Senior Software Engineer - Developer Platform

Pave, Inc.
  • New York, NY
  • $195,500–$264,500 Per Year
30+ days ago

Job Description

Who We Are

At Pave, we''re building the industry's leading compensation platform, combining the world''s largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.

The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

Developer Platform @ Pave

The Developer Platform team sits at the heart of Pave Engineering. Our customers are Pave''s own engineers. We treat developer experience as a product - the leverage layer that lets every team ship enterprise-grade software fast and reliably.

This is a high-impact, high-autonomy role where you''ll help define how Pave builds software. As a senior engineer, you''ll lead initiatives end to end - from setting CI/CD and observability standards to rethinking local development workflows and incident response - and you''ll define how AI-assisted and agentic workflows fit into Pave''s development loop, from scaffolding to review to deploy. You''ll partner closely with engineers across product and data to remove friction, boost developer velocity, and strengthen reliability. You''ll own the metrics for developer velocity and reliability, and be accountable for moving them.

What You''ll Bring

  • 4+ years of experience in backend, infrastructure, or developer experience.
  • High developer empathy - you love improving workflows and enabling others to move faster.
  • Proven ability to lead large, ambiguous projects with cross-team impact.
  • A track record of improving developer velocity with modern AI tooling - agentic coding, AI-assisted review/testing - and strong opinions on where it does and doesn''t help.
  • Solid understanding of cloud architecture (GCP or similar). A strong instinct for reliability and security - you understand that on a platform handling compensation data, speed cannot come at the cost of trust.
  • Strong debugging and systems-thinking skills, with experience scaling production systems.
  • Nice to Have: Experience building internal developer platforms in enterprise SaaS environments.

Our stack includes: TypeScript, Node.js, Orbstack, ClickHouse, Kubernetes, Terraform, GCP, Datadog, GitHub Actions, E2B, and Incident.io.

Compensation, It''s What We do.

Salary is just one component of Pave''s total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.

The targeted cash compensation for this position is (level depends on experience and performance in the interview process):

$195,500 - $264,500

Life @ Pave

Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management - giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we''re just getting started. Headquartered in San Francisco''s Financial District, with regional hubs in New York City''s Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom - wherever you''re based, you''ll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.

We run a hybrid culture that brings teams together in person 3 to 4 days a week - and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It''s one of the things people notice when they join us - that we truly enjoy spending time together.

Our culture is shaped by five values we live every day:

  • Be Intellectually Honest - Truth over comfort. We face reality clearly and speak directly, even when it''s hard.
  • Play to Win - We''re not here to participate. We''re here to be the #1 compensation platform in the world, and we act like it.
  • Uphold the Pave Platinum Standard - We hold ourselves to the highest bar - for our customers, our data, and each other.
  • One Team - We win and lose together. Titles don''t drive decisions here - shared goals do.
  • Hug of Jawn - Hard to define, impossible to miss. Ask your recruiter.

Our Vision: Unlock a labor market built on trust.

Our Mission: Build confidence in every compensation decision.

We build software that transforms how companies pay their people - and we believe the team behind that software deserves the same thoughtfulness. If you''re ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we''re solving, we''d love to meet you.

Still deliberating? Just apply! We''re always excited to meet people who are eager to contribute.

Numbers & Facts

LocationNew York, NY
Salary$195,500–$264,500 Per Year

Skills

  • Artificial Intelligence (AI)unmatched
  • Benchmarkingunmatched
  • Cloud Architectureunmatched
  • Compensation Analysisunmatched
  • Compensation Managementunmatched
  • Constructionunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Debugging Skillsunmatched
  • Expense Managementunmatched
  • Fast Foodunmatched
  • Fundingunmatched
  • GCP (Good Clinical Practices)unmatched
  • Hubsunmatched
  • Incident Responseunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Machine Toolunmatched
  • Metricsunmatched
  • Performance Analysisunmatched
  • Production Systemsunmatched
  • Scaffoldingunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Software as a Service (SaaS)unmatched
  • Training Data Setsunmatched

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