Backend Engineer
About Radar
Radar is building the location OS of the future by providing location infrastructure to power every application. Today, Radar powers use cases like curbside pickup, delivery, and location-aware app experiences for brands like Panera Bread, American Eagle Outfitters, T-Mobile, and Afterpay.
We recently raised a $55M Series C led by Insight Partners and Accel to build location infrastructure for every product and service. Our team is growing quickly and has backgrounds from companies like Google Maps, GitHub, Uber, Foursquare, and Facebook. We are headquartered in Union Square in New York City.
At a time when many tech companies are retreating, we’re continuing to grow and being thoughtful about how we scale by executing our vision, working obsessively with our customers, and moving nimbly to outpace competition.
About the role
We're looking for a Backend Engineer to help us improve our backend infrastructure by working on things like simplifying how we serve our hot path, building internal tooling around our Point-of-Interest Places database, and creating a unified customer-facing analytics stack.
With over 100 million installations over the past 12 months, the Radar mobile SDK generates 100's of millions of api calls per day. At its core, Radar is a data-intensive, high-throughput application, so reliable and global infrastructure is critical. This is a U.S. remote position and you will report to our Backend Engineering Manager.
For candidates based in the United States, the base salary range for this full-time position is between $140,000 - $230,000/year.
In addition to cash compensation, Radar offers full-time employees a competitive equity plan with stock option grants. This is a meaningful ownership stake in the company that we provide to our employees as we build a category-defining company together.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training.
What you’ll do:
- Help scale our api’s beyond 10,000 qps and our Data Lake beyond 100PB
- Help us improve automation through IaC (terraform)
- Work on the Radar api layer in Typescript and Docker
- Work on the Radar offline pipeline layer in python airflow
- Work on our Data layer in MongoDB, Redis, and Athena
- Build internal tools, including simple web interfaces
- Work across many AWS services
- Improve our Point-of-Interest places database using Scala spark
- Improve our PlaceRank algorithm
- Participate in our on-call rotation
You have:
- Experience with AWS, Terraform, and Docker
- Experience working on a large scale production data-intensive application in AWS
- Experience with indexing, sharding, caching and materialized views for high-throughput data-intensive applications
- Experience improving precision and accuracy of ranking oriented api’s
- Experience implementing solutions that are 20% of the effort but 80% of the benefit
You’ll be working with:
- Tim Julien, CTO
- Jeff Kao, Senior Staff Engineer
- Craig Kochis, Engineering Manager
Benefits and Perks:
- Fully remote in the U.S. with opportunities to travel for company-wide events, offsites, and quarterly kickoffs
- Competitive compensation package and equity plan
- Medical, dental, and vision plans with 100% premiums covered for you
- 401(k) plan with a generous employer match
- Unlimited PTO vacation policy
- Paid parental leave
- Weekly lunch stipend
- Monthly fitness reimbursement and wellness programs via Classpass and Gympass
Benefits offering details will be provided if a candidate receives an offer. Benefits may also vary by location.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace. Radar does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity any other reason prohibited by law in the provision of employment opportunities and benefits.