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Senior Platform Architect – AI & Enterprise Infra (ETL, Python/TS/Node)

  • Category
    Software Development
  • Location
    Boston, Massachusetts
  • Type
    Direct hire
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:
  1. Enterprise system architecture
  2. 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.

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David Kerr
Partner
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