Principal Cybersecurity Engineer - US Federal

Workday Workday · Enterprise · USA.VA.Reston

This role focuses on building and maintaining the security infrastructure for Workday's platform, including vulnerability management, SIEM, and SOAR tools within an AWS environment. The engineer will secure Kubernetes clusters, manage infrastructure as code, and use Python for integrations. A key aspect is leveraging AI tools to enhance productivity and automate tasks, while also transforming security telemetry into actionable insights and integrating security into developer workflows. The role requires strong AWS, Kubernetes, Python, and IaC skills, with a focus on pragmatic, ownership-driven problem-solving.

What you'd actually do

  1. Design and maintain the lifecycle of our core security stack (Vulnerability Management, SIEM, and SOAR) in a native AWS environment.
  2. Secure, manage, and monitor Kubernetes clusters and containerized workloads. You’ll ensure our tooling scales alongside our containerized infrastructure.
  3. Use tools like Terraform, CloudFormation, or CDK to deploy and manage security infrastructure, ensuring our environments are version-controlled and immutable.
  4. Leverage Python to bridge the gaps between commercial tools. When a tool hits its limit, you build the integration or custom logic to fix it.
  5. Actively use AI tools and LLMs as a "force multiplier" to accelerate development, optimize code, and automate repetitive tasks.

Skills

Required

  • AWS Mastery
  • Kubernetes (K8s)
  • Docker
  • Python
  • Terraform
  • AI-Augmented Workflow

Nice to have

  • CI/CD Expertise
  • EKS Specialization
  • SaaS at Scale

What the JD emphasized

  • United States citizens
  • Kubernetes (K8s)
  • Python
  • Terraform
  • AI-Augmented Workflow