Underdog is a rapidly growing sports company focused on making sports more enjoyable through innovative products. The Backend Engineer will build and deploy internal APIs, create scalable microservices, and lead technical initiatives to enhance the company's data ecosystem and improve user experiences.
Responsibilities:
- 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)
- Strong interest in sports
- Prior experience in the sports betting industry