Network Reliability Engineer III (AI/DevOps)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

Crowdstrike is looking for a Network Reliability Engineer with advanced technical skills in networking, systems, tooling, and automation, who knows how to leverage AI to enhance operations. You will be responsible for implementing, maintaining, and optimizing AI-powered tools and platforms that enhance our network monitoring, alerting, and incident response capabilities. This role focuses on leveraging intelligent automation solutions to improve network reliability and operational efficiency across our hyper-scale hybrid cloud infrastructure.

What You'll Do:

• Deploy and configure AI-powered network monitoring, alerting, and analytics platforms
• Implement and maintain AI-driven anomaly detection systems for proactive network correlation and issue identification
• Configure and optimize automated remediation workflows using intelligent platforms and existing tools
• Ensure network telemetry and metrics are properly integrated with machine learning platforms for effective analysis
• Fine-tune intelligent alerting systems to reduce noise and improve signal quality for network operations
• Utilize smart correlation tools to accelerate incident detection and resolution processes
• Support and maintain AI-enhanced infrastructure, ensuring high availability and performance
• Identify opportunities to enhance network operations through better utilization of intelligent automation capabilities
• Create and maintain documentation for automated procedures, configurations, and best practices
• Work with Network Engineering and TechOps teams to integrate intelligent solutions into existing workflows
• Participate in a 24x7 on call rotation to ensure continuous support of network operations

• Bachelor's degree in Computer Science, Network Engineering, or related field from an accredited university. Equivalent experience considered.
• 5+ years in network operations with 2+ years working with intelligent monitoring tools or automation platforms
• 5+ years of experience working with large scale IP networking technologies and protocols such as: BGP, OSPF, ISIS, VRF, VxLAN, eVPN, QoS, GRE, IPSec, DNS, MACsec, MPLS (TE, Auto-BW), and CLOS Architectures
• Experience with tools like Moogsoft, BigPanda, Splunk IT Operations, DataDog, or similar AI-powered monitoring platforms
• Proficiency with Python, Ansible, and API integration for workflow automation
• Strong troubleshooting skills in Linux environments and network stack analysis
• Experience with Prometheus, Grafana, ELK stack, or similar observability tools
• Ability to interpret machine learning insights and translate them into actionable network operations tasks
• Experience working with a global team to collaborate and manage operations around the clock
• Hands-on experience with infrastructure-as-code using tools such as Python, Ansible, YAML, or Netconf/YANG, Chef, Puppet

• Work experience in data center, telecom, SaaS, or cloud operations companies
• Ability to communicate technical detail into succinct and fact-based business terminology, both verbally and in writing
• Experience with AWS/Azure/GCP machine learning services and cloud networking
• Customer-focused mindset, with demonstrated skill in managing expectations, providing proactive status updates, and producing high-quality work products.
• Ability to use independent judgment to make sound, justifiable decisions and take action to solve problems
• Experience integrating with ServiceNow, Jira, or similar ticketing systems
• Ability to plan, organize and prioritize work independently and meet deadlines

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe