Senior / Staff Product Engineer, Backend

Radarlabs — United States · Posted ~2 hours ago

Senior Full-time

Skills

Backend engineering Product engineering API development Geolocation technology Geofencing Scalable systems High-performance systems Node.js TypeScript MongoDB Redis AWS Kubernetes Terraform Rust Python APIs Geolocation Maps AI

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Summary ✨ AI‑Generated

Join a high-scale product engineering team extending the backend platform behind geolocation and location-aware technology. You will build and evolve core backend capabilities supporting more than one billion API calls per day, with opportunities to solve demanding problems across mapping, geofencing, AI-enabled applications, marketing, fraud prevention, and operations. The position is available at senior or staff level and offers substantial technical ownership.

Highlights

Extend a high-scale backend platform processing more than one billion API calls per day. The role offers significant technical ownership, work on core product infrastructure, and the opportunity to solve challenging problems involving geolocation, APIs, AI, marketing, fraud, and operations.

Description

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 Backend Product Engineers to extend the core Radar platform. Our daily traffic is 1 Billion API calls / day (15,000 requests / second) so you will be operating at scale. 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 The API layer is a Node.js TypeScript app. Our main backend service is a geospatial database written in Rust that we call HorizonDB. We use MongoDB, S3/Athena, Redis, and Airflow. 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 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: code screen, coding round, and system design round. 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 products using TypeScript, Rust, Python and ScalaWork on features across the backend API layer and offline pipelinesHave your work power 1 Billion API calls / dayTalk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You Should Think of yourself as a generalist engineer first, not tied to any particular stackAre interested in talking to customers or prospects and making them successfulAre deeply curious about how things work, and have the tenacity to sit with hard problems and power through them Bonus Points If You Are a former technical co-founderHave worked on a high throughput, high growth SaaS applicationHave worked on geospatial infrastructure You’ll Work With Nick Patrick, Co-Founder and CEOTim Julien, CTOOur customers and prospectsOur Customer Success, Sales Engineering, and Sales teams What We Offer Competitive salaryMeaningful stock options in a fast-growing company401(k) plan with 4% matchNew HQ in Flatiron, NYCTop-notch equipmentCatered lunchesUnlimited PTOHealth, dental, and vision insurance with 100% coverage for employees12 weeks of paid parental leaveCommuter and fitness benefits We’ll share full details of our benefits package at the offer stage. Benefits may vary by location. Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law. Compensation Range: $200K - $300K