Rajasekhar reddy

• Highly available and fault-tolerant systems were built on AWS, designing complex infrastructures that seamlessly integrate EC2, S3, RDS, Lambda, ECS, EKS, VPC, and CloudFront services. AWS best practices were followed to ensure scalability and resilience across multiple availability zones. • Managed incident processes by conducting thorough root cause analysis and implementing preventive measures to minimize future occurrences. Developed an incident management framework that reduced system downtime and improved overall service reliability. • Built sophisticated monitoring and logging systems using Amazon CloudWatch, Prometheus, and Grafana, providing real-time visibility into application performance. Monitoring and logging solutions were integrated with alerting mechanisms to enable proactive issue resolution. • Developed comprehensive Infrastructure as Code (IaC) solutions using Terraform, automating the provisioning and management of cloud resources across multiple environments. Reusable Terraform modules were created to standardize infrastructure deployment and reduce configuration drift. • Improved performance of Java Spring Boot microservices through in-depth memory and CPU profiling to identify and resolve bottlenecks. Performance tuning techniques resulted in significant improvements in application response times and resource utilization. • Ensured cloud solutions adhered to security best practices and regulatory compliance standards by implementing robust IAM policies and leveraging AWS KMS for data encryption. Regular security audits and vulnerability assessments were conducted to maintain a strong security posture. • Work closely with DevOps teams to design and implement efficient CI/CD pipelines using Jenkins, GitLab, and Harness. The DevOps workflow was streamlined by automating build, test, and deployment processes across multiple environments. • Maintained comprehensive technical documentation, including detailed architecture diagrams, runbooks, and operational procedures. Documentation was kept up to date to facilitate knowledge sharing and ensure consistent operational practices across the team. • Applied expertise in container orchestration using Docker and Kubernetes to design and implement scalable microservices architectures. Container deployment strategies were optimized to improve resource utilization and application performance. • Used SRE principles to establish and maintain Service Level Objectives (SLOs) and Error Budgets, aligning technical operations with business goals. These practices significantly improved system reliability and reduced time to recovery (MTTR). • Created advanced automation scripts using Python and Bash to streamline infrastructure management and operational tasks. Reusable automation