P
Pave
Senior Software Engineer (Core Platform)
Skills
Google Cloud PlatformReactNodeTypescriptMySQLMachine LearningAI
1 month ago
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Important information
Contract type:
Permanent
Salary:
$195,500 – $264,500 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
11 September 2026
What they need
- The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence
- In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization
- Our stack includes: TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP
Benefits
- Commute: Commuter pre-tax benefit accounts + employer contribution for full-time employees
- Compensation: Startup equity for full-time employees
- Food: All meals while working, plus snacks. We take our snacking seriously
- Tech: Choose your laptop and accessories of choice
- Team: Retreats, happy hours, and events for our team, friends, and family
- Flexible Time Off: Take the time you need - we encourage our team to unplug with unlimited PTO
- Wellness: Top tier health insurance along for full-time employees
- WFH Wednesday: A dedicated work from home day each week + additional flexibility by team!- 5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
- Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
- Experience leading large technical projects with high ambiguity and numerous stakeholders
- Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind
- Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus
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