Peregrine Technologies
Senior Software Engineer, Foundations
New York, NY · Senior
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Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society's challenges with unprecedented speed and accuracy.
- Our Team As an engineering team, we believe strongly that empathy improves our solutions.
- Seeing how people use the product is a priority and the way we get to the right answer.
Responsibilities
- Desire and drive to own problems from design to production
- Experience taking projects from design through production rollout
- Ability to write robust, well-tested, and well-designed code that frequently gets deployed to users
Requirements
- Degree in Computer Science or a related field, or equivalent experience
Skills
- Contributing to a rewrite of a core datastore's underlying storage format and helping roll it out safely across environments
- Upgrading a major framework version within a heavily used service without introducing regressions
- Improving database connection-pooling to reduce outage risk
- Reducing a data-processing backlog's latency from hours to under a second
- Helping scale and tune our search infrastructure to keep pace with rapid data growth
- Participating in incident response and root-causing production issues
Compensation
- Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable)
Benefits
- You enjoy pairing, giving and receiving code review, and learning from teammates
This listing is sourced directly from Peregrine Technologies's careers page and normalized into a canonical job model.