Summary
Miranda Cheung is a DevOps engineer with 11 years of experience who combines a UC Berkeley dual background in Computer Science and Cognitive Science with hands-on cloud and CI/CD expertise. At Veeva Systems she led AWS cost-optimization efforts that saved $38K+ annually, stabilized Jenkins pipelines to ~1% failure, and helped migrate thousands of engineers onto a secure internal DevOps portal. She brings a pragmatic automation mindset—designing artifact management and dependency-tracking systems—and a strong cross-functional orientation from research and nonprofit roles. Miranda’s work is informed by her cognitive-science training, which she uses to synthesize complex systems and improve developer workflows and documentation. Actively pursuing opportunities in software development and DevOps, she thrives in collaborative, fast-paced teams and often surfaces process-level improvements that aren’t obvious from code alone.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Computer Science and Cognitive Science, Bachelor of Arts - BA, Computer Science and Cognitive Science at University of California, Berkeley