Senior Site Reliability Engineer

🕒 vor 12 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of DraftKings Inc.

DraftKings Inc.

1001 - 5000 Mitarbeiter

Gegründet 2012

🎲 Glücksspiel

🎮 Gaming

👥 B2C

Gambling • Gaming • B2C

DraftKings Inc. ist ein digitales Sport-Entertainment-Unternehmen, das eine führende Online-Sportwettenplattform, tägliche Fantasy-Sportarten und eine Casino-Plattform betreibt, die Real-Money-Wetten und Spielerlebnisse über Web- und Mobil-Apps bietet. Es kombiniert Sportunterhaltung, Analysen und Inhalte, um Fans zu begeistern, bietet Marketing- und VIP-/Treueprogramme und unterhält globale Teams in den Bereichen Engineering, Produktentwicklung, Compliance und Kundenerfahrung, wobei der Fokus auf verantwortungsvollem Spielen liegt.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• bonus • equity • benefits as applicable

Jetzt Bewerben

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