Summary

The job is for a Senior Data Infrastructure Engineer at Underdog, a rapidly growing sports gaming company. The role involves designing, building, and maintaining key data infrastructure systems, collaborating with engineers and data scientists, implementing monitoring mechanisms, researching emerging data technologies, and more. The candidate should have at least 7 years of experience in building distributed computing and data storage infrastructure on cloud environments, be proficient in containerization and orchestration technologies, and have expertise in DevOps practices.

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

Responsibilities

Build 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

Preferred Qualifications

Strong interest in sports
Prior experience in the sports betting industry
Prior experience building data or ML platforms with accelerate 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

Underdog Fantasy is hiring a Senior Data Infrastructure Engineer