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Swish Analytics is seeking a DevOps Engineer to enhance their sports analytics, betting, and fantasy startup. The DevOps Engineer will focus on developing, maintaining, and implementing Kubernetes clusters at scale and ready for heavy/spiky ML workloads. They will work closely with Data Science and Data Engineering teams to implement, optimize, and scale workloads on Kubernetes using CI/CD, automation tools, and scripting languages.

Responsibilities:
  • Develop, maintain and implement Kubernetes clusters at scale
  • Work with Data Science and Data Engineering to optimize workloads on Kubernetes
  • Develop and implement specialized infrastructure to deliver tools/software
  • Implement and enforce best practices for software deployment and code management
  • Monitor the system and respond to incidents
  • Provide on-call support as needed

Requirements:
  • 4+ years of experience in a DevOps or DevSecOps role
  • 4+ years of experience building within AWS using Terraform or Terragrunt
  • 4+ years of experience building CICD pipelines
  • 4+ years of experience managing distributed systems with containerization tools
  • 2+ years of Python or Go experience
  • Understanding of distributed systems
  • Previous SRE or DevOps experience in managing customer-facing systems
  • Experience with machine learning pipelines

What Swish Analytics offers:
  • Opportunity to work on cutting-edge sports analytics data products
  • A fast-paced, creative, and continually-evolving environment
  • A chance to build systems to support products across a variety of industries
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Swish Analytics