RADAR is an AI-powered retail intelligence platform that combines proprietary overhead sensors, software, and analytics to deliver real-time, item-level inventory visibility.
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 QA Engineers to build automated QA infrastructure and get their hands dirty with geolocation testing. This role will cover our backend, frontend, desktop apps, mobile SDKs, and data platform. The ideal QA engineer is someone who is obsessed with never breaking customers, heavily leverages automation and AI as a means to an end to achieve that outcome, integrates this automation seamlessly into our SDLC, and goes the extra mile with field testing of our geolocation software when needed. This role is integral in setting up our engineering team for success by ensuring quality in everything we develop. The perfect candidate will see themselves as a generalist who is ultimately motivated by driving impact to products and customers through QA systems. 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 stack includes Kotlin, Objective-C, and Swift. We also have thin cross-platform SDK wrappers for React Native, Flutter, Capacitor, and a few others. Our desktop apps are written in Swift and C#. The frontend is React and Next.js deployed to Vercel. The API layer is a Node.js TypeScript app. Our main backend service is a geospatial database written in Rust that we call HorizonDB. Everything is deployed to AWS via Kubernetes on EKS using Terraform . 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. - There is a range of how much engineers use AI. Most use it daily if not weekly. - We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards. The hiring process: After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match. What you’ll do: - Work on core Radar test infrastructure and full-stack features across our mobile SDKs, desktop apps, server APIs and frontend web experiences. - Improve existing automated test suites to enable others to more easily write robust tests that integrate with our CI/CD process, and accelerate development overall. - Use AI to increase automation and end-to-end QA as part of our SDLC. - Help shape the Platform and SRE roadmaps to support test automation, parallelization, and general infrastructure and devex improvements for the engineering team. - Leverage SaaS QA products where useful, with a strong understanding of build-vs-buy. - Embody our "Walk a mile" value by walking around to QA and debug the Radar SDKs. - Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful. - Take pride in assuring the quality of our software running on 300M+ devices. You should: - Have experience building QA automation infrastructure at scale across mobile, backend, desktop and frontend. - Demonstrate strong expertise with coding and infrastructure tools. - Are interested in talking to customers or prospects and making them successful. Bonus points if you: - Are a former technical co-founder or otherwise thrive in startup environments You’ll work with: - Nick Patrick https://www.linkedin.com/in/nicholaspatrick/, Co-Founder and CEO - Tim Julien https://www.linkedin.com/in/timjulien/, CTO - Leo Kim https://www.linkedin.com/in/leokim/, VP Engineering, Platform - Our customers and prospects - Our Customer Success, Sales Engineering, and Sales teams What we offer: - Competitive salary - Meaningful stock options in a fast-growing company - 401(k) pla