Staff / Principal Product Engineer, Security

About Radar

Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.

Why is Radar the best place to work?

• We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.

• We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.

• We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.

• We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.

• We recently moved into an amazing new office in Flatiron, Manhattan, NYC.

• We were recently named a top 10 best place to work in NYC by Crain's.

Despite our growth and scale, we're still just getting started. That's where you come in.

About the role:

We're looking for Application Security Engineers to extend the security of the Radar application. Our daily traffic is 1 Billion API calls / day (15,000 requests / second) so you will be operating at scale. Some of the most sophisticated fraudsters in the world target our Protect product, which is where you come in. The application surface area is multi-stack, covering mobile SDKs, web SDKs, web dashboard, server APIs, and the Radar Verify desktop apps for Mac and Windows. This role can either be in our NYC HQ or remote in the US.

How we work:

Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.

We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning.

To us, a week is a long time, and we expect to ship big things every week.

The stack:

• Our mobile SDK stack is Objective-C/Swift, Kotlin, and cross platform wrapper SDKs for React Native, Flutter, etc

• Our Desktop app stack is Swift on mac and C# on Windows

• Our Frontend stack is React

• The API layer is a Node.js TypeScript app

• Our main backend service is a geospatial database written in Rust that we call HorizonDB.

• Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Iceberg, Metabase, Python, Redis, MongoDB, and Kubernetes

• Everything is deployed to AWS via Kubernetes on EKS using Terraform

• Most engineers are in the on-call rotation

• We sponsor OpenStreetMaps, MapLibre, and OpenAddresses

How we use AI:

• Engineers choose what AI tools they use, Claude and Codex being the most popular.

• We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.

• All code changes are reviewed by an Engineer knowledgeable in that area. Claude and C