Staff Security Automation Engineer

29 Mar 2025

Vacancy expired!

About Digital Technology We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth.We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them. Threat Detection is looking to hire a Staff Security Automation Engineer. This role will focus on building automations, workflows and services with a primary goal of improving incident response efficiency. An engineering mindset will be required to deliver high quality solutions for our internal security operations teams. The day-to-day will consist of utilizing Agile processes with a strong bias towards utilizing the ServiceNow platform. Coordinating with several peer teams on development status will be a significant key to success. This person will need a combination of technical development and customer support skills in order to thrive in a hyper collaborative environment.

 This is a high visibility role will be critical for scaling threat detection and response functions into next generation.

What you get to do in this role:Build and deliver security engineering automation workflows using ServiceNow.Document products and deliver demos to operational teams.  Work directly with security platform engineering teams, platform Development teams, and product managers on requirements and future product roadmaps.Collaborate with other detection engineers and incident responders on new workflows or optimize current workflows.Design and build systems in a variety of public cloud ecosystems.Provide input on future products for a digital transformation cloud company.Work with a data scientist on how machine learning can improve automation.

  • ID: #49585469
  • State: Wisconsin Madison 53701 Madison USA
  • City: Madison
  • Salary: USD TBD TBD
  • Job type: Full-time
  • Showed: 2023-03-29
  • Deadline: 2023-05-28
  • Category: Et cetera