Swish Analytics

Swish Analytics

Swish Analytics offers algorithm-driven sports predictions tools for NFL, MLB, NBA, and NHL games on various platforms, helping users make smarter bets and optimize lineups for better results.

Internet Software & Services
1-10
Founded 2014
$2M raised

Description

  • Develop, maintain, and implement Kubernetes clusters at scale for heavy and spiky ML workloads.
  • Work with Data Science and Data Engineering teams to optimize and scale workloads on Kubernetes.
  • Build and support automation, CI/CD, and scripting solutions for infrastructure and deployment workflows.
  • Help design and implement specialized infrastructure to improve service reliability and scalability.
  • Establish and enforce best practices for software deployment and code management.
  • Monitor systems, respond to incidents, and follow up on production issues to maintain SLOs and SLAs.
  • Provide on-call support as needed.

Requirements

  • Must be located in PST.
  • 5+ years of experience in a DevOps or DevSecOps role.
  • 5+ years of experience building on AWS, including EKS, EC2, RDS, and related services.
  • 5+ years of experience building CI/CD pipelines with GitHub Actions, Jenkins, and ArgoCD.
  • 5+ years of experience managing distributed systems with Kubernetes, Docker, and Helm.
  • 2+ years of experience with Python or Go.
  • Deep understanding of distributed systems, including storage, networking, and security.
  • Previous SRE or DevOps experience supporting customer-facing systems in a 24/7 environment.
  • Experience working with machine learning pipelines.
  • Experience with MLOps or similar (preferred).
  • Knowledge of advanced statistical methods (preferred).

Benefits

  • Base salary range of $120K-$160K or $160K-$190K, depending on level.
  • Equal opportunity employer consideration for all qualified candidates.
  • Potential for varied responsibilities in a changing role environment.

Interested in this position?

Apply directly on the company website

Apply Now

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