{"id":60276,"url":"https://alion.io/job/radar-senior-staff-backend-engineer-maps","title":"Senior / Staff Backend Engineer, Maps","company":{"id":11726,"name":"Radar","domain":"radar.com","url":"https://alion.io/company/radar","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":61,"open_postings":17,"ghost_share":0.647,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"RocksDB","optional":false},{"name":"Rust","optional":false},{"name":"Scala","optional":false},{"name":"Slack","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Zoom","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-14T17:45:07Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-17T17:19:34Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":63},"description":"About Radar\nRadar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.\nWhy is Radar the best place to work?\nWe're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.\n\nWe have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.\n\nWe're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.\n\nWe have a high-performance culture, with ambitious and entrepreneurial teammates in every role.\n\nWe recently moved into an amazing new office in Flatiron, Manhattan, NYC.\n\nWe were recently named a top 10 best place to work in NYC by Crain's.\n\nDespite our growth and scale, we're still just getting started. That's where you come in.\nAbout the role:\nWe'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.\nHow we work:\nMost 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.\nWe 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.\nTo us, a week is a long time, and we expect to ship big things every week.\nThe stack:\nOur 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)\nWe use Tantivy, RocksDB, and FSTs for indexing, with ML models for query understanding and ranking.\nOur geospatial data pipelines are written in Scala and Python on Airflow, bringing many commercial and open data sources together.\nThe API layer is a Node.js TypeScript app, and we use MongoDB, S3/Athena, and Redis.\nEverything is deployed to AWS via Kubernetes on EKS using Terraform.\nMost engineers are in the on-call rotation.\nWe sponsor OpenStreetMaps, MapLibre, and OpenAddresses.\nHow we use AI:\nEngineers choose what AI tools they use, Claude and Codex being the most popular.\n\nWe're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.\n\nAll code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.\n\nThere is a range of how much engineers use AI. Most use it daily if not weekly.\n\nWe are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.\n\nThe hiring process:\nAfter 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.\nWhat you’ll do:\nOwn the data foundation under the geocoder including how location data is modeled, kept consistent, and served reliably, working across Scala, Python, and Rust\n\nBuild the pipelines that bring many commercial and open data sources together, expanding coverage and quality across US and international data\n\nHelp bring LLMs and agents into the data layer for enrichment, labeling, and quality, with the guardrails to keep them trustworthy\n\nRange across the geocoding stack when the work calls for it, from the serving path in HorizonDB to the Node.js/TypeScript API\n\nHave your work power over 1 Billion API calls / day\n\nTalk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful\n\nYou should:\nThink of yourself as a generalist engineer first, not tied to any particular stack\n\nAre interested in talking to customers or prospects and making them successful\n\nAre deeply curious about how things work, and have the tenacity to sit with hard problems and power through them\n\nBonus points if you:\nAre a former technical co-founder\n\nHave worked on a high throughput, high growth SaaS application\n\nHave worked on geospatial infrastructure\n\nHave built large-scale data pipelines or data-integration systems\n\nHave used LLMs in a data or ML pipeline (enrichment, labeling, or evaluation)\n\nYou’ll work with:\nTim Julien, CTO\n\nRishant Dwivedi, Engineering Manager\n\nOur customers and prospects\n\nOur Customer Success, Sales Engineering, and Sales teams\n\nWhat we offer:\nCompetitive salary\n\nMeaningful stock options in a fast-growing company\n\n401(k) plan with 4% match\n\nNew HQ in Flatiron, NYC\n\nTop-notch equipment\n\nCatered lunches\n\nUnlimited PTO\n\nHealth, dental, and vision insurance with 100% coverage for employees\n\n12 weeks of paid parental leave\n\nCommuter and fitness benefits\n\nWe’ll share full details of our benefits package at the offer stage. Benefits may vary by location.\nRadar 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.","description_format":"text","description_chars":6374,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave","Stock options","Unlimited PTO","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Navigation & Mapping","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-08-14T17:45:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":162500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.362,"p_room":0.36,"age_days":63,"expected_fill_days":36,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/radar-senior-staff-backend-engineer-maps","json_url":"https://alion.io/job/radar-senior-staff-backend-engineer-maps.json","meta":{"generated_at":"2026-10-17T20:19:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4068,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":11726},"rest":"https://alion.io/mcp/rest/get_company?id=11726"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fradar-senior-staff-backend-engineer-maps"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fradar-senior-staff-backend-engineer-maps"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fradar-senior-staff-backend-engineer-maps"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/radar-senior-staff-backend-engineer-maps\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fradar-senior-staff-backend-engineer-maps"}]}