assist with code — they’re building autonomous agents that generate production-ready pull requests end-to-end. Our client is building in that direction. They are a venture-backed proptech infrastructure company creating a large-scale, enterprise-grade ELT and integration platform that connects fragmented real estate systems into a unified data layer. Their current product is revenue-generating and stable — now they’re scaling for large, multi-billion-dollar enterprise customers. They’re hiring a Senior Engineer to help lead both: • Enterprise system architecture • AI-powered developer infrastructure This is not a feature-only role. They need someone who has designed and operated production-grade, distributed systems — and who is excited about AI transforming how software gets built. If your reaction to autonomous coding agents isn’t “that’s scary” but “how do I build that?” — keep reading. What You’ll Do: • Architect and scale a production-grade ELT/data integration platform • Own AWS infrastructure across compute, networking, and data services • Build features in Python and TypeScript/Node • Design internal AI agents that can generate tested, production-ready PRs • Integrate AI into CI/CD and developer workflows • Help establish AI-first engineering standards across the team • Major bonus points for devs who have worked at a place like Fivetran or Airbyte What They’re Looking For: • 7+ years of engineering experience • Deep experience with distributed systems and enterprise-scale infrastructure • Strong AWS background • Proficiency in Python and/or TypeScript • Actively using AI coding tools today — and excited about what’s next • High ownership mindset; comfortable in a small, fast-moving team If you want architectural ownership, meaningful scale, and to help define what AI-first engineering actually looks like — let’s talk. #LI-DK1 #LI-Remote