VENKATA PRASAD RAMALA
Hyderabad
Overview
9
9
years of professional experience
Work History
Cloud DevOps Engineer
Madul Tech Software Private Limited
05.2025 - Current
- Designed, deployed, and maintained scalable cloud infrastructure on Microsoft Azure using best practices.
- Built and managed CI/CD pipelines using Azure DevOps Pipelines, GitHub Actions, and Jenkins.
- Automated infrastructure provisioning across dev, stage, and prod environments using Terraform, ARM templates, and Bicep to enhance deployment consistency.
- Managed containerized applications using Docker and Kubernetes (AKS).
- Implemented GitOps-based deployments using Helm and ArgoCD/FluxCD for AKS workloads.
- Designed and operated high-availability AKS clusters with autoscaling and fault tolerance.
- Implemented comprehensive monitoring, logging, and alerting with Azure Monitor, Log Analytics, Application Insights, Prometheus, and Grafana to ensure system reliability.
- Performed production troubleshooting and root cause analysis to ensure high availability and reliability.
- Managed Azure core services including Virtual Machines, VNETs, NSGs, Load Balancers, Azure Storage, Azure SQL, App Services, and Azure Functions.
- Implemented cloud security best practices including Azure AD, RBAC, Managed Identities, Key Vault, and encryption.
- Integrated DevSecOps practices with security and vulnerability scanning in Azure DevOps pipelines.
- Optimized cloud cost and performance using Azure Advisor, autoscaling, rightsizing, and cost management.
- Supported event-driven microservices using Azure Event Hubs and Service Bus.
- Collaborated closely with development and QA teams to enable frequent, reliable releases.
- Administered Linux systems on Azure and developed automation scripts using Bash and Python.
- Built reusable Terraform modules for multi-region Azure deployments.
- Supported data platforms using Azure Data Factory, Azure Synapse, Azure Storage, and Azure Databricks.
- Implemented zero-downtime deployment strategies such as blue-green and rolling deployments in AKS and App Services.
- Worked on hybrid and multi-cloud architectures, integrating Azure with AWS and GCP where required. Ensured compliance with organizational security, governance, and regulatory standards using Azure Policy.
- Managed Azure Repos, Git branching strategies, pull requests, and code reviews.
- Supported high-traffic web and enterprise applications with strict SLA requirements.
- Applied SRE practices including SLIs, SLOs, incident management, and post-incident reviews.
- Automated build, test, and deployment pipelines for React, Python, and PySpark applications.
- Deployed and managed backend services, batch jobs, and streaming workloads on AKS.
- Designed and implemented disaster recovery, backup, and failover strategies with Azure Backup and Azure Site Recovery to safeguard data integrity and availability.
- Mentored junior DevOps engineers and improved platform reliability and delivery quality.
- Built AI/ML deployment pipelines supporting model packaging, training, and production deployment workflows.
- Integrated MLOps tools such as MLflow and Kubeflow to manage machine learning model lifecycle within CI/CD pipelines.
- Implemented data and model monitoring frameworks including drift detection and performance tracking for ML systems.
- Designed automated release management processes aligned with Agile and DevOps methodologies.
- Managed Git repositories and branching strategies such as GitFlow and trunk-based development for controlled code integration.
- Prepared deployment documentation,operational runbooks, and release procedures to support production environments.
- Collaborated with development,QA,and product teams to streamline delivery pipelines and accelerate software releases.
- Conducted proof-of-concept initiatives on emerging technologies including AIOps, MLOps, and advanced cloud automation frameworks.
Software Engineer
Capgemini
03.2022 - 05.2025
- Designed, deployed, and maintained scalable cloud infrastructure on Microsoft Azure using best practices.
- Built and managed CI/CD pipelines using Azure DevOps Pipelines, GitHub Actions, and Jenkins.
- Automated infrastructure provisioning using Terraform, ARM templates, and Bicep across dev, stage, and prod environments.
- Managed containerized applications using Docker and Kubernetes (AKS).
- Implemented GitOps-based deployments using Helm and ArgoCD/FluxCD for AKS workloads.
- Designed and operated high-availability AKS clusters with autoscaling and fault tolerance.
- Implemented monitoring, logging, and alerting solutions with Azure Monitor, Log Analytics, Application Insights, Prometheus, and Grafana to ensure system performance and reliability.
- Performed production troubleshooting and root cause analysis to ensure high availability and reliability.
- Managed Azure core services including Virtual Machines, VNETs, NSGs, Load Balancers, Azure Storage, Azure SQL, App Services, and Azure Functions.
- Implemented cloud security best practices including Azure AD, RBAC, Managed Identities, Key Vault, and encryption.
- Integrated DevSecOps practices with security and vulnerability scanning in Azure DevOps pipelines.
- Optimized cloud cost and performance using Azure Advisor, autoscaling, rightsizing, and cost management.
- Supported event-driven microservices using Azure Event Hubs and Service Bus.
- Collaborated closely with development and QA teams to enable frequent, reliable releases.
- Administered Linux systems on Azure and developed automation scripts using Bash and Python.
- Built reusable Terraform modules for multi-region Azure deployments.
- Supported data platforms using Azure Data Factory, Azure Synapse, Azure Storage, and Azure Databricks.
- Implemented zero-downtime deployment strategies such as blue-green and rolling deployments in AKS and App Services.
- Worked on hybrid and multi-cloud architectures, integrating Azure with AWS and GCP where required. Ensured compliance with organizational security, governance, and regulatory standards using Azure Policy.
- Managed Azure Repos, Git branching strategies, pull requests, and code reviews.
- Supported high-traffic web and enterprise applications with strict SLA requirements.
- Applied SRE practices including SLIs, SLOs, incident management, and post-incident reviews.
- Automated build, test, and deployment pipelines for React, Python, and PySpark applications.
- Deployed and managed backend services, batch jobs, and streaming workloads on AKS.
- Designed and implemented disaster recovery, backup, and failover strategies using Azure Backup and Azure Site Recovery to safeguard data integrity and ensure business continuity.
- Mentored junior DevOps engineers, enhancing platform reliability and delivery quality through knowledge sharing and best practices.
- Built AI/ML deployment pipelines supporting model packaging, training, and production deployment workflows.
- Integrated MLOps tools such as MLflow and Kubeflow to manage machine learning model lifecycle within CI/CD pipelines.
- Implemented data and model monitoring frameworks including drift detection and performance tracking for ML systems.
- Designed automated release management processes aligned with Agile and DevOps methodologies.
- Managed Git repositories and branching strategies such as GitFlow and trunk-based development for controlled code integration.
- Prepared deployment documentation,operational runbooks, and release procedures to support production environments.
- Collaborated with development,QA,and product teams to streamline delivery pipelines and accelerate software releases.
- Conducted proof-of-concept initiatives on emerging technologies including AIOps, MLOps, and advanced cloud automation frameworks.
Software Engineer
Certiview IT Management Solution Pvt Ltd
01.2018 - 03.2022
- Designed, deployed, and maintained scalable cloud infrastructure on Microsoft Azure using best practices.
- Built and managed CI/CD pipelines using Azure DevOps Pipelines, GitHub Actions, and Jenkins.
- Automated infrastructure provisioning using Terraform, ARM templates, and Bicep across dev, stage, and prod environments.
- Managed containerized applications with Docker and Kubernetes (AKS) to ensure seamless deployment and scalability.
- Implemented GitOps-based deployments using Helm and ArgoCD/FluxCD for AKS workloads.
- Designed and operated high-availability AKS clusters with autoscaling and fault tolerance.
- Implemented monitoring, logging, and alerting using Azure Monitor, Log Analytics, Application Insights, Prometheus, and Grafana.
- Conducted production troubleshooting and root cause analysis, enhancing system availability and reliability.
- Managed Azure core services including Virtual Machines, VNETs, NSGs, Load Balancers, Azure Storage, Azure SQL, App Services, and Azure Functions.
- Implemented cloud security best practices including Azure AD, RBAC, Managed Identities, Key Vault, and encryption.
- Integrated DevSecOps practices with security and vulnerability scanning in Azure DevOps pipelines.
- Optimized cloud cost and performance using Azure Advisor, autoscaling, rightsizing, and cost management.
- Supported event-driven microservices using Azure Event Hubs and Service Bus.
- Collaborated with development and QA teams to streamline release processes and support continuous integration and delivery.
- Administered Linux systems on Azure and developed automation scripts using Bash and Python.
- Built reusable Terraform modules for multi-region Azure deployments.
- Supported data platforms using Azure Data Factory, Azure Synapse, Azure Storage, and Azure Databricks.
- Implemented zero-downtime deployment strategies such as blue-green and rolling deployments in AKS and App Services.
- Worked on hybrid and multi-cloud architectures, integrating Azure with AWS and GCP where required. Ensured compliance with organizational security, governance, and regulatory standards using Azure Policy.
- Managed Azure Repos, Git branching strategies, pull requests, and code reviews.
- Supported high-traffic web and enterprise applications with strict SLA requirements.
- Applied SRE practices including SLIs, SLOs, incident management, and post-incident reviews.
- Automated build, test, and deployment pipelines for React, Python, and PySpark applications.
- Deployed and managed backend services, batch jobs, and streaming workloads on AKS.
- Designed and implemented disaster recovery, backup, and failover strategies using Azure Backup and Azure Site Recovery.
- Mentored junior DevOps engineers and improved platform reliability and delivery quality.
- Built AI/ML deployment pipelines supporting model packaging, training, and production deployment workflows.
- Integrated MLOps tools such as MLflow and Kubeflow to manage machine learning model lifecycle within CI/CD pipelines.
- Implemented data and model monitoring frameworks including drift detection and performance tracking for ML systems.
- Designed automated release management processes aligned with Agile and DevOps methodologies.
- Managed Git repositories and branching strategies such as GitFlow and trunk-based development for controlled code integration.
- Prepared deployment documentation,operational runbooks, and release procedures to support production environments.
- Collaborated with development,QA,and product teams to streamline delivery pipelines and accelerate software releases.
- Conducted proof-of-concept initiatives on emerging technologies including AIOps, MLOps, and advanced cloud automation frameworks.
Education
Bachelor of Technology -
JNTU Kakinda
Timeline
Cloud DevOps Engineer
Madul Tech Software Private Limited
05.2025 - Current
Software Engineer
Capgemini
03.2022 - 05.2025
Software Engineer
Certiview IT Management Solution Pvt Ltd
01.2018 - 03.2022
Bachelor of Technology -
JNTU Kakinda