Platform Engineer
Heron Data - NYC
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Platform Engineer NYC Heron builds document automation for lenders, funders, fintechs and more: we process bank statements, tax returns, and financial applications so that financing decisions happen faster, more accurately, and at scale. We're hiring Platform Engineers to build the systems that make all of this work. THE PROBLEM Our platform processes millions of sensitive financial documents for customers. As we onboard more lenders and expand into new verticals, the systems underneath need to get better, not just bigger. That means: - Reliability at scale: Our customers handle large volumes of documents and data, and we operate at the core of their business. When they process an application through Heron, it needs to work every time. You'll build the infrastructure that ensures our backend stays fast and reliable as volume grows. - Developer experience: We have a ~15-person engineering team shipping features across multiple product lines. You'll build the internal tools, abstractions, and platform primitives that let product engineers move fast without breaking things. - Product thinking (yes, even for internal tools): You're building for an internal audience (namely our pre-sales and post-sales teams, and other engineers), but you treat it like a product. That means understanding what we are trying to achieve for customers, designing intuitive tooling that makes that easy to do, and then iterating based on 'customer' feedback. - Security and compliance: This is critical to our customers - sensitive financial and deal data must be handled to exacting standards. This isn't an afterthought; it's a core
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