Senior SRE: Kubernetes & Cloud Automation

Devopsroles; Boston (MA); Hybrid; USD 128,000 - 160,000; Full time

Job summary

DraftKings in Boston is seeking a Senior Site Reliability Engineer to build and scale Kubernetes infrastructure across public clouds and on‑prem environments, delivering automation-first resilience.

You will implement self-healing systems, manage GitOps with Flux and Helm, and lead capacity planning with Karpenter and HPA to keep services reliable at scale. The role requires Kubernetes expertise, Go and Python development for tooling, and strong Linux networking knowledge.

Qualifications

• Bachelor’s degree or equivalent education, experience, training.
• 4+ years managing distributed cloud and on‑prem environments at scale, AWS experience; GCP, vSphere or Nutanix a plus.
• Deep Kubernetes expertise with container orchestration and scaling.
• Go and Python development for automation and tooling.
• Strong networking and Linux-based system knowledge, including Docker and containerd.

Responsibilities

• Drive stability, performance, and scalability across multi-cloud and on‑prem environments.
• Build self-healing, fault-tolerant infrastructure and automation tooling.
• Operate and evolve GitOps with Flux and Helm for Kubernetes workloads.
• Define and monitor reliability metrics and SLAs for platform components.
• Participate in on‑call rotations and contribute to architectural decisions.

Skills

Kubernetes

Go

Python

Linux

Networking

Education

Bachelor’s Degree in Computer Science or related field

Tools

AWS

Google Cloud Platform

vSphere

Nutanix

Docker

containerd

Flux

Rancher Fleet

Karpenter

Horizontal Pod Autoscaler

KEDA

Job description

DraftKings in Boston is seeking a Senior Site Reliability Engineer to build and scale Kubernetes infrastructure across public clouds and on‑prem environments, delivering automation-first resilience.

You will implement self-healing systems, manage GitOps with Flux and Helm, and lead capacity planning with Karpenter and HPA to keep services reliable at scale. The role requires Kubernetes expertise, Go and Python development for tooling, and strong Linux networking knowledge.