Network Reliability Engineer III

CrowdStrike

Network Reliability Engineer optimizing AI-powered tools for cybersecurity company. Implementing advanced network monitoring and incident response across a hybrid cloud infrastructure.

Posted 7/7/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AnsibleChefDNSGrafanaLinuxPrometheusPuppetPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Network OperationsAnomaly Detection SystemsAutomated Remediation WorkflowsMachine Learning IntegrationNetwork Stack AnalysisBGPOSPFTerraformPythonPrometheus

Soft Skills

CollaborationProblem-SolvingDocumentation