Network Reliability Engineer III (Hybrid, IND)
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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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
What You'll Need:
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
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
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
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, Terraform, Ansible, YAML, or Netconf/YANG, Chef, Puppet
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points:
Work experience in data center, telecom, SaaS, or cloud operations companies
Experience with lifecycle management of network devices to ensure proper vendor support of the network infrastructure as well as automated deployment of device firmware in a safe and repeatable fashion.
Experience with tools like Moogsoft, BigPanda, Splunk IT Operations, DataDog, or similar AI-powered monitoring platforms
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
Benefits of Working at CrowdStrike:
- 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
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.