Senior Site Reliability Engineer

đź•’ June 2

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Logo of DraftKings Inc.

DraftKings Inc.

1001 - 5000 employees

Founded 2012

📣 Marketing

đź’Ľ Consulting

📦 Logistics

Marketing • Consulting • Logistics

DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.

đź“‹ Description

• Drive stability and scalability across our global compute platform spanning numerous data centers, multiple public clouds, and on-premise environments, serving as the foundation for every product. • Operate and evolve our GitOps delivery model, using Rancher Fleet and Flux with Helm to deploy core cluster services and application workloads declaratively and repeatably. • Build self-healing, fault-tolerant infrastructure and internal tooling that eliminates repetitive operational work and reduces toil for both platform and application teams. • Own cluster autoscaling and capacity strategy, including Karpenter, HPA and KEDA, and predictive scaling driven by event and calendar data. • Define SLOs and reliability metrics for platform components, using Datadog and our logging pipeline to surface cluster and workload health. • Support technical growth by sharing knowledge, participating in design discussions, and contributing to a collaborative team culture, including on-call rotation.

🎯 Requirements

• Bachelor's degree in Computer Science or relevant education, experience, and training. • At least 4 years managing distributed cloud and on-premise environments at scale, with strong hands-on AWS experience. • Exposure to GCP, vSphere, or Nutanix is a plus. • Deep expertise in container orchestration with Kubernetes, including the ability to design, scale, and troubleshoot complex workloads. • Strong experience developing software for automation and infrastructure tooling such as Go and Python. • Working knowledge of networking and Linux-based systems, including container runtimes such as Docker and containerd, packet-level debugging, and kernel troubleshooting. • Experience with Infrastructure as Code (IaC) and configuration management tools to ensure scalable and repeatable infrastructure provisioning.

🏖️ Benefits

• bonus • equity • benefits as applicable

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