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Teja Gandreti

@tejagandreti

Message

Production Support Engineer at GlobalLogic sustaining 99.9%+ uptime for Fluent Commerce OMS and cutting MTTR by 25%.

India

Message

At GlobalLogic, I monitor AWS-hosted Fluent Commerce OMS services and resolve 40+ P1/P2 incidents a month within SLA. I’ve sustained 99.9%+ uptime and reduced MTTR by 25% through structured root-cause analysis and permanent-fix tracking.

I built monitoring dashboards and alerts across CloudWatch, Grafana, Prometheus, New Relic, Datadog, and ELK, and automated log analysis and alert triage with Python and Bash. At JD Sports Fashion India LLP, I supported e-commerce and order-management services, using SQL to investigate transaction and fulfilment issues.

Experience

Work history, roles, and key accomplishments

Current

Production Support Engineer (L2/L3)

Current

GlobalLogic

Oct 2024 - Present (2 years)

Monitor and own the health of AWS-hosted SaaS order-fulfilment and integration services, sustaining 99.9%+ uptime. Resolve 40+ P1/P2 incidents a month within SLA/OLA, reducing MTTR by 25% through structured RCA and automation.

AWS Cloudwatch Grafana Prometheus New Relic Datadog ELK Python BASH Kubernetes Amazon EKS Docker Terraform Jenkins Jira SQL GraphQL REST APIs Incident Management Root Cause Analysis Run Books CI CD

Technical Support Analyst – L2

JD Sports Fashion India LLP

Jun 2022 - Oct 2024 (2 years 4 months)

Supported a global e-commerce platform and AWS-hosted order-management services, investigating order-processing errors, payment failures, API issues, webhook failures and fulfilment rejections. Reduced MTTR by 30% with clear escalation paths and reusable diagnostic runbooks.