DevOps Engineer - Remote

Overview

The DevOps Engineer will work with Swish Analytics to develop and maintain systems for predictive sports analytics data products in a remote environment.

In Short

• Develop, maintain, and implement Kubernetes clusters.
• Collaborate with Data Science and Data Engineering teams.
• Implement and optimize systems on Kubernetes.
• Encourage best practices for software deployment.
• Monitor systems and respond to incidents.
• Provide on-call support as needed.
• 4+ years of experience in DevOps or DevSecOps.
• Experience with AWS services and Terraform.
• Experience with CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD.
• Strong understanding of distributed systems.

Requirements

• 4+ years in a DevOps role.
• Experience with AWS, Kubernetes, Docker, and CI/CD tools.
• 2+ years of Python or Go experience.
• Knowledge of distributed systems, storage, networking, and security.
• Experience in managing customer-facing systems.

Benefits

• Work in a fast-paced and creative environment.
• Be part of a team passionate about sports analytics.
• Opportunity to work remotely.
• Engage in unique challenges and projects.