Remote Senior Data Infrastructure Engineer

Posted

This job is closed

This job post is closed and the position is probably filled. Please do not apply.  Automatically closed by a robot after apply link was detected as broken.

Description:

  • As a Senior Data Infrastructure Engineer at Underdog, you will be responsible for building infrastructure solutions to enhance the development of data systems and workflows.
  • You will design, build, and maintain key data infrastructure systems like distributed storage, distributed compute, and data streaming infrastructure, ensuring scalability, reliability, and security.
  • Your role will involve accelerating developer productivity by creating top-notch tooling, data systems, and automation workflows.
  • Collaborate with engineers and data scientists to understand 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 data quality.
  • Develop ML platforming solutions to speed up the model development lifecycle and the creation of ML inference systems.
  • Stay updated on emerging data technologies and trends, focusing on integrating them into Underdog’s data systems.

Requirements:

  • Minimum 7 years of experience in building distributed computing and distributed data storage infrastructure on cloud environments like AWS, GCP, or Azure.
  • Proficiency in containerization and orchestration technologies such as Kubernetes, ECS, or Docker.
  • Familiarity with data streaming frameworks like Apache Kafka, Apache Flink, or Kinesis.
  • Experience in networking in private cloud environments and enabling cross-account VPC peering functionality between multiple cloud accounts.
  • Expertise in DevOps practices including CI/CD pipelines and infrastructure-as-code tools like Terraform, CDK, or CloudFormation.
  • Advanced skills in Typescript, Python, or other OOP languages (at least 2).
  • Strong leadership and communication skills with the ability to collaborate with engineering and data science stakeholders.
  • Experience in building and scaling ML platforming solutions (e.g., Databricks, Sagemaker, Vertex AI) in an existing cloud environment.

Benefits:

  • Competitive starting base salary range of $150,000 - $170,000, plus target equity.
  • Unlimited PTO with flexibility except for the first few weeks before and into the NFL season.
  • 16 weeks of fully paid parental leave.
  • $500 home office allowance.
  • 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.
About the job
Posted on
Job type
Salary
$ 150,000 - 170,000 USD / year
Leave a feedback