OSS & Autonomous Network Engineer
8 days ago
Abingdon
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., • 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., • TM Forum Open API certification., • TM Forum Autonomous Networks training or certification., • ITIL, DevOps, or SRE certification., • Relevant OSS, cloud, or data engineering certifications., • 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. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply – your unique experience could be just what we need. • Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies), • Open access to digital learning platforms, • Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini, • All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting., • Location: This is a permanent role with Capgemini, offering a hybrid working model. The client is based in Newbury and occasional travel to the client site will be required., • You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role., • Please opt in during the application process. #J-18808-Ljbffr