Hi, I’m Sindhu Sneha, a results-driven DevOps Engineer with 3+ years of experience spanning across multi-cloud platforms (Azure, GCP, AWS). I specialize in Infrastructure as Code (Terraform), Kubernetes orchestration, and CI/CD automation to deliver secure, scalable, and reliable production systems. I also work with PostgreSQL and CloudNativePG, along with security and quality tools like Trivy and SonarQube to ensure compliance and operational excellence. After a decade in optometry, I pivoted into DevOps, quickly mastering cloud platforms and automation tools. I’m curious, continuously learning, and enjoy building efficient, reliable systems. I’m now expanding my toolkit to MLflow and AI-driven infrastructure innovation.

Sindhu Sneha

Hi, I’m Sindhu Sneha, a results-driven DevOps Engineer with 3+ years of experience spanning across multi-cloud platforms (Azure, GCP, AWS). I specialize in Infrastructure as Code (Terraform), Kubernetes orchestration, and CI/CD automation to deliver secure, scalable, and reliable production systems. I also work with PostgreSQL and CloudNativePG, along with security and quality tools like Trivy and SonarQube to ensure compliance and operational excellence. After a decade in optometry, I pivoted into DevOps, quickly mastering cloud platforms and automation tools. I’m curious, continuously learning, and enjoy building efficient, reliable systems. I’m now expanding my toolkit to MLflow and AI-driven infrastructure innovation.

Available to hire

Hi, I’m Sindhu Sneha, a results-driven DevOps Engineer with 3+ years of experience spanning across multi-cloud platforms (Azure, GCP, AWS). I specialize in Infrastructure as Code (Terraform), Kubernetes orchestration, and CI/CD automation to deliver secure, scalable, and reliable production systems. I also work with PostgreSQL and CloudNativePG, along with security and quality tools like Trivy and SonarQube to ensure compliance and operational excellence.

After a decade in optometry, I pivoted into DevOps, quickly mastering cloud platforms and automation tools. I’m curious, continuously learning, and enjoy building efficient, reliable systems. I’m now expanding my toolkit to MLflow and AI-driven infrastructure innovation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Tamil
Fluent
Hindi
Fluent

Work Experience

DevOps Engineer at Genworx.ai
January 1, 2025 - January 1, 2026
Managed and automated Google Cloud Platform (GCP) infrastructure, including GKE, Cloud Run, Cloud SQL, VPC, IAM, and Cloud Storage for production applications. Implemented Infrastructure as Code using Terraform for consistent, scalable environment provisioning. Built and maintained CI/CD pipelines with GitHub Actions. Deployed and managed Passbolt for secure, self-hosted secrets management, integrating RBAC and access control policies. Configured self-hosted GitHub runners to improve build performance, security, and cost efficiency. Defined organization-level permissions and roles to strengthen governance and access management across teams. Integrated Trivy and SonarQube for automated image scanning and code quality checks within CI/CD pipelines. Set up monitoring and observability using Prometheus, Grafana, and Cloud Logging, enabling proactive incident detection and performance insights. Managed PostgreSQL and CloudNativePG, Neo4j databases, including backup, restore, and performance
DevOps Consultant at Mediguru Global Solutions
March 1, 2023 - January 1, 2025
Designed and optimized CI/CD pipelines using Azure DevOps and Jenkins, automating build, test, and deployment workflows for consistent and reliable releases. Deployed and managed Kubernetes clusters (AKS) to ensure scalable, resilient, and cost-efficient hosting of containerized applications. Built and deployed Dockerized microservices, standardizing environments and improving delivery efficiency across development and production stages. Automated infrastructure provisioning with Azure DevOps pipelines, reducing manual configurations and accelerating deployment cycles. Supported ML model deployment pipelines on Azure, enabling data science teams to operationalize models within secure and scalable environments. Implemented and managed Azure Active Directory (AAD) for secure authentication, RBAC, and organizational policy enforcement. Configured SSL/TLS certificates and Nginx reverse proxy to secure client–service communication and improve API performance. Managed and automated databas

Education

B.S. Optometry at Elite School of Optometry, BITS Pilani
January 1, 2002 - January 1, 2006
B.S. Optometry at Elite School of Optometry, BITS Pilani
January 1, 2002 - January 1, 2006
DevOps Course at HCL GUVI (Incubated by IIT Madras & IIM Ahmedabad)
August 1, 2022 - February 1, 2023

Qualifications

Azure Fundamentals (AZ-900)
June 1, 2023 - February 4, 2026
Azure Fundamentals (AZ-900)
June 1, 2023 - February 4, 2026

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Healthcare, Education, Media & Entertainment