Shilpa Kumari Brij Kishor Singh

• Developed and maintained CI/CD pipelines using GitLab CI for microservices, enabling faster and reliable deployments across environments. • Built Infrastructure as Code using Terraform to provision and manage AWS resources including EKS and RDS, ensuring consistent and reproducible environments. • Containerized applications using Docker and managed deployments on Kubernetes (EKS), improving scalability and resource utilization. • Implemented monitoring and observability using Prometheus and Grafana, providing real-time visibility into system performance and infrastructure health. • Improved centralized logging using the ELK stack (Elasticsearch, Logstash, Kibana), reducing mean time to resolution for production incidents. • Automated operational workflows using Python scripts, minimizing manual effort and reducing errors in platform operations. • Designed and implemented backup and disaster recovery strategies for AWS RDS to ensure data integrity and high availability. • Strengthened cloud security by implementing IAM best practices and secure network configurations within AWS. • Integrated CI/CD workflows with GitHub repositories and Jira, improving release management and deployment predictability. • Developed AWS Lambda functions for event-driven backend tasks, optimizing cost and scalability for data processing workloads.

• Developed and maintained CI/CD pipelines using GitHub Actions for automated deployments to AWS EKS, accelerating software release cycles. • Managed multi-cloud infrastructure across AWS and Google Cloud using Terraform, ensuring consistent and reproducible environments. • Designed and managed Kubernetes clusters on AWS EKS to host containerized applications, improving scalability and resource utilization. • Configured monitoring dashboards and alerts in Datadog to proactively detect performance bottlenecks and system issues. • Implemented centralized logging and analysis using Datadog Logs and Elasticsearch, improving incident response and root cause analysis. • Automated infrastructure provisioning with Terraform Cloud, significantly reducing environment setup time for development teams. • Optimized Docker images for production workloads, reducing image sizes and improving deployment efficiency in Kubernetes environments. • Strengthened container security by implementing automated vulnerability scanning with Trivy and security patching workflows. • Implemented access control policies and secrets management using HashiCorp Vault to protect sensitive data across environments. • Tuned database performance for PostgreSQL and Redis on AWS RDS, improving application response times for critical services.