Senior AIOps SME

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) Strong 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 modern 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 environment that supports productivity and innovation.