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A tech-driven insurance company in New York is looking for a Core Engineer to develop cutting-edge technologies in a challenging environment. The role involves solving complex problems related to data pipelines and distributed systems, collaborating with a global team. Candidates should have over 5 years of experience and a strong background in software engineering. Competitive salary and a range of employee benefits are offered.
Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook.
Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital.
Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.
Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles:
Salary range: $170K - $210K for US applicants
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:
Note: 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.