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About the role

  • Senior SRE operating Kubernetes and cloud infrastructure for Penn Entertainment’s sports betting and media platforms. Leading migrations, automation, observability, and incident response across regulated production services.

Responsibilities

  • Build and operate infrastructure behind a large-scale sports betting and media platform
  • Own critical infrastructure across compute, networking, storage, and cloud services
  • Drive complex infrastructure migrations and projects across production environments and jurisdictions
  • Build and maintain platform tooling and automation using ArgoCD, Helm, GitHub Actions, release pipelines, and service onboarding workflows
  • Support development teams with infrastructure consulting, dependency resolution, architecture reviews, and platform-tool adoption
  • Design and improve Datadog observability, alerting, dashboards, and runbooks
  • Provide operational support and incident response through structured debugging and root cause analysis
  • Participate in on-call rotations
  • Mentor teammates and contribute to architecture decisions and continuous improvement

Requirements

  • 5+ Years of Experience in a similar role (DevOps, Site Relatability Engineer)
  • Strong experience operating and troubleshooting Kubernetes in a production Linux environment (cluster lifecycle, networking, storage, scheduling)
  • Experience working with AWS, GCP, and/or on-premise environments
  • Proficiency in at least two of: Go, Python, Bash/Shell
  • Deep understanding of distributed systems, failure modes, networking fundamentals, capacity planning, and performance analysis
  • Experience with GitOps and CI/CD workflows (ArgoCD, Helm, GitHub Actions, or similar)
  • Experience with infrastructure-as-code (Terraform, Helm, or equivalent)
  • Track record of leading complex migrations or infrastructure projects with cross-team dependencies
  • Strong incident response and troubleshooting skills
  • Clear technical communication and documentation skills
  • Experience with service mesh technologies (Istio, Cilium) preferred
  • Familiarity with distributed storage systems (Ceph, or similar) preferred
  • Experience with bare-metal Kubernetes or Talos OS preferred
  • Exposure to regulated environments preferred
  • Experience with Datadog or comparable observability platforms at scale preferred
  • Familiarity with PostgreSQL, PgBouncer, or database migration tooling preferred

Benefits

  • Competitive compensation package
  • Comprehensive Benefits package
  • Fun, relaxed work environment
  • Education and conference reimbursements
  • Bonus eligibility for most non-sales positions
  • Best-in-class benefits with personalized physical, financial, and emotional support options

Job type

Full Time

Experience level

Senior

Salary

CA$145,000 - CA$193,000 per year

Degree requirement

No Education Requirement

Tech skills

AWSCloudDistributed SystemsGoogle Cloud PlatformKubernetesLinuxPostgresPythonTerraformGo

Location requirements

RemoteCanada

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