[Hiring] Staff Infrastructure Engineer - Data Platform @Underdog Sports

Role Description

You’ll be at the center of scaling Underdog’s real-time data platform, powering everything from pricing pipelines to ML-driven features. This is a high-impact role that bridges infrastructure, data engineering, and machine learning teams to define and deliver the next generation of Underdog’s platform.

• Design and implement a new real-time data pipeline using Kafka or other queuing technologies, supporting data engineering and ML use cases
• Partner with the data engineering team to stream data directly from core app Postgres databases
• Begin executing the migration path from Datastream to a queuing-based architecture
• Outline and drive execution steps for eventual cloud migration from GCP to AWS, leveraging cloud-agnostic technologies
• Build scalable load testing frameworks to stress test pricing engineering systems and validate autoscaling logic
• Integrate testing frameworks into deployment pipelines to ensure robustness in every release
• Collaborate with Pricing Engineering (PE) and Data Engineering (DE) teams to develop a 6–12 month technical roadmap for shared platform initiatives
• Modularize Terraform and other infrastructure-as-code solutions to support both PE and DE teams consistently

Qualifications

• 8+ years of experience building and scaling high-performance distributed systems in production environments
• 8+ years of hands-on expertise with Kubernetes, Kafka/Kinesis, and Terraform for cloud-native infrastructure
• Strong background in systems programming with Golang and C++ and a deep understanding of networking fundamentals
• Comfortable driving cloud agnostic infrastructure strategies across GCP and AWS
• Results-oriented, entrepreneurial, and able to move quickly in ambiguous, fast-paced environments
• Background in building real-time event-driven systems for consumer-facing products
• Strong sense of ownership with the ability to set technical direction and influence multiple teams
• Knowledge of CI/CD pipelines and integrating advanced testing frameworks

Requirements

• Experience supporting ML infrastructure or data platforms at scale
• Familiarity with large-scale Terraform module design and multi-team infrastructure enablement

Benefits

• Unlimited PTO for full-time employees (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