2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and implement OSS intelligence solutions for autonomous network operations.
- Build inventory, topology, service dependency, graph, and digital twin models.
- Develop alarm correlation, event enrichment, deduplication, suppression, root-cause analysis, and service impact workflows.
- Define KPI aggregation and performance models across RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and OSS domains.
- Support AIOps use cases including anomaly detection, incident prediction, event correlation, prioritization, and service impact analysis.
- Build data pipelines integrating EMS/NMS, inventory, assurance, telemetry, ticketing, and log platforms.
- Integrate OSS platforms with AI/ML, orchestration, automation, and event-driven systems.
- Implement TM Forum Open API integrations for inventory, alarms, performance, service assurance, and trouble-ticket management.
- Establish data quality, reconciliation, governance, and service dependency models.
- Develop plans for projects in the assigned area and facilitate teams toward agreed targets.
Requirements
- At least 7 years of experience in OSS engineering, network assurance, telecom operations, service assurance, or AIOps.
- Strong experience with fault management, alarm correlation, performance management, inventory, and service assurance.
- Experience with multi-vendor OSS/NMS environments.
- Knowledge of RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and Fixed Networks.
- Experience with AIOps, event correlation, anomaly detection, root-cause analysis, and incident prediction.
- Understanding of TM Forum Open APIs, telecom data models, inventory, topology, and service dependencies.
- Experience building data pipelines, integrations, and event-driven architectures.
- Knowledge of OSS assurance and inventory platforms, KPI modelling, graph databases, API integration, automation, and Python or similar scripting languages.
- Preferred certifications include TM Forum Open API, TM Forum Autonomous Networks, ITIL, DevOps, SRE, OSS, Cloud, AI, or Data Engineering certifications.
- Nice-to-have experience includes ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, IBM, Splunk, Dynatrace, Moogsoft, BigPanda, Kafka, Elasticsearch/OpenSearch, BigQuery, Vertex AI, vector databases, semantic search, knowledge graphs, and LLM-powered network operations solutions.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.