Dragos

Dragos

Senior Cloud Operations Engineer

United States · Senior

Sponsorship not specifiedDetected 1 day ago
AWSGCPAzureTerraformDatadogSite Reliability EngineeringCybersecurityComplianceProcess ImprovementDNSFirewall

About the role

  • We are seeking an experienced Senior Cloud Operations Engineer to join our Cloud Skill Community.

Responsibilities

  • Operate, maintain, and improve the Dragos cloud fleet across Azure, AWS, and GCP
  • Own the full customer environment lifecycle -- onboarding, configuration, upgrades, and off boarding
  • Build and maintain Terraform-based infrastructure-as-code for customer environment provisioning and fleet standardization
  • Design and enforce multi-tenant isolation patterns -- blast radius containment, RBAC at scale, and cross-account access controls
  • Configure and maintain cloud networking components across all three providers (VPCs/ VNets, peering, transit gateways, DNS, firewalls, load balancers)
  • Manage cloud-to-OT/on-prem connectivity for customer environments
  • Implement and maintain IAM, secrets management, and compliance posture across cloud providers
  • Build and maintain Datadog observability -- monitors, dashboards, log pipelines, and SLOs
  • Drive SRE practices: define SLOs, manage error budgets, maintain runbooks, and lead post-incident reviews
  • Support audit and compliance activities including evidence collection for FedRAMP, SOC2, and customer-specific requirements

Requirements

  • 4+ years of hands-on cloud operations experience across one or more of Azure, AWS, or GCP
  • Strong proficiency with Terraform for infrastructure-as-code (primary <span data-ccp-paras
  • Cybersecurity Experience

Benefits

  • This role owns the operational health of the Dragos customer cloud fleet across Azure, AWS, and GCP -- both Dragos-managed and customer-managed environments.
  • Manage fleet health, drift detection, patching, and version lifecycle management at customer scale

This listing is sourced directly from Dragos's careers page and normalized into a canonical job model.