Senior Data Platform Engineer — Scale & Reliability

Peregrine Technologies, Inc.; New York (NY); Hybride; USD 200 000 - 250 000; Plein temps

Résumé du poste

Peregrine Technologies is building an AI-enabled data platform serving public safety and government customers across states and countries. We seek an experienced software engineer to own meaningful, well-scoped projects that improve reliability, performance, and velocity of our backend data services.

As part of the Foundations team, you will work on ingestion, processing, and enrichment of large-scale data, collaborate with deployment and users, and contribute to incident response and

Qualifications

• 5+ years of professional software engineering experience.
• Experience with distributed data-intensive services (data pipelines, datastores, message queues).
• Experience taking projects from design through production rollout.
• Ability to write robust, well-tested, and well-designed code.
• Comfort navigating large, established codebases and incident response.

Responsabilités

• Contributing to a rewrite of a core datastore's underlying storage format and 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.
• Building out a new piece of the platform's authorization system.
• 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.

Connaissances

Software engineering

Distributed systems

Code reviews

Learning mindset

Formation

Degree in CS or related field

Outils

Python

Django

Kafka

PostgreSQL

AWS

Description du poste

Peregrine Technologies is building an AI-enabled data platform serving public safety and government customers across states and countries. We seek an experienced software engineer to own meaningful, well-scoped projects that improve reliability, performance, and velocity of our backend data services.

As part of the Foundations team, you will work on ingestion, processing, and enrichment of large-scale data, collaborate with deployment and users, and contribute to incident response and