Alisha Verma

DevOps & Platform Engineer with 4+ years of experience architecting cloud-native infrastructure on GCP, AWS, and Azure. Specializes in Zero-Drift Terraform infrastructure, GenAI/Vertex AI deployments, and DevSecOps automation. Proven record of cutting cloud costs, accelerating CI/CD delivery, and integrating enterprise SAP/ERP workflows with modern cloud tooling. Strong communicator who mentors junior engineers and drives cross-functional initiatives.

Platform & DevOps Engineer at AsInt (2025-01 – Present)

• Built Zero-Drift Terraform infrastructure for the Digital Wall Chart (DWC) platform — achieved a clean 'zero change' plan in production, eliminating configuration drift across all environments.
• Designed end-to-end CI/CD pipelines with GCP Cloud Build triggering zero-touch deployments to Cloud Run on every Git commit, reducing deployment time by ~60%.
• Spearheaded the 'AI Market Entry' initiative: deployed a multi-tenant Chatbot on GCP Vertex AI + Dialogflow CX with BigQuery analytics, enabling the company's first GenAI product offering.
• Automated SAP HANA / S/4HANA server start-stop schedules using Python/Bash + Cronjobs + Webhooks, cutting idle cloud compute costs by ~35%.
• Hardened security posture by migrating all hardcoded credentials to GCP Secret Manager and configuring SAML SSO between Microsoft Entra ID and GCP Identity Providers.
• Built a real-time operational alerting system integrating SAP server logs with Microsoft Teams, reducing mean incident response time by ~50%.
• Managed JFrog Artifactory dependency pipelines and mentored 3 junior engineers and interns on GCP architecture and Terraform best practices.

DevOps Engineer (Client: IBM) at Tata Consultancy Services (2021-08 – 2025-01)

• Provisioned and maintained cloud infrastructure on AWS and Azure using Terraform for multi-environment DevOps pipelines supporting 10+ microservices.
• Owned CI/CD workflows across Jenkins and Travis CI; diagnosed and resolved complex build failures to achieve a sustained 90%+ pipeline success rate (up from 75%).
• Managed custom Linux build environments — created Dockerised multi-zone build images that reduced environment-specific failures by ~40%.
• Led SDN regression testing and end-to-end deployment validation across dev, staging, and production environments for IBM networking bundles.
• Performed deep-dive packet loss debugging and deployment error analysis, reducing production rollbacks by 20%.

B.E. in Information Science & Engineering – JSS Academy of Technical Education, Bangalore (2021)