Senior Infrastructure Engineer - Data Platform - Remote

Overview

At Underdog, we make sports more fun. Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days. We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app. Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us. Winning as an Underdog is more fun.

In Short

• 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

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

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
• Home office stipend
• 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