Calibrated Staffing

Calibrated Staffing

Senior Backend Engineer (AWS)

Seattle, King County · Senior · Full-time

Sponsorship not specifiedDetected 2 days ago
JavaScriptPythonJavaGoC++C#RubySwiftKotlinScalaHTMLCSSSpringData StructuresAlgorithmsGitPostgreSQLMySQLMongoDBElasticsearchAWSDockerKubernetesCI/CD

About the role

  • In 2014, Coinme became the first state-licensed bitcoin ATM company in the U.S. and now, through a partnership with Coinstar, operates the largest bitcoin kiosk network in the world.
  • Coinme is an Equal Opportunity/Affirmative Action employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Compensation

  • COMPENSATION Competitive base pay, stock options, annual profit-share, health benefits package LOCATION This opportunity is for a full-time position located at our headquarters in downtown Seattle, WA.

Benefits

  • COMPENSATION Competitive base pay, stock options, annual profit-share, health benefits package LOCATION This opportunity is for a full-time position located at our headquarters in downtown Seattle, WA.

Company info

  • We are looking for a high energy, accomplished Senior Backend Software Engineer with an eye for detail and a passion for automation and cryptocurrency.
  • If you enjoy the feeling of a 1-button-deploy, love passing unit tests, enjoy crafting business solutions in the language of the problem domain, and have a desire to work closely with a talented team creating exceptional, revolutionary software, then we would love to hear from you.
  • The company's vertically-integrated network of cryptocurrency kiosks, digital wallet, and private client services provide customers an easy, secure, and efficient way to trade, store, and transfer cryptocurrencies.

Equal opportunity

  • Equal Opportunity/Affirmative Action employer.

This listing is sourced directly from Calibrated Staffing's careers page and normalized into a canonical job model.