DevOps Engineer - Remote

Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

In Short

• Develop, maintain and implement Kubernetes clusters at scale for ML workloads.
• Collaborate with Data Science and Data Engineering teams to optimize workloads on Kubernetes.
• Implement specialized infrastructure to improve service reliability and scalability.
• Enforce best practices for software deployment and code management.
• Monitor systems and respond to incidents to maintain service levels.
• Provide on-call support as needed.

Requirements

• 5+ years in a DevOps or DevSecOps role.
• Experience with AWS services including EKS, EC2, and RDS.
• 5+ years building CI/CD pipelines with tools like Github Actions, Jenkins, and ArgoCD.
• Experience with containerization tools such as Kubernetes and Docker.
• 2+ years of experience in Python or Go.
• Deep understanding of distributed systems.
• Previous SRE or DevOps experience in a 24/7 environment.
• Experience with machine learning pipelines.

Benefits

• Competitive salary range of $120K - $190K.
• Opportunity to work in a fast-paced and evolving environment.
• Collaborative team culture with a focus on technical excellence.
• Equal Opportunity Employer.