QA & Reliability Engineer (Remote)

Company: Second Spectrum
Company: Second Spectrum
Location: Medellín, Antioquia, Colombia
Posted on: 2023-04-20 22:20
(Open to Remote candidates based in Colombia)   Second Spectrum   is a Sports Emmy-winning data & tech company  that is building  the next way of seeing sports - by capturing and producing the highest quality data and innovative content for many of the world’s largest leagues and media partners, such as the NFL, NBA, MLB, English Premier League, ESPN, Amazon, and CBS Sports. In 2021, Second Spectrum was acquired by Genius Sports. Powered by an incredibly driven and ambitious team, Second Spectrum is the place to work if you’re interested in cutting edge technology in sports. Our innovative and dynamic environment emphasizes opportunities for motivated individuals to maximize their growth and impact.   The Role  Second Spectrum is looking for QA and Reliability Engineers to join our Data Products group, which produces and delivers cutting-edge sports data driving team success and innovative fan experiences.   Responsibilities Develop tests and testing infrastructure; ensure adequate test coverage of our software systems and products Improve observability by building and maintaining dashboards showing logs, metrics, and alerts Help with release processes, including reviewing release notes, testing, and troubleshooting issues that arise Work with product stakeholders to resolve customer questions and issues in a timely manner Identify repeat issues and update support playbooks to improve efficiency of future issue resolution Track and communicate quality metrics; improve the quality of our products by identifying areas for improvement Requirements Programming experience in Typescript, Python, Rust or C++ Team-first and product-oriented mindset Flexibility and availability for work on call, outside of regular work hours, as needed to support live sports Nice to haves Experience with Grafana, Prometheus, Docker, Kubernetes, CI, AWS, databases Experience in software or data QA
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