Oss & autonomous network engineer Work, Jobs (with Salaries)

OSS & Autonomous Network Engineer
Capgemini Sogeti —London
- Hybrid work
- Master's degree
- Travel
- Scripting
OSS & Autonomous Network Engineer
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Travel
- Scripting
AI LLM Engineer - Autonomous Network
Capgemini Sogeti —London
- Hybrid work
- Master's degree
- Travel
- AI
AI LLM Engineer - Autonomous Network
Capgemini —Abingdon
- Hybrid work
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AI Data Scientist - Autonomous Network
Capgemini Sogeti —London
- Hybrid work
- Master's degree
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AI Data Scientist - Autonomous Network
Capgemini —Abingdon
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Automation & Platform Engineer
Capgemini Sogeti —London
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- Travel
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Automation & Platform Engineer
Capgemini —Abingdon
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OSS & Autonomous Network Engineer
Capgemini Sogeti —London
The OSS & AIOps Engineer will work on inventory intelligence, alarm correlation, fault management, performance KPI modelling, data aggregation, event processing…
OSS & Autonomous Network Engineer
Capgemini —Abingdon
The OSS & AIOps Engineer will work on inventory intelligence, alarm correlation, fault management, performance KPI modelling, data aggregation, event processing…

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OSS & Autonomous Network Engineer

Capgemini Sogeti -
London

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Job details

Permanent

Qualifications

Data integration
Law
Master's degree
Splunk
Scripting
Telecommunication
APIs
ServiceNow
Kafka
Root cause analysis
AI
Graph databases

Full 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 stillencourage 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 withCapgemini (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

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.

Capgemini. Make it real.

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 inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

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