Senior Data Infrastructure Engineer

July 27

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Underdog Fantasy

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Underdog Fantasy is one of the fastest-growing fantasy sports companies on the market.

sports • gaming • fantasy

201 - 500

Description

• As a Senior Data 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 • Design and develop ML platforming solutions to accelerate the model development lifecycle and the development of ML inference systems • Research and keep up to date on emerging data technologies and trends and focus on iteratively implementing them into Underdog’s data systems

Requirements

• At least 7 years of experience building distributed computing and distributed data storage infrastructure on a cloud environment (e.g. AWS, GCP, Azure) • Well versed 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 • 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