SATYA RAVI TEJA PUJARI

• Architected, provisioned, and maintained scalable, secure, and highly available AWS infrastructure using Terraform and CloudFormation, implementing Infrastructure as Code (IaC) principles to ensure consistency, repeatability, and version control across development, staging, and production environments.

• Automated infrastructure provisioning and management with Terraform manifests, significantly reducing manual errors and accelerating deployment cycles.

• Designed and implemented monitoring and observability solutions using AppDynamics, Prometheus, and Grafana for proactive system health tracking, custom dashboards, and alert rules tailored to business-critical metrics, ensuring high system availability and rapid incident resolution.

• Built and managed CI/CD pipelines using Jenkins (including Jenkins DSL), integrating tools like Docker, GitHub, and SonarQube for continuous integration and quality assurance.

• Enabled GitOps workflows using ArgoCD to manage Kubernetes application deployments on Amazon EKS, supporting declarative, version-controlled delivery pipelines.

• Containerized applications with Docker, managed Docker images in AWS ECR, and deployed workloads on EKS clusters using Helm charts for scalable and resilient environments.

• Implemented Kubernetes autoscaling including Cluster Autoscaler and Horizontal Pod Autoscaler to optimize resource allocation under varying traffic loads.

• Managed Kubernetes storage with PersistentVolumes (PV) and PersistentVolumeClaims (PVC), improving data persistence and availability for stateful applications.

• Automated operational workflows and scripts using Shell and Python, enhancing reliability, repeatability, and reducing manual intervention.

• Implemented and enforced access controls using RBAC and IAM policies across AWS and Kubernetes to ensure secure access and compliance.

• Integrated secrets management solutions like AWS Secrets Manager and Azure Key Vault to securely manage and rotate credentials and sensitive data.

• Configured AWS Instance Scheduler to automate start/stop of EC2 instances based on business hours, reducing unnecessary costs.

• Automated server and application configurations using Ansible for consistent patching, updates, and environment setup.

• Implemented Blue-Green deployment strategies to ensure zero-downtime releases and rollback capabilities.

• Supported collaborative development through Git and GitHub by enforcing branching strategies, code reviews, and version control practices.

• Configured centralized logging and monitoring using Fluentd, enhancing observability across distributed systems.

• Collaborated with development and QA teams to streamline release cycles, reduce downtime, and accelerate time-to-market.

• Implemented build caching strategies, resulting in a 72% reduction in build times and improved developer productivity.

• Designed and deployed dev/test infrastructure using Terraform and CloudFormation to enable consistent and isolated testing environments.

• Reduced cloud costs by up to 60% by leveraging AWS Instance Scheduler to automatically control non-production EC2 instance runtimes.

• Developed and maintained CI/CD pipelines using Azure DevOps to automate build, test, and deployment processes across multiple environments.

• Provisioned and managed Azure infrastructure using Terraform and ARM templates, ensuring consistency and scalability in resource deployment.

• Configured Azure Virtual Machines (VMs) including private VMs for backend services and monitoring workloads in secure environments.

• Managed Azure Virtual Network (VNet) and Azure DNS for secure, reliable, and isolated networking infrastructure.

• Configured Azure Monitor as a Grafana data source on private VMs to enable real-time system metrics, custom dashboards, and performance visibility.

• Enabled Point-in-Time Restore (PITR) for high availability and data recovery on:

• Azure SQL Database
• Azure Database for MySQL
• Azure Database for PostgreSQL
• Azure Cosmos DB

• Managed secure access to secrets and certificates using Azure Key Vault throughout the deployment lifecycle to ensure compliance and security.

• Implemented Azure Active Directory (Azure AD) authentication and enforced Role-Based Access Control (RBAC) to maintain secure and auditable access to Azure resources.

• Utilized Azure Blob Storage for efficient storage of deployment artifacts, application logs, and automated backups.

• Integrated Azure Monitor, Log Analytics, and Application Insights for centralized logging, telemetry, and observability across cloud-native workloads.

• Participated in performance tuning, alerting, and recovery automation, ensuring optimal performance and resiliency of business-critical systems.

• Supported infrastructure hardening initiatives by applying secure configurations, automating backup policies, and implementing resource tagging for operational governance.

• Assisted in designing and implementing CI/CD pipelines for automating application deployments on AWS EKS, streamlining development to production workflows.

• Supported the setup of GitHub Actions for continuous integration and basic security scanning to ensure code quality and early issue detection.

• Worked with Docker to containerize applications and deployed them using Kubernetes (EKS) under guidance, promoting consistent environments across teams.

• Contributed to DevSecOps practices by integrating Trivy for scanning Docker images, identifying vulnerabilities before deployment.

• Collaborated on using Terraform to provision AWS infrastructure and manage Kubernetes resources as code, enhancing consistency and reusability.

• Followed AWS security best practices including basic RBAC implementation and secure VPC networking configurations.

• Helped configure and manage Helm charts for deploying and maintaining Kubernetes applications, ensuring reusable and modular deployments.

• Participated in setting up monitoring and logging tools such as Prometheus, Grafana, and Fluentd for improved system observability and troubleshooting.

• Assisted in applying Kubernetes security policies including Pod Security Policies and Network Policies to strengthen workload isolation and compliance.