OSS & Autonomous Network Engineer

Capgemini; Abingdon; On-site; GBP 70,000 - 120,000; Full time

Job summary

Capgemini in the United Kingdom is seeking an OSS & AIOps Engineer to build autonomous network operations capabilities across OSS, inventory, alarm, and performance domains.

You will design data pipelines, integrate TMF Open APIs, and collaborate with AI/LLM teams to enable RAG-driven workflows in multi‑vendor environments.

The role offers a hybrid working model with exposure to global telecom customers and advanced assurance platforms.

Qualifications

• Experience in OSS engineering, network assurance, AIOps, or telecom operations.
• Strong experience with fault management, alarm correlation, and performance management.
• Experience with multi‑vendor OSS platforms and network management systems.
• Understanding of RAN, Core, Transport, IP/MPLS, SD‑WAN, Cloud, and fixed networks.
• Experience with APIs, data pipelines, and event‑driven architectures for OSS.
• Understanding of TMF Open APIs and telecom data models.
• Knowledge of network KPIs, service KPIs, alarm models, topology, 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 performance KPI aggregation models across RAN, Core, Transport, IP, SD‑WAN, Cloud, OSS.
• 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 engineering

AIOps

Network assurance

APIs integration

Data pipelines

Python

Graph databases

KPI modelling

Tools

TMF Open APIs

Graph databases

Kafka

Elasticsearch/OpenSearch

Vertex AI / Google Cloud

Splunk/Dynatrace integration

Pub/Sub

Job description

Your Role

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.

Key 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.

Your Profile

• 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.

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.

Make it real – what does it mean for you?

• 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

Need to know

• 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.