Our client is a cutting-edge sports betting and analytics startup based in San Francisco. We’re helping them hire a DevOps Engineer to join their growing engineering team. This is a remote role, but candidates must reside within the Pacific Time Zone to support real-time collaboration. The ideal candidate will bring deep experience managing Kubernetes at scale, deploying infrastructure via Terraform, and supporting ML workloads in AWS.
This is an exciting opportunity to join a highly technical and mission-driven team working at the intersection of machine learning, predictive analytics, and sports tech. As DevOps Engineer, you’ll play a critical role in scaling infrastructure that supports real-time data pipelines for fantasy sports, betting platforms, and enterprise partners. You’ll collaborate directly with data scientists and engineers to build intelligent automation, robust CI/CD pipelines, and optimized cloud systems. If you’re looking for high-impact work, fast-paced problem solving, and an opportunity to grow in the MLOps space—this is the role to consider.
Required Skills & Experience
- 5+ years in DevOps, DevSecOps, or SRE roles
- Strong experience with AWS (EKS, EC2, RDS, etc.)
- Proficient with Terraform or Terragrunt for infrastructure-as-code
- 5+ years working with Kubernetes, Docker, Helm
- Deep CI/CD experience with GitHub Actions, ArgoCD, or Jenkins
- 2+ years of scripting/programming in Python or Go
- Solid understanding of networking, distributed systems, and cloud security
- Previous experience in 24/7 on-call production environments
Desired Skills & Experience
- Experience supporting machine learning pipelines or MLOps
- Understanding of advanced statistics or analytics workflows
- Startup or high-growth environment experience
- Personal interest or experience in sports data, betting, or fantasy
What You Will Be Doing
Tech Breakdown
- 40% Kubernetes & Container Orchestration
- 30% AWS Cloud Infrastructure Management
- 20% CI/CD Pipeline Development & Maintenance
- 10% ML Infrastructure Support
Daily Responsibilities
- 60% Hands-On DevOps Engineering
- 20% Collaboration with Data Science & Engineering Teams
- 20% Monitoring, Incident Response & On-Call Support
The Offer
You Will Receive The Following Benefits
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By: Ally Mitchell
