Sr Cybersecurity Engineer - US Federal

Workday Workday · Enterprise · USA.VA.Reston

Sr Cybersecurity Engineer role focused on building and maintaining security systems (Vulnerability Management, SIEM, SOAR) within AWS, securing Kubernetes clusters, and leveraging IaC and Python. The role actively uses AI tools and LLMs to enhance development and automation, and requires experience with data synthesis for visual insights. It supports U.S. Federal Government contracts, potentially requiring a security clearance.

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

  • Deep experience engineering within AWS (Compute, Storage, Networking, and Security services).
  • Strong hands-on experience with Kubernetes (K8s) and Docker. You understand how to secure containerized environments and manage their lifecycle.
  • Advanced skills in Python.
  • Proven experience with Infrastructure as Code (IaC) (e.g., Terraform).
  • You must be comfortable and proficient in using AI tools to complement your daily functions.
  • Ability to synthesize data and present it visually to stakeholders.

Nice to have

  • Experience building or maintaining GitLab CI, GitHub Actions, or Jenkins pipelines.
  • Specific experience with Amazon Elastic Kubernetes Service (EKS).
  • Experience securing large-scale, customer-facing SaaS products.
  • active TS/SCI w/CI Poly is preferred

What the JD emphasized

  • U.S. Federal Government
  • United States citizens
  • security clearance
  • TS/SCI w/CI Poly
  • AWS
  • Kubernetes
  • Python
  • Infrastructure as Code (IaC)
  • AI tools