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Salary
≈ $16k – $36k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 10, 2026. Capgemini scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Job Description

OSS & AIOps Engineer

Role Summary

The OSS & AIOps Engineer will build OSS intelligence and AIOps capabilities to support autonomous network operations. The role focuses on inventory intelligence, alarm correlation, fault management, KPI modelling, data aggregation, event processing, service assurance, and AI-assisted operational workflows across mobile, fixed, transport, cloud, and service domains.

Your Role:

  • Design and implement OSS intelligence solutions for autonomous network operations.
  • Build inventory and topology models using configuration, resource, service, and dependency data.
  • Develop alarm correlation, event enrichment, deduplication, suppression, root-cause analysis, and service impact workflows.
  • Define and implement KPI aggregation and performance models across RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and OSS domains.
  • Support AIOps use cases including anomaly detection, incident prediction, event correlation, prioritization, and service impact analysis.
  • Build data pipelines integrating EMS/NMS, inventory systems, assurance tools, telemetry platforms, ticketing systems, and log platforms.
  • Integrate OSS platforms with AI/ML, orchestration, automation, and event-driven systems.
  • Implement TM Forum Open API integrations for inventory, alarm, performance, service assurance, and trouble ticket management.
  • Support closed-loop automation through operational state, topology context, fault insights, and KPI intelligence.
  • Enable AI/LLM, RAG, knowledge graph, and agentic AI use cases using OSS data.
  • Establish data quality, reconciliation, governance, and service dependency models.
  • Support graph-based topology modelling and digital twin initiatives.

Required Experience

  • 7+ years in OSS engineering, network assurance, telecom operations, service assurance, or AIOps.
  • Strong experience in fault management, alarm correlation, performance management, inventory, and service assurance.
  • Experience with multi-vendor OSS/NMS environments.
  • Knowledge of telecom domains including RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, and Fixed Networks.
  • Experience with AIOps, event correlation, anomaly detection, root-cause analysis, and incident prediction.
  • Understanding of TM Forum Open APIs, telecom data models, inventory, topology, and service dependencies.
  • Experience building data pipelines, integrations, and event-driven architectures.

Technical Skills

  • OSS assurance and inventory platforms
  • Alarm and fault correlation
  • Performance KPI modelling and analytics
  • AIOps concepts and event processing
  • Data aggregation, enrichment, and reconciliation
  • TMF Open APIs
  • Inventory and topology modelling
  • Root-cause analysis and service impact modelling
  • Graph databases and graph-based data models
  • API integration and automation
  • Python or similar scripting languages

Preferred Certifications

  • TM Forum Open API Certification
  • TM Forum Autonomous Networks Certification
  • ITIL, DevOps, or SRE Certifications
  • Relevant OSS, Cloud, AI, or Data Engineering Certifications

You’ll Love About Working Here

We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.

Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.

You’ll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.

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