Tech S and T-AI Ops Engineer-Senior-GDSN02

About the role

Stay current with emerging trends in AIOps, observability, cloud-native operations, and AI-driven automation, and drive their adoption within the organization. We use the following session cookies, which are all required to enable the website to function: "careerSiteCompanyId" is used to send the request to the correct data center

What you'll do

• Design and maintain ML models in Python for anomaly detection, predictive analytics, and operational forecasting, ensuring scalability and accuracy
• Build and optimize real-time and batch data pipelines using Apache Kafka, Logstash, and Fluentd to process logs, metrics, and traces from distributed systems
• Collaborate with DevOps, SRE, and platform engineering teams to embed AIOps capabilities into CI/CD workflows and infrastructure-as-code practices
• Drive automation of operational tasks and remediation workflows using Python, Azure Functions, and orchestration tools to enable self-healing systems
• Develop dashboards and visualizations using Grafana, Kibana, or Power BI to deliver actionable insights to engineering, operations, and business teams

What you need

• 9–16 yrs of experience
• Machine learning
• Python
• SQL
• AWS
• Kafka
• ETL
• B.Tech or B.E. or B.Sc or Chartered Accountant

Good to have

• Spark
• Redshift
• BigQuery
• CI/CD
• Grafana
• Azure