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Senior Data Infrastructure Engineer

78% Flex

EXTRA PARENTAL LEAVE - FULLY FLEXIBLE

Remote:

Full Remote

Contract:

Full time

Salary:

150 - 170K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

At least 7 years experience in distributed computing and data storage on cloud environment, Strong familiarity with containerization, data streaming frameworks, and networking in private cloud environments.

Key responsabilities:

Design, build, and maintain key data infrastructure systems
Collaborate with engineers to translate system requirements into scalable technical solutions

Underdog Fantasy Leisure & Entertainment Scaleup https://underdogfantasy.com/

201 - 500 Employees

See more Underdog Fantasy offers

Job description

Your missions

Hi, we’re Underdog!

We’re the fastest-growing sports gaming company ever.

We build innovative games and products for American sports fans.

Founded in 2020, our team built four of today’s most widely played fantasy games and recently launched our Underdog Sportsbook. We are the only sportsbook to ever launch on our own home grown technology, which allows us to build different and innovative experiences. We believe there’s so much more to be built for sports fans, and we’ll continue to win by building the best products and experiences for our customers.

The opportunity in front of us to become the biggest company in our space is massive; after all, we’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, we reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.

At Underdog, we believe that sports are for everyone and are building a tomorrow for every fan. Want to help create that future? Join us.

About the role and why it’s unique:

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

Who you are:

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

Even better if you have:

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

Our target starting base salary range for this position is between $150,000 - $170,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

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
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

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.

#LI-REMOTE