Engineering Manager, Site Reliability
**About Radar** [Radar]https://radar.com) 是地质定位领域的全球领导者,拥有地理位置 SDK,地图 API 和人工智能支持的解决方案,用于营销,欺诈和运营团队。为什么 Radar 是工作最好的地方?- 我们受世界一些最佳公司信任,从高增长初创企业到财富500强。- 我们有令人难以置信规模:我们每天处理超过10亿次 API 调用来自数亿设备。- 我们资源丰富,并从世界级投资者那里筹集了85.5万美元,包括 Accel 和洞察力合作伙伴。- 我们有一个高绩效文化,每个角色都具有雄心勃勃的创业同事。- 我们最近搬到纽约曼哈顿的 Flatiron 新办公室。- 尽管我们增长和规模,但我们还在开始。**关于这个角色** 我们正在寻找一个工程经理来领导一支分布式 SRE 团队在我们的生产基础设施上工作。你将负责支持一个团队并推动一个路线图使 Radar 服务可扩展和全球范围内非常可用。Radar 是一个高吞吐量,数据密集型应用程序处理每天10亿+ API 通话。过去一年里,Radar 已经被用于超过300MM 设备。我们运行多可用区架构,一个主要的举措是提高我们的部署到多区域。**堆:**我们使用 Terraform 来管理我们的基础设施。我们通过 EKS 部署一切在 AWS.我们使用 MongoDB 部署到 Atlas.我们通过 CircleCI 进行 CI 和部署。我们通过 CloudWatch,Grafana,Pingdom 和 PagerDuty 监控生产。DNS 由 CloudFlare 管理。大多数工程师都在通话轮换中。我们的主服务器语言是 TypeScript 和 Rust.我们的数据管道以 Airflow 和 Scala Spark 编写。我们赞助 OpenStreetMaps,MapLibre 和 OpenAddresses. **我们如何使用 AI:** - 工程师选择使用 AI 工具,克劳德和 Codex 是最受欢迎的。- 我们正在积极培养 Claude 技能 - 例如我们已经教导它如何调试我们的地质空间数据库 HorizonDB. - 所有代码变化都由该领域熟练的工程师进行审查。克劳德与 Codex 也审查所有 PR. - 有范围的工程师使用 AI 多少。大多数人每天使用 AI. - 我们对人工智能能够做的事情感到兴奋,但我们也认识到风险并不会妥协我们的编码标准。** 我们的工作方式:*
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 an Engineering Manager to lead a distributed SRE team to work on our production infrastructure. You will be responsible for supporting a team and driving a roadmap that makes Radar’s services scalable and highly available worldwide. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM 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 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.
**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.
**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:**
- Manage, grow, and mentor a globally distributed SRE team
- Be responsible for our observability, monitoring, and incident management practices
- Work on core Radar infrastructure using Terraform all deployed to AWS via EKS
- Work with our product, data, platform, and security engineers to ensure the development of highly-available, scalable, and reliable software
- Champion automation and self-service capabilities over manual processes, and have grounded perspectives on AI-assised tooling
- Drive critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities
- Ensure compliance and security by default in our processes and infrastructure by partnering with our GRC and security teams
- Have your work be used by 100's of millions of devices
- Be part of the on-call rotation
- Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
**You should:**
- Be able to get your hands dirty and dive deep into production issues
- 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
- [**Leo Kim**](https://www.linkedin.com/in/leokim/), VP Platform Engineering
- 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._