DraftKings Inc.Remote
Senior Site Reliability Engineer
United States of America
Full Time
1 day ago
$128,000 - $160,000 USD
H1B Sponsor Likely
Key skills
AWSGCPvSphereNutanixKubernetesGoPythonLinuxDockercontainerdpacket-level debuggingkernel troubleshootingInfrastructure as Codeconfiguration managementGitOpsRancher FleetFluxHelmKarpenterHorizontal Pod Autoscaler (HPA)KEDADatadogAIRancher
About this role
DraftKings Inc. is a publicly traded technology company focused on innovation and the integration of AI into their operations. As a Senior Site Reliability Engineer, you will build and scale critical infrastructure, drive stability at scale, and develop automation-first solutions to enhance performance and efficiency.
Responsibilities:
- 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
- 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
- Exposure to GCP, vSphere, or Nutanix is a plus