David O.

I am an experienced DevOps Engineer and Software Engineer with a unique ability to bridge the gap between software development and operational excellence. With a strong foundation in programming—proficient in Java, C/C++, and Python—I combine my legacy expertise with modern scripting and automation skills to deliver efficient and innovative solutions. In my current DevOps role, I design, deploy, and maintain cloud-native solutions, leveraging tools like Docker, Kubernetes, and Helm. I thrive on automating workflows, as demonstrated by my success in managing GitLab CI/CD pipelines for container vulnerability scanning and CVE detection. My expertise in Linux scripting and custom Helm template development ensures that my deployments are robust, scalable, and efficient. Throughout my career, I’ve built automation tools for customer data monitoring, analyzed complex systems using Python, and implemented core system changes in C/C++. My transition from developing enterprise-grade software to optimizing cloud environments reflects my adaptability and technical depth. I take pride in proactively identifying and solving problems to improve system performance and reliability. Key Skills: Programming: Java, C/C++, Python DevOps Tools: Docker, Kubernetes, Helm, GitLab CI/CD Scripting: Linux, Python, TCL Cloud & Monitoring: AWS, Prometheus, Grafana Achievements: Automated data collection systems, implemented scalable backup solutions, and streamlined Kubernetes deployments through custom tooling. I bring a rare combination of legacy programming knowledge and modern DevOps expertise, enabling me to lead and contribute to cutting-edge technology initiatives that ensure seamless integration and operational success.