Autonomous Network & OSS Intelligence Engineer

Capgemini Engineering; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Disability confident employer

Job summary

Capgemini is seeking an OSS & AIOps Engineer to build autonomous network operations capabilities across mobile, fixed, transport, cloud, and service domains. You will own inventory intelligence, alarm correlation, and KPI modelling while integrating data pipelines and AI workflows.

Based in Greater London with hybrid work, you will collaborate with multi-vendor OSS platforms, define service-impact models, and support digital twin topology for next-gen assurance.

Qualifications

• 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.

Responsibilities

• 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.

Skills

OSS assurance

inventory systems

fault and alarm correlation

performance KPI modelling

AIOps basics

data pipelines

TMF Open APIs

inventory modelling

event processing

graph-based data models

Python

Tools

Graph databases

Vector databases

Semantic search

Knowledge graphs

Google BigQuery

Vertex AI

Kafka

Pub/Sub

Elasticsearch

OpenSearch

Job description

Capgemini is seeking an OSS & AIOps Engineer to build autonomous network operations capabilities across mobile, fixed, transport, cloud, and service domains. You will own inventory intelligence, alarm correlation, and KPI modelling while integrating data pipelines and AI workflows.

Based in Greater London with hybrid work, you will collaborate with multi-vendor OSS platforms, define service-impact models, and support digital twin topology for next-gen assurance.