Job Requirements
Remote Reston, VA
Top Secret/SCI Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
Join Premium to unlock estimated salaries 
Job Description
Job Profile - Senior Cybersecurity Engineer (Security Platform Engineering)
We aren’t looking for someone to monitor dashboards or hunt for alerts—we need the engineer who builds the "observatory" itself. As a member of our Platform Security Engineering team, you will be responsible for the architecture, engineering, and maintenance of the systems that protect the Workday product.
Operating entirely within AWS, you will treat "Security as Code," ensuring our Vulnerability Management, SIEM, and SOAR tools are robust, scalable, and automated. You are the primary engineering partner to our SOC, building the high-fidelity tools they rely on to keep our customers safe.
What You’ll Do
Design and maintain the lifecycle of our core security stack (Vulnerability Management, SIEM, and SOAR) in a native AWS environment.
Secure, manage, and monitor Kubernetes clusters and containerized workloads. You’ll ensure our tooling scales alongside our containerized infrastructure.
Use tools like Terraform, CloudFormation, or CDK to deploy and manage security infrastructure, ensuring our environments are version-controlled and immutable.
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.
Actively use AI tools and LLMs as a "force multiplier" to accelerate development, optimize code, and automate repetitive tasks.
Transform complex security telemetry into actionable, visual insights. You’ll build dashboards that show our partners exactly where we stand and where the gaps remain.
Work to integrate security tooling into the developer workflow, ensuring our engineering is as agile as the product it protects.
The Mindset
You don’t over-engineer for the sake of complexity. You choose the most reliable, scalable path to get the job done and hate manual repetition.
You don’t wait for a ticket to fix a glaring gap. You see a problem, research it from first principles, and propose the solution.
You excel in the "gray area." If you’re dropped into a problem set you’ve never seen before. Whether it's a new K8s vulnerability or a custom API, you have the intellectual agility to figure it out and deliver.
You treat the organizational partners as your customer. Your success is defined by how well your tools empower them. You take the time to understand their goals so you can better serve them.
Technical Requirements
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. We believe if you can master Python, you can handle any Bash or scripting requirements that come your way.
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.
Bonus Points
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.
We aren’t looking for someone to monitor dashboards or hunt for alerts—we need the engineer who builds the "observatory" itself. As a member of our Platform Security Engineering team, you will be responsible for the architecture, engineering, and maintenance of the systems that protect the Workday product.
Operating entirely within AWS, you will treat "Security as Code," ensuring our Vulnerability Management, SIEM, and SOAR tools are robust, scalable, and automated. You are the primary engineering partner to our SOC, building the high-fidelity tools they rely on to keep our customers safe.
What You’ll Do
Design and maintain the lifecycle of our core security stack (Vulnerability Management, SIEM, and SOAR) in a native AWS environment.
Secure, manage, and monitor Kubernetes clusters and containerized workloads. You’ll ensure our tooling scales alongside our containerized infrastructure.
Use tools like Terraform, CloudFormation, or CDK to deploy and manage security infrastructure, ensuring our environments are version-controlled and immutable.
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.
Actively use AI tools and LLMs as a "force multiplier" to accelerate development, optimize code, and automate repetitive tasks.
Transform complex security telemetry into actionable, visual insights. You’ll build dashboards that show our partners exactly where we stand and where the gaps remain.
Work to integrate security tooling into the developer workflow, ensuring our engineering is as agile as the product it protects.
The Mindset
You don’t over-engineer for the sake of complexity. You choose the most reliable, scalable path to get the job done and hate manual repetition.
You don’t wait for a ticket to fix a glaring gap. You see a problem, research it from first principles, and propose the solution.
You excel in the "gray area." If you’re dropped into a problem set you’ve never seen before. Whether it's a new K8s vulnerability or a custom API, you have the intellectual agility to figure it out and deliver.
You treat the organizational partners as your customer. Your success is defined by how well your tools empower them. You take the time to understand their goals so you can better serve them.
Technical Requirements
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. We believe if you can master Python, you can handle any Bash or scripting requirements that come your way.
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.
Bonus Points
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.
group id: 90838916