Full-Time Senior Infrastructure Engineer

• 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

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