Overview
Lead the Network Engineering team responsible for scaling and evolving CrowdStrike's IP and Optical backbone and cloud connectivity for hybrid infrastructure.
What you'll do
- Lead network engineering team and drive initiatives to scale our IP and Optical backbone while maintaining consistency and stability
- Drive technical roadmap, cloud connectivity strategy and budget
- Collaborate with internal service partners and advance the IP and Optical network architecture to meet our evolving service requirements
- Actively engage with external vendors to discuss roadmap alignment, validate new designs or platforms, and lead post-mortem discussions on recent issues
- Drive operational excellence and best practices in operating and scaling infrastructure
- Drive backbone network automation strategy and development
- Develop tools to enhance consistency across multiple hybrid clouds
- Drive the development, testing and integration of new hardware and software platforms
- Participate in 24x7 on-call rotations
What you'll need
- 7+ years of experience in operating multi-vendor hyper-scale IP and Optical backbone, data center networks and public cloud networks (AWS, GCP, OCI, or equivalent)
- Proven track record in managing global engineering teams and leading initiatives independently with minimal supervision
- Expert in large scale backbone networking technologies and protocols such as DWDM, ROADM, MP-BGP, MPLS, RSVP, Segment Routing, IS-IS, QoS, MACsec
- Experience with optical networks, core backbone routing, DDoS mitigation and other edge network services
- Experience in managing network configs using scripts (bash, python) or automation frameworks (Ansible, Chef, Terraform)
- Experience operating in FedRAMP or other regulated environments
- Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status)
- A strong track record of developing and improving tools, platforms, and infrastructure
- Experience with network simulation and testing tools
- Experience in the automation of systems to reduce operational toil
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Details
- Location: USA - Remote
- Participation in 24x7 on-call rotations
- Base salary range for U.S. candidates: $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package
Read the full description and apply on the company’s own careers page.