Lead Infrastructure Engineer- Optical Network

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

Lead Infrastructure Engineer focused on optical transport technologies and fiber infrastructure. The role involves designing, deploying, operating, and troubleshooting transport services, while also utilizing enterprise-authorized AI capabilities to accelerate infrastructure analysis and automation. Responsibilities include L3/L4 escalation support, incident management, capacity planning, and platform lifecycle upgrades. Requires formal training/certification in infrastructure engineering and 5+ years of experience, with demonstrated use of AI in workflows and validation of AI-assisted recommendations.

What you'd actually do

  1. Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  2. Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
  3. Drive the optical transport network workstream by designing, deploying, operating, and configuring transport services (DWDM, ROADM, 400G OTN), including monitoring and troubleshooting performance (alarms/PMs).
  4. Coordinate projects to deliver installs, turn-ups, migrations, and decommissions while owning change execution and documentation in accordance with change control policies.
  5. Provide L3/L4 escalation support and participate in an on-call rotation for production incidents, lead major-incident RCAs, and drive preventative actions.”

Skills

Required

  • Formal training or certification on infrastructure engineering concepts
  • 5+ years applied experience in infrastructure engineering
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows
  • Ability to review and validate AI-assisted recommendations before implementation
  • Knowledge of infrastructure engineering (data centers, racks, patch panels, DC power)
  • Deep knowledge across optical transport technologies and platforms (ROADM, ILA, coherent optics, Waveservers, Ciena 6500, OTN)
  • Proven ability to lead/own network infrastructure projects end-to-end
  • Automation experience (e.g., Python)
  • Working with APIs/data formats
  • Deep knowledge of optics standards, wavelength planning and optical test/turn-up methods (e.g., OTDR, BERT)
  • Strong communication and documentation skills
  • Comfortable with change, incident processes and on-call rotation

Nice to have

  • Hands-on troubleshooting across optical Layer 1 and IP Layer 3
  • Deep understanding of fiber characteristics, optics/modules, DWDM, OTN, and optical AMPs
  • CCNA (or equivalent)
  • Good knowledge of routing/switching fundamentals

What the JD emphasized

  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation
  • Applies reuse-first, AI-assisted practices within delivery and automation routines
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows
  • Ability to review and validate AI-assisted recommendations before implementation