Uday Bukke

Proficient in leveraging automation to enhance security posture and streamline DevOps Pipelines Embedded AWS QuickSight dashboards into Python Flask application with Okta OAuth, enabling secure role-based data for end users via the domain URL Designed and implemented ETL workflows with AWS Glue and Spark, processing data and managing dynamic schema updates Built CI/CD pipelines using Jenkins and GitHub for multi-environment deployments (Dev, QA, Prod) with automated testing Secured applications using SSL/TLS with AWS ACM and ALB, implementing HTTPS traffic and automated certificate management Integrated SAST and DAST security scanning into CI/CD pipelines, reducing vulnerabilities by 40% in early SDLC stages Automated cloud governance policies using Terraform, achieving 25% cost optimization and ensuring compliance across all environments Implemented and maintained AST tools including SAST, DAST, and IAST to identify vulnerabilities across the software development lifecycle. Integrated application security tooling into enterprise CI/CD pipelines, ensuring automated vulnerability detection and remediation workflows. Environment: AWS (Lambda, Glue, QuickSight, Athena, ALB, ACM), Python, Flask, Terraform, Jenkins, Git, SQL, WIZ, Splunk

Implemented CI/CD pipelines using Bitbucket, Bamboo, Quay, and Argo CD for containerized applications on Kubernetes and OpenShift Managed infrastructure as code using Terraform, reducing deployment time by 60% and ensuring configuration consistency Orchestrated more than 50 microservices deployments using Kubernetes, Helm charts, and OpenShift across multiple environments Integrated security scanning with Snyk and SonarQube into build pipelines, maintaining 95% code quality standards Designed and optimized GitLab-based CI/CD pipelines for cloud deployments, improving release management efficiency and reducing deployment errors Provided on-call production support and conducted RCA for critical incidents Developed automated processes for finding management using ASPM solutions to centralize and deduplicate security findings across multiple platforms. Designed and optimized secure CI/CD pipelines leveraging GitHub Actions and Azure DevOps to enforce compliance and security standards. Performed Linux administration tasks including user management, patching, and system monitoring Monitored production systems using Splunk and Datadog, achieving 99.9% uptime and reducing MTTR by 35% Environment: Kubernetes, OpenShift, Bamboo, Argo CD, Terraform, AWS, Helm, Splunk, Datadog, Python, Bash, MongoDB

Managed VMware infrastructure with 200 VMs, implementing patch management and security updates to maintain compliance Developed disaster recovery procedures and automated backup solutions, ensuring 99.95% data availability Administered Active Directory infrastructure supporting 5000 users and performed system upgrades with zero downtime

Automated CI/CD deployments using Jenkins, reducing release cycles from weeks to days and increasing deployment frequency by 300% Created Ansible playbooks for infrastructure configuration management across 100 servers, ensuring consistency and compliance Built Docker images and Jenkins pipelines for automated application deployment to AWS environments Configured AWS CloudWatch alarms for monitoring server performance, CPU utilization, and disk usage across 50 EC2 instances Automated security workflows using Python scripts to streamline vulnerability scanning and reporting for large-scale enterprise environments. Environment: Jenkins, Docker, Ansible, AWS (EC2, S3, ELB, Route53, CloudWatch), Git, Maven, Terraform, Nagios

Implemented automated CI/CD pipeline using AWS CodePipeline and CodeDeploy, running unit tests across multiple environments Managed AWS infrastructure including EC2, S3, ELB, Auto Scaling, and security groups for high availability Configured Jenkins with Git plugin and Maven for automated builds and deployments to Tomcat servers on AWS