Strong backend Java engineer with proven hands-on Spring & Docker experience

  • Contract

Company Description

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.

John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

We're looking for a strong backend Java developer, with experience building and integrating with REST API's, using the Spring framework, and writing production-grade code to do so. Essential requirements are a strong understanding and commitment to high-quality code, design, testing, and familiarity with using GitHub and working within an agile software team.

This position is only open to individuals - no one belong to an agency, team, or company can be considered.

This position is only open to people based in the Americas (either North, Central, or South America).

You will have the opportunity to learn new technologies and be part of a growing team always looking to new challenges. This is potentially a full-time, long-term opportunity, and if you feel you qualify please include the words "John Snow Labs" in your reply and explain why you are a good fit for this job.

Additional Information

  • We are a fully virtual company, collaborating across 22 countries

  • Open to candidates worldwide - work remotely from anywhere, ideally in the US and Europe for possible future travel needs 

  • This is a contract opportunity, not a full-time employment role

  • This role requires the availability of at least 30 hours per week.