Senior Infrastructure Engineer

Summary

Join Underdog, the fastest-growing sports gaming company, as a Senior Infrastructure Engineer. You will design, build, and maintain key data infrastructure systems, ensuring scalability, reliability, and security. Accelerate developer productivity by building best-in-class tooling and automation workflows. Collaborate with engineers and data scientists to translate system requirements into scalable solutions. Implement monitoring and alerting mechanisms to maintain platform health and data quality. Research and implement emerging data technologies. This role requires 5+ years of experience in distributed computing and data storage on cloud environments, along with expertise in containerization, data streaming, networking, DevOps, and programming languages like Typescript and Python. The position offers a competitive salary, equity, unlimited PTO, parental leave, a home office allowance, and comprehensive benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Strong interest in sports
• Prior experience in the sports betting industry
• Prior experience building data or ML platforms with accelerated computing use cases

Benefits

• 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