Senior Full Stack Engineer
Company
Kalepa
Location
Remote
Type
Full Time
Job Description
About the role:
Salary range: $85k – $155k USD*
We are looking for smart programmers who love to code seek challenging problems and appreciate recognition for excellent work. As a core engineer you will step into a greenfield opportunity where your efforts will have a massive impact. You will be working on cutting edge tech including NLP firmographic data entity resolution and much more.
In this role you will work to solve interesting problems at the intersection of large and performant data pipelines distributed systems machine learning models and robust infrastructure. You will be collaborating with a global team of full-stack data ML and DevOps engineers who are considered polyglots flexing their ability to adapt as we scale.
You'll be right at home if you:
-
Have a minimum of 5+ years of relevant software engineering experience.
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Have excellent development skills including design debugging and problem solving.
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Enjoy building front end components including end to end design/architecture.
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You have experience in a modern FE framework – Preferably React/Redux.
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You have experience in backend development and API Design.
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You possess a bachelors or master's degree in computer science or a related field.
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We primarily use Python3 however are open to seeing your code in other OO languages (Java C++ C# etc).
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Experience with AWS as we work with serverless technologies and asynchronous workflow.
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Have worked with relational databases with a preference for PostgreSQL
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Have worked with some of the following tools: Docker Git GitHub Flask NumPyPandas.
What you’ll get:
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Competitive salary (based on experience level)*.
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Significant equity options package.
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Work with an ambitious smart global and fun team to transform a $1T global industry.
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20 days of PTO a year.
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Global team offsites.
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Phone reimbursement. Gym reimbursment.
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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.
Date Posted
12/04/2025
Views
0
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