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 to optimize and scale workloads
• Implement infrastructure to improve service reliability and scalability
• Enforce best practices for software deployment and code management
• Monitor systems and respond to incidents to maintain SLO/SLA
• Provide on-call support as needed

Requirements

• 4+ years of experience in a DevOps or DevSecOps role
• 4+ years building within AWS, including EKS, EC2, RDS
• 4+ years building CI/CD pipelines with Github Actions, Jenkins, ArgoCD
• 4+ years managing distributed systems with Kubernetes, Docker
• 2+ years of Python or Go experience
• 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 $110-175K based on experience
• Opportunity to work in a fast-paced and evolving environment
• Collaborative team culture
• Professional development opportunities
• Flexible working conditions