We are seeking NAC (Network Assurance Control) Developers to design, implement, and optimize network assurance solutions. The role involves developing adapters, implementing automation workflows, managing fault/performance data, and integrating monitoring/reporting frameworks. Candidates should have robust experience in SDKs, data flow management, automation, and monitoring tools.

Key Responsibilities Performance Management (PM)- Develop and maintain adapters for data ingestion from diverse network elements.
- Implement and manage KPIs, thresholds, and policies (TP).
- Design and customize dashboards for real-time and historical data visualization.

Support historical data loading and performance analytics.

Contribute to AIOps integration for predictive and intelligent operations.

Fault Management (FM)

Develop adapters for fault/event data integration.

Implement NEF, correlation rules, and syntax for fault analysis.
- Build and maintain agents for data collection and event processing.
- Develop and enhance SIA/RCA (Service Impact Analysis / Root Cause Analysis) solutions.




Cross-Domain

Design and customize FM/PM reports.

Integrate network elements (NEs) with assurance frameworks.
- Build and maintain Grafana dashboards for monitoring and visualization.
Skills Technologies SDKs Frameworks

NiFi develop event adapters and manage data flows.

Zabbix integrate and develop IP/IT monitoring adapters.

Camunda design BPMN workflows and decision models.

SQL Framework create and extend advanced reports.

Additional Skills

Strong knowledge of network assurance (PM/FM).
- Hands-on experience with data integration, event processing, and monitoring systems.
- Knowledge of AIOps, RCA, and correlation engines is a plus.

Familiarity with Grafana or other dashboarding/visualization tools.

Programming/scripting: Python, Java, Groovy, or Shell scripting.
- Understanding of telecom domain (OSS, BSS, NMS, EMS, 5G/4G core, IP/transport) is desirable.
Qualifications
- Bachelor s

📌 NAC Developer (Chennai)
🏢 Azalio
📍 Chennai