Engineering Manager
US$200,000 – US$300,000 / yr base salary
Posted 30 Jul 2026
Advertised as “Engineering Manager, Site Reliability”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$200,000 – US$300,000 / yr |
|---|
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?
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We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
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We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
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We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
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We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
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We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
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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 an Engineering Manager to lead a distributed SRE team to work on our production infrastructure. You will be responsible for supporting a team and driving a roadmap that makes Radar’s services scalable and highly available worldwide. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region.
The stack:
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.
DNS is managed by CloudFlare.
Most engineers are in the on-call rotation.
Our main server languages are TypeScript and Rust.
Our data pipelines are written in Airflow and Scala Spark.
We sponsor OpenStreetMaps, MapLibre and OpenAddresses.
How we use AI:
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Engineers choose what AI tools they use, Claude and Codex being the most popular.
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We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.