Cloud & DevOps Engineer | AWS & Azure | Terraform | Kubernetes | Reduced Deployment Time by 40% | Docker | CI/CD | Building Scalable, Secure, and Automated Cloud Infrastructure | 4 Years Experience
Visakhapatnam Rural, Andhra Pradesh, India

Bachelor of Technology - BTech, Computer Science
Miracle Educational Society
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Download Tal BossCloud & DevOps Engineer | AWS & Azure | Terraform | Kubernetes | Reduced Deployment Time by 40% | Docker | CI/CD | Building Scalable, Secure, and Automated Cloud Infrastructure | 4 Years Experience
Cloud & DevOps Engineer with 4 years of experience designing, automating, and managing scalable cloud infrastructure across AWS and Azure. I specialize in building reliable, secure, and automated systems using Infrastructure as Code (Terraform), CI/CD pipelines, and containerization. + Key Achievements: • Reduced deployment time by 40% by implementing automated CI/CD pipelines • Improved system scalability by 30% while reducing infrastructure costs by 15% • Maintained 99.9% uptime through robust monitoring and alerting solutions • Reduced incident response time by 35% using Grafana & CloudWatch + Core Expertise: • AWS & Azure Cloud Architecture • Infrastructure as Code (Terraform) • CI/CD (Jenkins, AWS CodePipeline, Azure DevOps) • Containerization (Docker, Kubernetes) • Monitoring & Logging (Grafana, CloudWatch) • Cloud Security (IAM, WAF, RBAC) I enjoy solving real-world production challenges, optimizing cloud systems, and building scalable platforms. ---- Open to DevOps / Cloud Engineer opportunities ----
Visakhapatnam Rural mandal
Cloud and DevOps Engineer at Miracle Software Systems, Inc, Jul 2022 - Present · 4 yrs, Visakhapatnam Rural, Andhra Pradesh, India, ● Designed and deployed cloud-native applications on AWS and Azure with a focus on automation, scalability, and security, aligning with dynamic business requirements. ● Managed microservices using Docker and Kubernetes, enabling scalable, resilient, and easy-to-maintain deployments in production environments. ● Automated infrastructure provisioning with Terraform and AWS CloudFormation, significantly reducing manual efforts and accelerating deployment cycles. ● Implemented secure and efficient CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeCommit, as well as Azure Pipelines, enhancing release velocity and reliability. ● Enhanced system security and compliance by configuring AWS IAM, Secrets Manager, WAF, and private subnets to ensure secure handling of sensitive data. ● Built real-time data workflows and monitoring solutions using AWS Cloud Watch and Grafana, ensuring system observability and quick incident response. ● Supported production systems (L1/L2), handling 20+ incidents per week and maintaining system uptime above 99%.
Bachelor of Technology - BTech, Computer Science, Miracle Educational Society