Underdog Sports-posted 2 months ago
$160,000 - $240,000/Yr
Full-time • Senior

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. You will design, build, and maintain key data infrastructure systems including distributed storage, distributed compute, and data streaming infrastructure while ensuring scalability, reliability, and security. Your role will also involve accelerating developer productivity by building best in class tooling, data systems, and automation workflows. You will collaborate with engineers and data scientists to understand core system requirements and translate them into scalable technical solutions. Additionally, you will implement and maintain monitoring, alerting, and observability mechanisms to ensure the health and performance of the data platform and its data quality. Researching and keeping up to date on emerging data technologies and trends will also be a key part of your responsibilities, focusing on iteratively implementing them into Underdog’s data systems.

  • Design, build, and maintain key data infrastructure systems including distributed storage, distributed compute, and data streaming infrastructure.
  • Ensure scalability, reliability, and security of data systems.
  • 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 for the data platform.
  • Research and keep up to date on emerging data technologies and trends.
  • 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 with 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.
  • Unlimited PTO (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.
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