QA Automation Engineer - Quantitative Sports

What are we building?

Hard Rock Digital is a fiercely focused team working to become the best online sportsbook, casino, and social gaming company in the world. We're building a deeply curious team with a passion for learning, operating, and building new products and technologies for millions of consumers. We're customer-obsessed — we care about each customer interaction, experience, behavior, and insight, and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space - ready to join us? 

What's the position?

We are looking for a QA Automation Engineer to join our Quantitative Sports (QS) team, reporting to the manager of Quantitative Engineering. QS builds and owns the in-house pricing models that set the odds on sporting events across our sportsbook. We are bringing pricing that is currently supplied by a third-party provider into our own infrastructure, and you will work at the intersection of development, quality assurance and DevOps with a goal of replacing repetitive manual tests with reliable, automated testing suites for UI, functional, and API layers.

Once the transition is complete, you'll continue to contribute to the QS team to help scale our testing frameworks while designing and implementing testing plans and strategies to ensure that our software releases continue to be of the highest quality.  This is a fully remote, US-based role with significant autonomy. If you're a self-starter who knows the sportsbook space and loves getting complex projects over the line, you'll feel at home here.

What You'll Do

• Work with engineering leadership to drive the software quality assurance lifecycle

• Establish test strategies while designing test plans and cases

• Develop and execute automated UI and functional tests

• Enhance and maintain automated CI workflows

• Troubleshoot issues in systems under test