Careers/Backend Engineer

Backend Engineer

Help us build and deliver software and systems that work with large quantities of data in efficient, maintainable ways.

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About this role

We are seeking a high performing backend software engineer to help us build and deliver software and systems that work with large quantities of data in efficient, maintainable ways. This person will have significant ownership of technology and software used in our production systems, and will have the opportunity to gain significant experience in our technology stack which includes Go, bare-metal Kubernetes, Docker, ceph,, GitHub, Websockets, RESTful APIs, Kafka, MongoDB, and Elastic search.


  • Write reliable and maintainable code.
  • Contribute to all areas of’s backend stack, anywhere from data ingestion to processing pipelines to external facing APIs.
  • Collaborate and communicate effectively with a small team of passionate engineers.

Skills and Qualifications

  • Experience with a compiled language
  • Experience with or willingness to learn Kubernetes and Go
  • 3+ Years of professional software engineering experience.


Our mission is to help developers build the future of fintech by democratizing access to the world’s financial market data. This is a remote opportunity.

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Please fill out the form or email your resume to

U.S. Equal Opportunity Employer is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate harassment or discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender, gender identity, age, physical or mental disability, citizenship, sexual orientation, past, current or prospective service in the uniformed services. To request a reasonable accommodation, please email

Benefits for full time offers from Polygon include, but are not limited to, comprehensive medical plans, 401(k), and unlimited time off. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

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