Senior Site Reliability Engineer

🕒 il y a 13 jours

🗣️🇺🇸🇬🇧 Anglais requis

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DraftKings Inc.

1001 - 5000 employés

Fondée en 2012

🎲 Jeux d'argent

🎮 Jeux vidéo

👥 B2C

Gambling • Gaming • B2C

DraftKings Inc. est une entreprise de divertissement sportif numérique exploitant la principale plateforme de paris en ligne, de sports fantasy quotidiens et de casino, offrant des expériences de paris et de jeux pour de l'argent réel via des applications web et mobiles. Elle combine des données sportives, des analyses et du contenu pour engager les fans, fournit des programmes de marketing et de fidélisation/VIP, et maintient des équipes mondiales dans les domaines de l'ingénierie, des produits, de la conformité et de l'expérience client tout en mettant l'accent sur le jeu responsable.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• bonus • equity • benefits as applicable

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