Engineering Manager, Platform

About the role

About Radar

Radar https://radar.com 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 a hands-on Engineering Manager to lead our Platform Engineering team. At Radar, Platform Engineering is a software and systems engineering team that solves foundational scale challenges - building the core application frameworks, high-throughput distributed systems, and data infrastructure that power our global geolocation engine. Our daily traffic is 1 Billion API calls / day (15,000+ requests / second), so you will be operating at scale in helping our engineers deliver features quickly and at high quality. You will help us build, operate, and secure Radar’s infrastructure, developer platform, and data systems in order to make Radar the most reliable and trusted location platform in the world. This role can either be in our NYC HQ or remote in the US.

The stack:

- The API layer is a Node.js + TypeScript app.

- We ship SDKs for iOS, Android, React Native, and more https://docs.radar.com/sdk/sdk.

- Our main backend service is a geospatial database written in Rust that we call HorizonDB https://radar.com/blog/high-performance-geocoding-in-rust.

- We use MongoDB, S3/Athena, Redis, and Airflow.

- Everything is deployed to AWS via Kubernetes on EKS using Terraform .

- We use Terraform to manage our infrastructure.

- We deploy everything to AWS via EKS.

- We use MongoDB deployed to Atlas.

- We do CI and deployments via CircleCI.

- We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty.

- 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 Codex also review all PRs.