Overview
On Site
120k - 170k
Full Time
Skills
Predictive Analytics
Real-time
Cloud Computing
Problem Solving
Conflict Resolution
DevSecOps
Amazon EC2
Remote Desktop Services
Amazon RDS
Terraform
Docker
GitHub
Jenkins
Scripting
Python
Computer Networking
Cloud Security
Machine Learning Operations (ML Ops)
Statistics
Analytics
Workflow
Startups
Kubernetes
Orchestration
Amazon Web Services
IaaS
Management
Continuous Integration
Continuous Delivery
Machine Learning (ML)
DevOps
Collaboration
Data Science
Incident Management
Insurance
SAP BASIS
Job Details
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
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
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.