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Backend Software Engineer

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Onsite

Backend Software Engineer

ERGO Next Insurance

Backend Software Engineer

Skills

SQL QueriesKotlinPythonJavaAI

2 months ago

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Important information


Salary:

$163,000 – $220,000 / year

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

12 August 2026

What they need


Who you are

  • At least 6+ years of proven experience in Backend development. Java/Kotlin or similar languages (Python, .NET)
  • A B.Sc. in Computer Science or equivalent is a must
  • Excellent knowledge and understanding of OOP concepts and best practices
  • Hands-on development of highly distributed, cloud-based environments - an advantage. We work with AWS, but any cloud experience is a plus
  • Experience working with Relational Databases and good SQL skills
  • Adaptable, with a passion for quickly learning new technologies and working effectively in a dynamic environment
  • Ability to navigate and work effectively across diverse domains and contexts
  • Excellent interpersonal and communication skills
  • At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways

What the job involves

  • Our Backend Software Engineer can expect to work with the latest backend technologies and programming languages
  • We’re big fans of server-side Kotlin, and we produce clean, testable code fast and push it into production several times a day via our CI / CD pipeline
  • Additionally, our Backend Software Engineer will be supporting and owning our Payments & Partnerships domain
  • You will work closely with other functional areas in the company product, marketing, and front-end engineers to rapidly iterate on our product and find the best solutions to our challenges
  • You will take ownership of features – from inception through design and coding, eventually bringing your feature to production at a high level of quality and test coverage
  • Leverage AI and LLM-powered tools to improve developer productivity and experimentation

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