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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # OSS & Autonomous Network Engineer - **Company:** CAPGEMINI - **Location:** Abingdon, UK - **Contract:** Permanent contract - **Skills:** Netcracker Digital OSS, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Data Validation, Data Deduplication, Information Engineering, Data Normalization, DevOps, Elasticsearch, Graph Database, Issue Tracking Systems, Inventory Management Software, Multi-protocol Systems, Python (Programming Language), Network Monitoring, Network Service, Operational Data Store, Queueing Systems, Azure Machine Learning, Search Technologies, Systems Integration, Wide Area Networks, Digital Twin, Scripting, Computer Network Operations, Large Language Models, Event Driven Architecture, Wired Networks, Kubernetes, Complex Event Processing, Google Bigquery, Apache Kafka, Api Design, ArcSight Event Correlation, Splunk, Data Pipelines, Dynatrace, Servicenow - **Published:** July 16, 2026 - **Apply:** https://jobs.theguardian.com/job/10150675/oss-and-autonomous-network-engineer/ ## About the Role * 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. ## Description 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [JavaScript? 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