The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America.
Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else.
With a $1.2 billion valuation and backing from investors like BlackRock, Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started.
At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game.
We’re Underdog. And winning as an Underdog is just more fun.
Join us.
- As a Senior 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
- Research and keep up to date on emerging data technologies and trends and focus on iteratively implementing them into Underdog’s data systems
- 5+ years experience building distributed computing and distributed data storage infrastructure on a cloud environment (e.g. AWS, GCP, Azure)
- 5+ years experience with containerization and orchestration technologies such as Kubernetes, ECS, or Docker
- Strong familiarity data streaming frameworks such as Apache Kafka, Apache Flink, or Kinesis
- Experience working with networking in private cloud environments and enabling cross account VPC peering functionality between multiple cloud accounts
- Expert with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK, CloudFormation)
- Advanced proficiency with Typescript, Python, or other OOP languages (at least 2)
- Excellent leadership and communication skills with ability to influence and collaborate with engineering and data science stakeholders
- Experience with building and scaling ML platforming solutions (e.g. Databricks, Sagemaker, Vertex AI) into an existing cloud environment
- Strong interest in sports
- Prior experience in the sports betting industry
- Prior experience building data or ML platforms with accelerated computing use cases
Our target starting base salary range for this position is between $150,000 and $190,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.
- Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
- 16 weeks of fully paid parental leave
- A $500 home office allowance
- A connected virtual first culture with a highly engaged distributed workforce
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents
#LI-REMOTE
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
Top Skills
What We Do
Underdog Fantasy is one of the fastest-growing sports companies on the market. Founded by a team of industry veterans, Underdog is bringing fun, approachable contests and games to the masses. We’re looking to innovate an already exciting space and provide the best possible experience to our enthusiastic users.
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