Senior Software Engineer, Foundations

Peregrine Technologies•San Francisco, CA

6d•$200,000 - $250,000•Onsite

About The Position

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 AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally. 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. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves. The Foundations team consists of detail-oriented engineers driving innovation and enhancing performance through technical excellence and a focus on results. We own the performance and reliability of key pieces of Peregrine's infrastructure and take on hard technical problems that create new capabilities for the platform. We value both ownership and collaboration. You will take full responsibility for the features you own and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions — you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision. As a member of our Foundations team, you'll independently own well-scoped, meaningful projects that improve the reliability and performance of Peregrine's data platform; the systems that ingest, process, and enrich large volumes of customer data from a wide variety of sources, at high scale and low latency. You'll work within our datastores, orchestrated data pipelines, and the connection, authorization, and notification layers that keep the entire system efficient and secure — extending existing architectural patterns and proposing new ones where they're needed. You'll take on real technical challenges that meaningfully improve the quality, stability, or velocity of the team. Representative recent work at this level includes: 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 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 Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; and AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

Requirements

Degree in Computer Science or a related field, or equivalent experience
5+ years of professional software engineering experience
Experience working on distributed systems or data-intensive services (e.g. data pipelines, relational and search datastores, message queues)
Experience taking projects from design through production rollout
Experience shipping and iterating on production-grade software, professionally and/or in the open-source community
Ability to write robust, well-tested, and well-designed code that frequently gets deployed to users
Comfort navigating and contributing to large, established codebases
Comfort participating in incident response and helping resolve recurring failure patterns
Located in the San Francisco or New York area and open to working in office

Nice To Haves

Desire and drive to own problems from design to production
Passion for crafting and shipping software solutions that delight users
Comfortable digging into unfamiliar parts of the codebase and working through ambiguity
Collaborative. You enjoy pairing, giving and receiving code review, and learning from teammates
Eager to grow your technical scope and take on more complex problems over time

Responsibilities

Independently own well-scoped, meaningful projects that improve the reliability and performance of Peregrine's data platform.
Work within datastores, orchestrated data pipelines, and the connection, authorization, and notification layers.
Extend existing architectural patterns and propose new ones.
Take on technical challenges that meaningfully improve the quality, stability, or velocity of the team.
Contribute to a rewrite of a core datastore's underlying storage format and help roll it out safely across environments.
Upgrade a major framework version within a heavily used service without introducing regressions.
Improve database connection-pooling to reduce outage risk.
Build out a new piece of the platform's authorization system.
Reduce a data-processing backlog's latency from hours to under a second.
Help scale and tune search infrastructure to keep pace with rapid data growth.
Participate in incident response and root-causing production issues.