Senior Lead Infrastructure Engineer

JPMorgan Chase JPMorgan Chase · Banking · Seattle, WA +1 · Corporate Sector

This role focuses on engineering and implementing firewall infrastructure, developing automation scripts, and establishing engineering standards within a large enterprise environment. While the role involves using and validating AI-assisted tools for infrastructure analysis and automation, its core function is not AI/ML model development but rather leveraging AI tools to enhance existing infrastructure engineering tasks.

What you'd actually do

  1. Engineering and implementation of the firewall infrastructure
  2. Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
  3. Hands on experience with firewall platforms Fortinet, Palo Alto, Checkpoint, and firewall policy orchestrator Tufin
  4. Develop and maintain scripts for device pave/repave and automatize day to day tasks
  5. Develop engineering standards and artifacts for certified products

Skills

Required

  • Python
  • Ansible
  • Terraform
  • JSON
  • Jenkins
  • APIs
  • TCP/IP
  • routing
  • DMZ
  • network security design
  • firewall platforms (Fortinet, Palo Alto, Checkpoint)
  • firewall policy orchestrator (Tufin)

Nice to have

  • proxy
  • load balancer
  • Agile methodologies (Kanban & Scrum)

What the JD emphasized

  • formal training or certification in infrastructure disciplines, plus 5+ years of relevant experience
  • Experience with firewall and network security design, engineering and implementation experience within a large enterprise environment
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.