Senior Infrastructure Engineer - Data Platform

Posted 23 Days Ago
2 Locations
Remote
160K-240K Annually
Senior level
Sports
The Role
The Senior Infrastructure Engineer will build and maintain scalable data infrastructure, collaborating with teams to enhance developer productivity and ensure data system performance.
Summary Generated by Built In

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.

About the role
  • 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
Who you are
  • 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
Even better if you have
  • Strong interest in sports
  • Prior experience in the sports betting industry
  • Prior experience building data or ML platforms with accelerated computing use cases


Our target starting base salary range for this position is between $160,000 and $240,000, plus pre-IPO equity.  Our comp range reflects the full scale of expected compensation for this role. Offers are calibrated based on experience, skills, impact, and geographies. Most new hires land in the lower half of the band, with the opportunity to advance toward the upper end over time.

What we can offer you:
  • 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

#LI-REMOTE

This position may require sports betting licensure based on certain state regulations.

Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

California Applicants: Review our CPRA Privacy Notice here. 

Top Skills

Apache Flink
Apache Kafka
AWS
Azure
Cdk
CloudFormation
Docker
Ecs
GCP
Kinesis
Kubernetes
Python
Terraform
Typescript
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The Company
HQ: Brooklyn, NY
500 Employees
Year Founded: 2020

What We Do

Underdog, the fastest-growing sports gaming company in the U.S., was founded in 2020 with the simple objective of making sports more fun. Our core operating principle: There’s so much more to be built for sports fans in America. As the only top-tier sports gaming operator in the country built on its own proprietary technology, we have a unique ability to create new, engaging products for the U.S. consumer. Our products provide the best way to enjoy fun, approachable sports games. We offer fantasy sports games, licensed sports betting, access to sports prediction markets and a growing media network featuring former professional athletes, coaches, analysts, and the fastest breaking news. Underdog is built for and by sports fans to make sports more fun. For more information, visit underdogfantasy.com.

Why Work With Us

As the only company built on its own proprietary technology across fantasy sports and sports betting regulatory frameworks, and now the first and only sports prediction market exchange offered on a major sports gaming operator app, Underdog is poised for significant growth over the next year and beyond.

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