Pavlo H.

Certified DevOps Engineer with 6+ years of experience in building, automating, and optimizing mission-critical deployments. Managed cloud environments AWS, GCP, and Azure with Terraform for applications with millions of daily users, improving resource utilization by 40%. Ability to grasp technical concepts quickly and apply the knowledge in practice. DevSecOps Vaudax.ai, Chicago, IL *Apr 2024 - Present* • Pioneered the design and deployment of Infrastructure as Code (IaC) across AWS and GCP environments using Terraform and Ansible, promoting cross-functional alignment and enabling rapid, scalable infrastructure provisioning. • Defined a robust application stack of Node.JS, Next.JS, and Python, achieving seamless integration within GitLab and GitHub Actions to automate deployment processes on Kubernetes while enhancing deployment speed by 30%. • Drove a systematic security assessment utilizing SAST and DAST methodologies, identifying and remediating 15 critical vulnerabilities; the initiative established a robust security framework, positively influencing the security culture across the organization. • Designed a multi-node Redis cluster on Kubernetes, achieving data access times under 50 milliseconds; this improvement allowed over 5,000 daily active users to experience seamless application performance and faster load times. • Directed a multi-team initiative focused on deploying WAF systems throughout all development stages, including QA, STAGE, and PROD, which increased overall system resilience against external attacks—resulting in zero breaches reported during subsequent audits. • Executed a comprehensive integration of ArgoCD into the GitHub pipeline, enhancing deployment reliability and frequency. The upgraded process has simplified operations for a team of 20 developers, improving collaboration. • Orchestrated cloud environment configurations leveraging advanced features of Terraform within the AWS ecosystem; identified three primary bottlenecks causing delays, leading to tangible improvements in overall system performance metrics. • Migration of Azure services (ServiceBus, AppServices, Azure DevOps, AKS) to AWS environment, remodeling infrastructure as a result of cost efficiency—saving 25%. • Collaborated closely with the penetration testing team to identify and assess vulnerabilities in critical systems and applications, contributing to the development of enhanced security measures and ensuring compliance with industry standards. • Developed and optimized Python scripts for API integration and automation, reducing manual workload by 15%. Enforced a Python script to enable hourly real-time data ingestion through Azure File Storage; findings were instrumental in addressing the top three factors contributing to latency issues during application performance testing. • Analyzed risk management metrics through monitoring and automation: Loki, Grafana, and AWS CloudWatch. Senior DevOps Engineer Carrectly Auto Care, Chicago, IL *Dec 2021 - Apr 2024* • Orchestrated the transition to a Microservices architecture, eliminating code maintainability by 25%, allowing developers to focus on feature development rather than troubleshooting legacy code issues. • Migrated Kubernetes clusters to the latest version, implementing advanced security features that mitigated vulnerabilities and brought compliance levels to 100%, ensuring seamless integration with existing Jenkins pipelines. • Constructed scalable Kubernetes clusters across three environments utilizing Helm and Terraform, enabling deployments that allowed for quicker rollout of features and enhanced application reliability. • Monitored and analyzed the performance of AWS Kubernetes clusters utilizing Prometheus, Grafana, and CloudWatch; optimized resource allocation, reducing operational costs by 15% while improving system uptime. • Designed and enforced network segmentation using AWS firewall rules, improving traffic control between different environments (Dev, QA, Prod), enhancing the overall security posture. • Streamlined integration testing workflows by designing Python scripts to automate test execution, achieving consistent application validation and cutting manual testing efforts by 10%, boosting productivity and deployment reliability. • Integrated AWS Secrets Manager with CI/CD pipelines, securing access to sensitive credentials during the deployment process and minimizing human intervention. • Built an Azure serverless architecture to streamline resource management and optimize cost efficiency, ensuring scalable solutions for high-demand applications. • Implemented automation solutions using Python scripts for daily operations, resulting in a measurable 10% decrease in task execution time and improving overall efficiency across the DevOps team. • Automated rotation of secrets and access credentials using Python scripts, ensuring secure access by periodically generating and managing tokens, and integrating the process into CI/CD pipelines to maintain compliance and minimize security risks.