Your Role
Implement and maintain AI-driven systems for real-time monitoring, alerting, anomaly detection, and root cause analysis
Develop and train machine learning models using operational data (logs, metrics, events, traces)
Automate incident detection and remediation workflows (e.g., self-healing scripts, intelligent runbooks)
Collaborate with DevOps, SRE, and IT teams to integrate AIOps tools into CI/CD pipelines and cloud infrastructure
Design data pipelines that ingest, clean, and analyze high-volume system telemetry data
Evaluate and deploy AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk, BigPanda, DataDog)
Monitor model performance, manage retraining cycles, and ensure AI reliability

Your Profile
Experience in DevOps, SRE, or infrastructure automation roles
Proficiency in Python, Bash, or other scripting languages
Familiarity with AI/ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Solid understanding of observability stacks (e.g., Prometheus, Grafana, Splunk, OpenTelemetry)
Experience with public cloud platforms (AWS,



Azure, GCP) and infrastructure as code (e.g., Terraform, Ansible)
Hands-on experience with AIOps platforms or building ML-based incident response systems
Background in log analysis, time-series forecasting, or unsupervised anomaly detection
Knowledge of Kubernetes, container orchestration, and service mesh architectures
Exposure to ITSM/ITIL processes and how they integrate with AIOps
Ability to communicate ML results to operational teams and implement iterative improvements''a

What will you love working at Capgemini
Work with contemporary technologies across enterprisegrade digital solutions.
Grow your technical expertise through continuous learning and structured career paths.
Collaborate in highperforming engineering teams delivering solutions at scale.
Benefit from a flexible, professional work setting that supports productivity and innovation.

📌 Senior Aiops Sme Tamil Nadu
🏢 Capgemini
📍 Tamil Nadu