Live opening · Posted 11 days ago
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About the role
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We are looking for a Senior Software Engineer II – Network AIOps to build, integrate, and support AI Operations, observability, automation, and data integration solutions for enterprise network environments. This is a hands-on individual contributor role working closely with Network Engineering, Infrastructure, SRE, and Operations teams.
Experience- 5+ years
Location- India (Remote)
Key Responsibilities
Build and support integrations between the Network AIOps platform and network/infrastructure data sources including telemetry, alerts, events, logs, incidents, and topology data.
Develop and maintain ingestion pipelines, data normalization, enrichment, transformation, event correlation, and operational intelligence workflows.
Integrate data sources from routers, switches, firewalls, controllers, cloud networking environments, and monitoring platforms.
Build automation, APIs, scripts, and platform services to improve reliability, data quality, scalability, and operational efficiency.
Support use cases including incident triage, anomaly detection, root cause analysis, event correlation, and service-impact analysis.
Improve platform observability through dashboards, alerting, health checks, tracing, and diagnostics.
Troubleshoot complex application, infrastructure, network, data-flow, integration, and production issues.
Contribute to architecture/design, platform upgrades, release validation, environment management, CI/CD, testing, and secure engineering practices.
Develop maintainable code, Python/scripts, REST APIs, and Infrastructure-as-Code solutions.
Participate in production/on-call support and maintain technical documentation, runbooks, workflows, and integration procedures.
Required Skills
5+ years of experience in Software Engineering, Platform Engineering, or Systems Engineering in production environments.
Strong programming/scripting experience in Python, Java, Go, or JavaScript.
Experience with data integrations, APIs, event processing pipelines, and automation.
Strong networking fundamentals: Routing, Switching, DNS, Load Balancing, Firewalls, VPNs, and Network Monitoring.
Hands-on experience with network telemetry/observability data such as SNMP, Syslog, Traps, Streaming Telemetry, Metrics, Events, Logs, Traces, and API-based operational data.
Experience with AWS/Azure/GCP and modern infrastructure environments.
Knowledge of Docker and Kubernetes.
Experience troubleshooting and resolving complex production/integration issues.
Understanding of CI/CD, testing, release management, and secure engineering practices.
Preferred Skills
Experience with Network AIOps, AI Operations, Event Intelligence, or Network Observability platforms.
Experience integrating Monitoring Tools, ITSM, CMDB, Topology, Ticketing, and Incident/Event Management systems.
Knowledge of data parsing, enrichment, correlation logic, and streaming/event-driven architectures.
Exposure to ML-assisted operations, anomaly detection, and operational analytics.
Experience with Terraform, REST APIs, Python automation frameworks, and Infrastructure-as-Code.
Familiarity with Linux, Message Queues, JSON/YAML, authentication and integration patterns.
Experience supporting large-scale enterprise/service-provider network environments.
Interested candidates can share their resumes at g.punjabi@thesynapses.com or apply to this job post at the earliest.
Work arrangement
No
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