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