Underdog Fantasy

Backend Engineer

Underdog Fantasy

full-time

Posted on:

Location: 🇺🇸 United States

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Salary

💰 $135,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoGoogle Cloud PlatformKubernetesMicroservicesSparkTerraform

About the role

  • Build the backbone of Underdog’s data ecosystem — design and deploy internal APIs and workflows that power seamless communication across our services.
  • Create robust, scalable microservices to serve real-time, high-volume data needs for our internal teams, enabling faster decision-making and better fan experiences.
  • Own greenfield projects that shape the future of our business—architecting backend systems built for scale, resilience, and speed.
  • Partner cross-functionally with engineers, product owners, and data scientists to turn complex challenges into elegant, scalable solutions.
  • Safeguard system reliability by building smart monitoring, alerting, and logging tools that keep our infrastructure healthy and performant.
  • Drive impactful technical initiatives from start to finish in a fast-moving, high-stakes environment where your leadership makes a real difference.
  • Champion engineering excellence by leading code reviews, sharing best practices, and helping level up the team through mentorship and feedback.

Requirements

  • A Backend Engineer with at least 3 years of experience building microservices heavy backend systems and APIs for internal applications on a cloud environment (e.g. AWS, GCP, Azure)
  • Advanced proficiency with Go
  • Experience building and scaling backend systems and designing enterprise scale APIs for external and internal applications
  • Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
  • Excellent communication skills with ability to influence and collaborate with stakeholders
  • Familiarity with containerization and orchestration technologies such as Docker, Kubernetes, or ECS
  • Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)
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