Principal Backend Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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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

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Principal Backend Engineer NYC ABOUT THE ROLE Heron processes millions of sensitive financial documents for some of the fastest-growing MCA Funders, Brokers, Insurers, and Fintechs in the US and UK. We're at a point where the volume, velocity, and complexity of the data flowing through our systems and is outgrowing the way they were originally built. We need someone who's done this before: taken a platform that works and made it scale. THE CHALLENGE We've built a document automation and workflow orchestration platform that lenders, funders and fintechs rely on to make real decisions. It's working, customers love it, and we're onboarding new ones faster than ever. The challenge is that our backend was built for speed-to-market, and now we need to make it built for scale. Concretely, that means: - Abstractions that let us move fast: The backend systems and patterns that let a 15-person engineering team ship product confidently without breaking things for existing customers. - Multi-tenancy at scale: Dozens of enterprise customers sharing the same cloud infrastructure, each with different data sensitivity requirements, SLAs, and integration patterns. - Data volume and velocity: High-throughput processing of financial documents (bank statements, tax returns, pay stubs) with ML pipelines that need to be fast, accurate, and reliable. - Security and compliance: Sensitive financial data handled to exacting standards. We're excited about this challenge because it is the kind of problem that shows up when things are going well! We're hiring this role because we couldn't be more confident in our

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