Network Reliability Engineer III (Hybrid, IND)

Crowdstrke
Bengaluru
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Troubleshooting","Collaboration","Documentation","Independent judgment","Customer focus"]

Implement and optimize AI-powered network monitoring, alerting, and anomaly detection to improve incident detection and network reliability. Configure automated remediation workflows and integrate network telemetry with machine learning platforms for effective analysis. Fine-tune alerting to reduce noise, support high-availability infrastructure, and collaborate with Network Engineering and TechOps to embed intelligent solutions into existing operations. Participate in a 24x7 on-call rotation and maintain documentation for automated procedures and best practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Crowdstrke
Crowdstrke
1 month ago

Network Reliability Engineer III (Hybrid, IND)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 days agoStatus: Live

Job Summary

Implement and optimize AI-powered network monitoring, alerting, and anomaly detection to improve incident detection and network reliability. Configure automated remediation workflows and integrate network telemetry with machine learning platforms for effective analysis. Fine-tune alerting to reduce noise, support high-availability infrastructure, and collaborate with Network Engineering and TechOps to embed intelligent solutions into existing operations. Participate in a 24x7 on-call rotation and maintain documentation for automated procedures and best practices.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Deploy and configure AI-powered network monitoring, alerting, analytics, and anomaly detection systems.
  • •Implement and optimize automated remediation workflows and intelligent correlation tools for incident detection and resolution.
  • •Integrate network telemetry and metrics with machine learning platforms for analysis and fine-tune alerting to reduce noise.
  • •Support and maintain AI-enhanced infrastructure to ensure high availability and performance, and identify opportunities to improve operations through automation.
  • •Collaborate with Network Engineering and TechOps teams, maintain documentation, and participate in a 24x7 on-call rotation.

Pay and Benefits

Perks:EquityParental LeaveLearning Budget

Key Requirements

  • •Bachelor’s degree in Computer Science, Network Engineering, or related field (or equivalent experience).
  • •5+ years in network operations, including 2+ years working with intelligent monitoring tools or automation platforms.
  • •5+ years working with large-scale IP networking 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) and the ability to apply machine learning insights to network operations.
Experience:5+ years
Education:Bachelor's
Skills:TroubleshootingCollaborationDocumentationIndependent judgmentCustomer focus
Tech Stack:BGPOSPFISISVRFVxLANEVPNQoSGREIPSecDNSMACsecMPLSCLOSLinuxPrometheusGrafanaELKMachine LearningPythonTerraform

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn