26 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and implement end-to-end AIOps and observability architectures across RAN, Core, Transport, and IP networks.
- Develop event correlation, anomaly detection, predictive analytics, fault management, and root cause analysis solutions.
- Architect and deploy closed-loop automation and self-healing workflows for Autonomous Network initiatives.
- Design alarm and event management frameworks covering collection, enrichment, correlation, suppression, and automation.
- Integrate AIOps platforms with EMS/NMS, OSS/BSS, inventory, ITSM, and CMDB systems.
- Implement automated incident creation, intelligent ticket routing, and service assurance workflows.
- Apply AI/ML and generative AI technologies to predictive maintenance, operational insights, and RCA copilots.
- Define observability strategies for logs, metrics, traces, events, and streaming telemetry.
- Support production environments through correlation tuning, model optimization, and operational improvements.
- Lead PoCs, innovation initiatives, and customer-facing AIOps transformation programs.
- Define and track MTTD, MTTR, alarm noise reduction, automation coverage, and service availability KPIs.
- Collaborate with network operations, engineering, and platform teams; mentor technical teams and contribute to AIOps and Autonomous Networks strategy.
Requirements
- Strong experience in AIOps, network operations, fault management, and service assurance.
- Deep understanding of RAN, EPC/5GC Core, Transport, IP/MPLS, and 4G/5G networks.
- Experience with observability and monitoring platforms such as Splunk, Grafana, Prometheus, ELK, Dynatrace, Datadog, or AppDynamics.
- Hands-on experience with AIOps and correlation platforms such as Moogsoft, BigPanda, ServiceNow AIOps, Cisco Crosswork, or Ciena Blue Planet.
- Knowledge of alarm and event management, root cause analysis, incident correlation, and predictive maintenance.
- Experience integrating ServiceNow, BMC Remedy, Jira Service Management, and CMDB platforms.
- Knowledge of AI/ML concepts, anomaly detection, predictive analytics, and automation frameworks.
- Experience with APIs, streaming telemetry, Kafka, REST/SOAP integrations, and workflow automation.
- Understanding of TM Forum Autonomous Networks, closed-loop automation, and intent-based assurance.
- Experience in customer-facing solution architecture and transformation programs.
- Preferred experience with generative AI, LLMs, RAG, agentic AI, Python, Ansible, NETCONF/RESTCONF, telecom network automation, SRE practices, platform reliability engineering, OSS/BSS integration, and cloud-native observability.
- Preferred certifications include ServiceNow AIOps, Splunk Core or Enterprise, Cisco automation or network, ITIL v4, TM Forum, AWS, Azure, or GCP certifications.
Benefits
- Lead next-generation AIOps and Autonomous Network Transformation programs.
- Work with observability, AI/ML, generative AI, and closed-loop automation technologies.
- Collaborate with global telecom operators and industry experts on large-scale network transformation.
- Receive continuous learning, certification, and career growth opportunities in emerging telecom and AI technologies.
Tech Stack
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.