Crowdstrke

2 weeks 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: 19 hours 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: 4.4

Website LinkedIn

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Crowdstrke

2 weeks 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: 19 hours agoStatus: Live

Job Summary

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

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: 4.4

Website LinkedIn