{"id":431,"date":"2025-10-16T19:01:38","date_gmt":"2025-10-16T19:01:38","guid":{"rendered":"https:\/\/skillbasedmatching.com\/jobs\/?post_type=jobpost&p=431"},"modified":"2025-10-16T19:01:41","modified_gmt":"2025-10-16T19:01:41","slug":"devops-engineer-aws-kubernetes-mlops","status":"publish","type":"jobpost","link":"https:\/\/skillbasedmatching.com\/jobs\/current-jobs\/devops-engineer-aws-kubernetes-mlops\/","title":{"rendered":"DevOps Engineer \/ AWS \/ Kubernetes \/ MLOps"},"content":{"rendered":"\n

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

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

\n\n\n\n

Role Summary and MLOps \/ Containerization Mandate<\/h3>\n\n\n\n

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<\/strong>. You will build robust CI\/CD pipelines, intelligent automation, and optimized cloud systems, working directly with data scientists and engineers.<\/p>\n\n\n\n

Technical Focus Areas:<\/h4>\n\n\n\n
    \n
  • Kubernetes & Container Orchestration:<\/strong> 40% of focus<\/li>\n\n\n\n
  • AWS Cloud Infrastructure Management:<\/strong> 30% of focus (e.g., EKS, EC2, RDS)<\/li>\n\n\n\n
  • CI\/CD Pipeline Development & Maintenance:<\/strong> 20% of focus<\/li>\n\n\n\n
  • ML Infrastructure Support:<\/strong> 10% of focus<\/li>\n<\/ul>\n\n\n\n

    Daily Responsibilities:<\/h4>\n\n\n\n
      \n
    • 60%<\/strong> Hands-On DevOps Engineering.<\/li>\n\n\n\n
    • 20%<\/strong> Collaboration with Data Science & Engineering Teams.<\/li>\n\n\n\n
    • 20%<\/strong> Monitoring, Incident Response & On-Call Support<\/strong> (for 24\/7 production environments).<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      Required Experience and Technical Qualifications<\/h3>\n\n\n\n

      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.<\/p>\n\n\n\n

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

              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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"template":"","jobpost_category":[46,1235,1098],"jobpost_job_type":[39],"jobpost_location":[],"jobpost_tag":[188,381,1225,1263,1232,1334,1961,24,1962,1004],"class_list":["post-431","jobpost","type-jobpost","status-publish","hentry","jobpost_category-data","jobpost_category-devops","jobpost_category-technical-services","jobpost_job_type-remote","jobpost_tag-aws","jobpost_tag-ci-cd","jobpost_tag-devops-engineer","jobpost_tag-go","jobpost_tag-kubernetes","jobpost_tag-mlops","jobpost_tag-pacific-time-zone","jobpost_tag-python","jobpost_tag-sports-tech","jobpost_tag-terraform"],"_links":{"self":[{"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost\/431","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost"}],"about":[{"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/types\/jobpost"}],"author":[{"embeddable":true,"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/users\/1"}],"wp:attachment":[{"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/media?parent=431"}],"wp:term":[{"taxonomy":"jobpost_category","embeddable":true,"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost_category?post=431"},{"taxonomy":"jobpost_job_type","embeddable":true,"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost_job_type?post=431"},{"taxonomy":"jobpost_location","embeddable":true,"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost_location?post=431"},{"taxonomy":"jobpost_tag","embeddable":true,"href":"https:\/\/skillbasedmatching.com\/jobs\/wp-json\/wp\/v2\/jobpost_tag?post=431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}