A cutting-edge sports betting and analytics startup based in San Francisco is hiring a DevOps Engineer. This is a highly technical role focused on scaling infrastructure that supports real-time data pipelines for fantasy sports and betting platforms, working at the intersection of machine learning and predictive analytics.

This is a Direct Hire, Hybrid position with a salary range of $120,000 – $170,000. Crucially, candidates must reside within the Pacific Time Zone (PST) to support real-time collaboration with the team.

Role Summary and MLOps / Containerization Mandate

This DevOps Engineer will play a critical role in managing and scaling the infrastructure that supports high-velocity, real-time data pipelines and ML workloads in AWS. You will build robust CI/CD pipelines, intelligent automation, and optimized cloud systems, working directly with data scientists and engineers.

Technical Focus Areas:

• Kubernetes & Container Orchestration: 40% of focus
• AWS Cloud Infrastructure Management: 30% of focus (e.g., EKS, EC2, RDS)
• CI/CD Pipeline Development & Maintenance: 20% of focus
• ML Infrastructure Support: 10% of focus

Daily Responsibilities:

• 60% Hands-On DevOps Engineering.
• 20% Collaboration with Data Science & Engineering Teams.
• 20% Monitoring, Incident Response & On-Call Support (for 24/7 production environments).

Required Experience and Technical Qualifications

The ideal candidate brings deep experience with AWS and Kubernetes at scale, proficiency with Infrastructure-as-Code (IaC), and a track record of supporting high-availability production systems.

• Experience (Required):
  • 5+ years in DevOps, DevSecOps, or SRE roles.
  • 5+ years working with Kubernetes, Docker, Helm.
  • 2+ years of scripting/programming in Python or Go.
  • Previous experience in 24/7 on-call production environments.
• Core Technical Stack:
  • Strong experience with AWS (EKS, EC2, RDS, etc.).
  • Proficient with Terraform or Terragrunt for Infrastructure-as-Code.
  • Deep CI/CD experience with GitHub Actions, ArgoCD, or Jenkins.
  • Solid understanding of networking, distributed systems, and cloud security.
• Desired Skills (Bonus):
  • Experience supporting machine learning pipelines or MLOps.
  • Understanding of advanced statistics or analytics workflows.
  • Interest in sports data, betting, or fantasy.