Senior / Staff Backend Engineer, Maps
- Salary
- $200K - $300K
- Level
- Staff
- Work type
- On-site · New York
Not stated in the posting: visa.
Open. First seen 14 August 2026.
About the role
Radar's standard text
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.
Radar's standard text
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 Maps Product Engineer to strengthen the data foundation behind Radar's geocoding platform. Our daily traffic is over 1 Billion API calls / day (15,000 requests / second) so you will be operating at scale. You'll own the systems that bring many sources of location data together into something reliable, accurate, and fresh, with the opportunity to bring AI into how we enrich and scale it. It's a broad role with deep ownership of the data layer, reaching across the geocoding stack from ingestion to serving. This role will be in our NYC HQ.
How we work:
Radar's standard text
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.
Radar's standard text
To us, a week is a long time, and we expect to ship big things every week.
The stack:
Our core backend service is HorizonDB, a geospatial database written in Rust that powers geocoding (see our blog posts here and here for a look at the internals)
We use Tantivy, RocksDB, and FSTs for indexing, with ML models for query understanding and ranking.
Our geospatial data pipelines are written in Scala and Python on Airflow, bringing many commercial and open data sources together.
The API layer is a Node.js TypeScript app, and we use MongoDB, S3/Athena, and Redis.
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.
Radar's standard text
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:
- Own the data foundation under the geocoder including how location data is modeled, kept consistent, and served reliably, working across Scala, Python, and Rust
- Build the pipelines that bring many commercial and open data sources together, expanding coverage and quality across US and international data
- Help bring LLMs and agents into the data layer for enrichment, labeling, and quality, with the guardrails to keep them trustworthy
- Range across the geocoding stack when the work calls for it, from the serving path in HorizonDB to the Node.js/TypeScript API
- Have your work power over 1 Billion API calls / day
- Talk 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 stack
- Are interested in talking to customers or prospects and making them successful
- Are 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-founder
- Have worked on a high throughput, high growth SaaS application
- Have worked on geospatial infrastructure
- Have built large-scale data pipelines or data-integration systems
- Have used LLMs in a data or ML pipeline (enrichment, labeling, or evaluation)
You’ll work with:
- Tim Julien, CTO
- Rishant Dwivedi, Engineering Manager
- 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) plan with 4% match
- New HQ in Flatiron, NYC
- Top-notch equipment
- Catered lunches
- Unlimited PTO
- Health, dental, and vision insurance with 100% coverage for employees
- 12 weeks of paid parental leave
- Commuter and fitness benefits
Radar's standard text
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.
What this role asks for
Particular to this role
LLM · Machine Learning
Rare in Radar's other 15 open postings.
Standard for backend roles
Python
Common in backend postings at any company.
In most of Radar's ads
AWS · Airflow · Kubernetes · MongoDB · Rust · Terraform · TypeScript
Named in most of its open postings, whatever the role.
68% of this description is written for the role. The rest is Radar's standard text, folded away below.
Read against Radar's other open postings on this site.
The team: Engineering
This role is one of 13 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Rust (12 of 13), TypeScript (12 of 13), AWS (11 of 13), Airflow (10 of 13), Kubernetes (10 of 13), MongoDB (10 of 13), Terraform (10 of 13)
OTHER ROLES ON THIS TEAM
- Engineering Manager, Site Reliability posted Jul 30
- Engineering Manager, Platform posted Jul 30
- Senior / Staff Platform Engineer posted Jul 9
- Staff / Principal Engineer, Product Security posted Apr 25
- Senior / Staff QA Engineer posted Apr 10
- Senior / Staff Machine Learning Engineer, Fraud posted Mar 6
- Senior / Staff Data Platform Engineer posted Oct 14
- Engineering Manager posted Oct 13
- Senior / Staff Product Engineer, Backend posted Aug 27
- Senior / Staff Product Engineer posted Aug 24
- Senior / Staff Site Reliability Engineer posted Mar 29
- Senior / Staff Product Engineer, Mobile posted Feb 18
From the team and dates on Radar's own job board.
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