QA Automation Engineer - Quantitative Sports

Role overview

Build and scale automated quality assurance for software that generates sports prices and odds. You’ll work across engineering, QA, and DevOps to replace manual checks with dependable coverage of user interfaces, functionality, and APIs, then help maintain testing frameworks as the systems grow.

Responsibilities - Partner with engineering leaders to guide quality assurance across the software lifecycle. - Define test strategies and create plans and cases for new and existing systems. - Develop and run automated UI and functional tests. - Improve and maintain continuous integration workflows. - Investigate problems in systems under test and help translate defects into actionable engineering work.

Requirements - 5–8 years of software development engineering in test experience. - Proficiency in at least one programming language. - Experience in sports betting. - Familiarity with Git, defect tracking, test management, and project management tools such as Jira. - Knowledge of SQL or NoSQL databases. - Ability to write clear technical defect tickets and collaborate with technical and non-technical stakeholders. - A college degree in any discipline. - Organized, self-directed approach to prioritizing and delivering work in a remote, fast-paced environment.

Nice to have - Experience setting up QA practices and procedures, or working with SQL or Python. - Familiarity with Grafana or other observability tools, sports data feeds, pricing pipelines, or odds generation systems.

Benefits and work setup - Fully remote role based in the United States, with autonomy over day-to-day work. - Competitive pay and benefits, flexible vacation allowance, and a hybrid or remote working environment.