Saurabh Kayande

Cloud & DevOps Engineer specializing in AWS, Infrastructure as Code, Kubernetes, and CI/CD automation, with hands-on experience architecting scalable cloud infrastructure using Terraform and CloudFormation. Experienced in building cloud-native deployment platforms with Docker, Jenkins, Helm, and ArgoCD while implementing observability using Prometheus and Grafana. Improved deployment speed by 40%, reduced cloud infrastructure costs by 20%, and maintained 99.99% service availability through automation, monitoring, and resilient deployment practices.

Cloud DevOps Engineer (Intern) - Cravita Technologies Pvt Ltd - Pune

(2024-12 - 2025-12)

• Designed and automated multi-tier AWS infrastructure using Terraform and CloudFormation, provisioning VPCs, subnets, security groups, EC2, and S3 resources with modular Infrastructure-as-Code configurations to standardize environment provisioning and reduce setup time by 25%. Optimized infrastructure utilization and resource allocation through AWS Cost Explorer analysis, improving deployment consistency across environments while reducing cloud costs by 20%.
• Resolved build inconsistencies by optimizing Docker layer caching, reordering Dockerfile instructions, and isolating dependency layers to eliminate environment drift and improve build determinism in CI/CD pipelines strengthened container deployment security through multi-stage builds, minimal base images, non-root container execution, immutable image tagging, and automated vulnerability scanning before registry publication, ensuring secure, reproducible releases across environments.
• Diagnosed post-deployment latency and request failures in Kubernetes by analyzing pod initialization and traffic routing; implemented startup probe configuration, readiness validation (DB connections, config loading), Helm-based rolling updates, and horizontal pod autoscaling to prevent premature request handling and ensure stable, zero-downtime rollouts—improving deployment speed by 40% and maintaining 99.99% production uptime.
• Automated a multi-region cloud infrastructure using Ansible, managing over multiple servers across AWS. Developed playbooks for, application deployment, and security hardening, reducing provisioning time from 2 hours to 30 minutes per server and ensuring compliance with enterprise standards for high-availability systems.
• Assisted in engineering Jenkins pipelines with Maven automating build, test, and deployment processes for a Java-based app.

Integrated

Git for version control, slashing release cycles by 35% and ensuring code quality with 95% test coverage.

• Diagnosed production incidents by correlating Kubernetes events, Prometheus metrics, and Grafana dashboards; engineered custom alert rules for pod health, resource saturation, and service latency, reducing incident detection time by 40%, improving root-cause analysis, and contributing to 99.99% production uptime.
• Developed Python and Bash scripts to automate server provisioning and alerting, cutting manual tasks by 50%. Wrote shell scripts to streamline log parsing, boosting system monitoring efficiency by 30% in production environments.
• Optimized DNS configurations and integrated CloudFront for content delivery, improving application performance and latency for users.

Bachelor of Engineering - Computer Science - University Of Pune (2019 - 2023)