高级/资深后端工程师，地图
Senior / Staff Backend Engineer, Maps
**关于 Radar**
[Radar](https://radar.com) 是全球领先的地理位置服务提供商，提供地理围栏 SDK、地图 API 和 AI 驱动的解决方案，服务于营销、欺诈检测和运营团队。
为什么 Radar 是最好的工作场所？
- 我们被世界上一些最优秀的公司所信赖，从高增长的初创公司到财富 500 强企业。
- 我们拥有惊人的规模：每天处理来自数亿设备的超过 10 亿次 API 调用。
- 我们资源充足，并已从世界级投资者 Accel 和 Insight Partners 等处筹集了 8550 万美元资金。
- 我们有高性能文化，每个职位都有雄心勃勃且具有创业精神的同事。
- 我们最近搬进了曼哈顿熨斗区令人惊叹的新办公室。
- 我们最近被 Crain's 评为纽约市十大最佳工作场所之一。
尽管我们取得了增长和规模上的成功，但我们才刚刚开始。这就是你的机会。
**关于该职位：**
我们正在寻找一名地图产品工程师，以加强 Radar 地理编码平台的数据基础。我们的日常流量超过 10 亿次 API 调用/天（每秒 15,000 次请求），因此你将处于大规模环境中工作。你将负责将多种位置数据源整合成可靠、准确和新鲜的数据系统，并有机会将 AI 引入我们如何丰富和扩展这些数据。这是一个涉及广泛领域、对数据层有深度掌控的角色，涵盖从数据摄入到服务的整个地理编码架构。该职位将在我们的纽约总部。
**我们如何工作：**
我们大部分工程团队成员都是前技术联合创始人或来自滑铁卢大学和卡内基梅隆大学等学校的 Radar 实习生。Radar 的大多数工程师可以归类为两种类型之一：在某一技术栈上具有资深水平，或者在任何级别上具备“多技术栈”能力。“多技术栈”这个词是因为“全栈”通常意味着“前端和后端”，但 Radar 工程师可能还会涉及移动端或数据工程。当然，你不需要在所有这些方面都是专家，但渴望学习、在不同技术栈之间切换并完成任务是最重要的。
我们非常重视快速交付和与客户沟通。我们致力于实现全栈位置基础设施的产品愿景，但也知道客户反馈是一张通往宝藏的地图。尽管 Slack 是我们公司的大脑，但在纽约总部面对面协作是我们完成工作的最快方式。我们每周一开会，按小组规划一周的工作，并使用 Linear 进行计划。
查看英文原文
**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 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:**
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 core backend service is HorizonDB, a geospatial database written in Rust that powers geocoding (see our blog posts [here](https://radar.com/blog/high-performance-geocoding-in-rust) and [here](https://radar.com/blog/building-horizondb-in-production) 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.
**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**](https://www.linkedin.com/in/timjulien/), CTO
- [**Rishant Dwivedi**](https://www.linkedin.com/in/rishantd/), 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
_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._