Peregrine
As of 1 November 2026, Peregrine has 111 open roles (35 new in 30 days), its software engineering team is hiring most, and its postings name Python, Amazon Web Services and Terraform as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- San Francisco, California, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- law enforcement, corrections, fire-rescue
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
Peregrine in one screen
Read from peregrine.io: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Peregrine is a software company that provides an operational intelligence platform for public safety organizations, transforming disconnected data into actionable context. Its offerings include data ingestion and enrichment, forward deployed engineering, semantic ontology, intuitive interfaces with AI, and data governance. It serves law enforcement, corrections, fire-rescue, EMS, emergency management, and 911 agencies, operating in the US and UK.
Named on the site: law enforcement, corrections, fire-rescue, ems, emergency management, emergency services, public safety organizations.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 597 scored.
What Peregrine says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
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; machine learning models hostka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.ka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.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; machine learning models hostOur 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; machine learning models host
ka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.tantly 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; machine learning models hosted in Bedrock andOur 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; machine learning models hostOur 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; machine learning models host, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as ourt 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; machine learning models hosted in Bedrock and Sagemaker; and wiof Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.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; machine learning models hosted in Bedrock and SagemaVendors whose code loads on peregrine.io or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
111 open roles, 87 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in United States →
| open · new 30 d | |
|---|---|
| Software engineering | 27 · 6 |
| IT operations & business systems | 12 · 9 |
| Data & AI | 11 · 4 |
| Sales | 11 · 0 |
| Marketing & communications | 10 · 1 |
| Legal, compliance & risk | 9 · 3 |
| Customer service & success | 6 · 0 |
| Finance & accounting | 5 · 3 |
| Design & UX | 4 · 2 |
| Human resources | 4 · 1 |
| Product, program & project management | 4 · 2 |
| Business development & strategy | 2 · 0 |
| Engineering (non-software) | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Peregrine to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Peregrine
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 597 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Peregrine (San Francisco, United States, 51-200 employees) has 111 open roles, 35 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/peregrine.io)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from peregrine.io: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Peregrine: questions
Does Peregrine use Python?
Yes, by the company's own words: 36 postings name it, first seen 2022-04-11, in the software engineering team.
Is Peregrine hiring?
111 open roles as of 1 November 2026, 35 opened in the last 30 days and 5 closed. The largest team hiring is software engineering.
Where does this profile come from?
From peregrine.io itself: we crawled it on 2026-08-16, built the profile on 2026-08-17, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Peregrine?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 3 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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