高级/资深站点可靠性工程师
Senior / Staff Site Reliability Engineer
**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以及面向营销、欺诈检测和运营团队的AI解决方案。
为什么Radar是最佳工作场所？
- 我们被世界上一些最好的公司所信赖，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，并从世界级的投资机构（包括Accel和Insight Partners）筹集了8550万美元。
- 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**
我们正在寻找站点可靠性工程师，负责我们的生产基础设施。Radar是一个高吞吐量、数据密集型的应用程序，每天处理超过10亿次API调用。在过去一年中，Radar在全球超过1亿台设备上使用。我们采用多可用区架构，一个主要项目是增强我们的部署以实现多区域。
**技术栈：**
我们使用Terraform管理基础设施。
我们通过EKS将所有内容部署到AWS。
我们使用MongoDB部署到Atlas。
我们通过CircleCI进行持续集成和部署。
我们使用CloudWatch、grafana、Pingdom和PagerDuty监控生产环境。
DNS由CloudFlare管理。
大多数工程师都参与轮班值班。
我们的主要服务器语言是TypeScript和Rust。
我们的数据管道使用Airflow和Scala Spark编写。
我们赞助OpenStreetMaps、MapLibre和OpenAddresses。
**我们如何使用AI：**
- 工程师可以选择他们使用的AI工具，Claude是最受欢迎的。
- 我们正在积极构建Claude技能——例如，我们已经教会它如何调试HorizonDB，我们的地理空间数据库。
- 所有代码更改都会由该领域知识丰富的工程师进行审查。Claude和Copilot也会审查所有PR。
- 工程师使用AI的程度各不相同。大多数工程师如果不用每天，至少每周会使用一次。
- 我们对AI能做的事情感到兴奋，但我们也认识到其中的风险，不会牺牲我们的编码标准。
**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Waterloo和CMU等学校的Radar实习生。Radar的大多数工程师都符合两种模式中的一种，
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 Site Reliability Engineers to work on our production infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region.
**The stack:**
We use Terraform to manage our infrastructure.
We deploy everything to AWS via EKS.
We use MongoDB deployed to Atlas.
We do CI and deployments via CircleCI.
We monitor production with CloudWatch, grafana, Pingdom and PagerDuty.
DNS is managed by CloudFlare.
Most engineers are in the on-call rotation.
Our main server languages are TypeScript and Rust.
Our data pipelines are written in Airflow and Scala Spark.
We sponsor OpenStreetMaps, MapLibre and OpenAddresses.
**How we use AI:**
- Engineers choose what AI tools they use, Claude 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 Copilot 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.
**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. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week.
**How we use AI:**
- Engineers choose what AI tools they use, Claude and Cursor being the two most popular.
- All code changes are reviewed by an Engineer knowledgeable in that area. Cursor and CoPilot also review all PRs.
- There is a range of how much engineers use AI. Some use it heavily, others less so.
- 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 infrastructure using Terraform all deployed to AWS via EKS
- Work on critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities
- Have your work be used by 100's of millions of devices
- Be part of the on-call rotation (one week rotation every 1-2 months)
- Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
**You should:**
- Have experience managing a production AWS environment via Terraform
- Have experience with high availability multi-region production infrastructure running on Kubernetes
- Have experience managing large sharded Mongo clusters with heavy read-write workloads
- Have experience at a high growth startup
- Be interested in talking to customers or prospects and making them successful
**Bonus points if you:**
- Are a former technical co-founder
- Have experience with high throughput data intensive applications
**You’ll work with**
- [**Tim Julien**](https://www.linkedin.com/in/timjulien/), CTO
- [**Dai Shi**](https://www.linkedin.com/in/shidai/), Senior Staff SRE
- Our Engineering, Customer Success, Sales Engineering and Sales teams
- Our customers and prospects
**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._