We are seeking a Senior Software Engineer II to support the engineering and operations of our AI Operations platform within the networking organization, with a particular focus on the Network AIOps platform and adjacent observability, automation, and data integration capabilities. This role is responsible for designing, building, integrating, and operating technical solutions that improve visibility into network
health, accelerate incident detection and triage, and enable more intelligent operational workflows across
the enterprise network environment. The ideal candidate brings solid software engineering fundamentals
along with experience in network operations, observability platforms, telemetry pipelines, automation, and
production support. This is a hands-on individual contributor role. The position will partner closely with
network engineering, infrastructure, SRE, and operations teams to improve the effectiveness, reliability, and
scalability of the AI Ops platform and its supporting ecosystem.

Experience: 5+ years
Location: India (Remote)

Key Responsibilities:
Engineer,



configure, and support integrations between the Network AIOps platform and network, infrastructure, and operational data sources including telemetry, alerts, events, logs, incidents, and topology data.
Build and maintain software, automation, and platform services that improve Network AIOps platform reliability, data quality, and operational effectiveness.
Develop and enhance ingestion pipelines, normalization logic, enrichment workflows, and data transformation processes used to support event correlation and operational intelligence.
Partner with networking teams to onboard data sources from routers, switches, firewalls, controllers, cloud networking environments, and related monitoring systems.
Improve observability and operational support for the Network AIOps platform through dashboards, alerting, health checks, tracing, and diagnostics.
Support operational use cases such as incident tri

📌 Network AI OPs Engineer (India)
🏢 Synapse XTL
📍 India