Staff Backend Engineer

About the role:

Salary range: $145k – $180k USD*

We are looking for smart programmers who love to code seek challenging problems and appreciate recognition for excellent work. As a core engineer your contributions will have a significant impact on our technology and business. You will be working on advanced systems including NLP firmographic data entity resolution and much more.

In this role you’ll solve interesting problems at the intersection of large and performant data pipelines distributed systems machine learning models and robust infrastructure. You will collaborate with a global team of full-stack data ML and DevOps engineers working together to build scalable and reliable backend solutions as we continue to grow.

You'll be right at home if you:

• Have a minimum of 8+ years of relevant software engineering experience.

• Have excellent development skills including design debugging and problem solving.

• You possess a bachelors or master's degree in computer science or a related field.

• We primarily use Python3 however are open to seeing your code in other OO languages (Java C++ C# etc).

• Experience with AWS as we work with serverless technologies and asynchronous workflow. (EC2 Lambda etc.)

• Have worked with relational databases with a preference for PostgreSQL

• Love working on distributed systems creating scalable fault-tolerant infrastructure.

• Can build data driven microservices leveraging RESTful API's.

• Have worked with some of the following tools: Docker Git GitHub Flask NumPyPandas.

What you’ll get:

• Competitive salary (based on experience level)*.

• Significant equity options package.

• Work with an ambitious smart global and fun team to transform a $1T global industry.

• 20 days of PTO a year.

• Global team offsites.

• Gym reimbursement. Phone reimbursement.

• Student stipend.

* The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience performance during the interview process and geographic location and may therefore differ from the posted range.