Senior Data Infrastructure Engineer

Hi, we’re Underdog!

We’re the fastest-growing sports gaming company ever.

We build innovative games and products for American sports fans.

Founded in 2020, our team built four of today’s most widely played fantasy games and recently launched our Underdog Sportsbook. We are the only sportsbook to ever launch on our own home grown technology, which allows us to build different and innovative experiences. We believe there’s so much more to be built for sports fans, and we’ll continue to win by building the best products and experiences for our customers.

The opportunity in front of us to become the biggest company in our space is massive; after all, we’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, we reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.

At Underdog, we believe that sports are for everyone and are building a tomorrow for every fan. Want to help create that future? Join us.

About the role and why it’s unique:

• As a Senior Data Infrastructure Engineer on the Infrastructure Engineering team, you’ll be building infrastructure solutions to accelerate the development of Underdog’s data systems and its workflows
• Design, build, and maintain key data infrastructure systems including distributed storage, distributed compute, and data streaming infrastructure while ensuring scalability, reliability, and security
• Accelerate developer productivity by building best in class tooling, data systems, and automation workflows
• Collaborate with engineers and data scientists to understand core system requirements and translate them into scalable technical solutions
• Implement and maintain monitoring, alerting, and observability mechanisms to ensure the health and performance of the data platform and its data quality
• Design and develop ML platforming solutions to accelerate the model development lifecycle and the development of ML inference systems
• Research and keep up to date on emerging data technologies and trends and focus on iteratively implementing them into Underdog’s data systems

Who you are:

• At least 7 years of experience building distributed computing and distributed data storage infrastructure on a cloud environment (e.g. AWS, GCP, Azure)
• Well versed with containerization and orchestration technologies such as Kubernetes, ECS, or Docker
• Strong familiarity data streaming …