OSS & Autonomous Network Engineer

This role focuses on building OSS intelligence and AIOps capabilities to support autonomous network operations. The OSS & AIOps Engineer will work on inventory intelligence, alarm correlation, fault management, performance KPI modelling, data aggregation, event processing, and AI-assisted assurance workflows across mobile, fixed, transport, cloud, and service domains., * Design and implement OSS intelligence capabilities for autonomous network operations.

• Build automated inventory models using topology, configuration, service, resource, and dependency data.
• Develop alarm correlation, event enrichment, deduplication, suppression, and root-cause analysis workflows.
• Define and implement performance KPI aggregation models across RAN, Core, Transport, IP, SD-WAN, Cloud, and OSS domains.
• Support AIOps use cases including anomaly detection, fault prediction, incident prioritisation, event correlation, and service impact analysis.
• Integrate OSS platforms with data pipelines, AI/ML platforms, orchestration platforms, and automation engines.
• Develop data aggregation pipelines from EMS/NMS, assurance tools, inventory systems, telemetry platforms, ticketing systems, and log platforms.
• Support closed-loop automation by providing high-quality operational state, fault context, topology context, and KPI insights.
• Implement TMF Open API-based integrations for inventory, alarm, performance, service, and trouble ticket processes.
• Work with AI/LLM engineers to enable RAG and agentic AI use cases using OSS data.
• Define service-impact models and dependency maps for network services and customer services.
• Support digital twin and graph-based topology modelling for autonomous network decisioning.
• Establish data quality checks, reconciliation rules, and operational data governance practices.

• Experience in OSS engineering, network assurance, AIOps, telecom operations, or service assurance.
• Strong experience with fault management, alarm correlation, performance management, inventory, and service assurance.
• Experience working with multi-vendor OSS platforms and network management systems.
• Understanding of telecom domains such as RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and fixed networks.
• Experience with AIOps concepts including anomaly detection, event correlation, incident prediction, and root-cause analysis.
• Experience integrating OSS systems using APIs, data pipelines, message queues, and event-driven architectures.
• Understanding of TMF Open APIs and telecom data models.
• Strong knowledge of network KPIs, service KPIs, alarm models, topology, and inventory data.
• Experience with data aggregation, cleansing, enrichment, and reconciliation.

Required Technical Skills

• OSS assurance and inventory systems.
• Fault and alarm correlation.
• Performance KPI modelling.
• AIOps basics.
• Data pipelines and data aggregation.
• TMF Open APIs.
• Inventory modelling and reconciliation.
• Event enrichment and root-cause analysis.
• Telecom topology and service dependency modelling.
• Graph-based data models.
• Python or similar scripting language.
• API integration and event processing.

Preferred Certifications

• TM Forum Open API certification.
• TM Forum Autonomous Networks training or certification.
• ITIL, DevOps, or SRE certification.
• Relevant OSS, cloud, or data engineering certifications.

Nice-to-Have Qualifications

• Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, IBM, Splunk, Dynatrace, Moogsoft, BigPanda, or similar OSS/AIOps platforms.
• Experience with graph databases, vector databases, semantic search, and knowledge graphs.
• Experience with Google BigQuery, Vertex AI, Kafka, Pub/Sub, Elasticsearch, OpenSearch, or similar platforms.
• Experience enabling LLM-based network operations assistants or autonomous agents.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.