Underdog aims to build the best products in the sports entertainment space, creating seamless, engaging, and scalable experiences for millions of sports fans globally through a cutting-edge data platform.
Requirements
- At least 5 years of experience building microservices heavy backend systems in a cloud environment (e.g. AWS, GCP, Azure)
- Advanced proficiency with Python and SQL
- Prior experience building recommendation systems and APIs for surfacing model outputs
- Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS
- Experience with real time data processing frameworks such as Kafka, Flink, or Kinesis
- Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)
Responsibilities
- Design the future of sports entertainment.
- Shape the development of a cutting-edge data platform solutions that provides seamless, engaging, and scalable experiences for millions of sports fans globally
- Deliver best in class features and performance.
- Prioritize, execute, and oversee core initiatives that drive innovation and ensure data platform reliability at scale
- Collaborate to shape the product vision.
- Research new technologies.
- Research and keep up to date on emerging technologies and trends and focus on iteratively implementing them into Underdog’s data platform systems
Other
- Build a winning engineering culture.
- Champion development best practices.
- Collaborate with data scientists and engineering leads to define features, plan delivery, and drive the development process from ideation to launch
- Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
- Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
- Strong interest in sports
- This position may require sports betting licensure based on certain state regulations.
