LAKSHMI SRINIVAS NAGUBATHULA — DevOps Engineer

As an 𝗥𝗻𝗗 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, I specialize in transforming fragmented engineering workflows into intelligent, automated, and high-performing systems. My career has been built on one core belief: 👉 𝗜𝗳 𝗮 𝘀𝘆𝘀𝘁𝗲𝗺 𝗰𝗮𝗻 𝗯𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱, 𝗼𝗿 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗼𝗿 𝘀𝗽𝗲𝗲𝗱, 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗼𝗿 𝘀𝗰𝗮𝗹𝗲—𝗜'𝗹𝗹 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗵𝗮𝗽𝗽𝗲𝗻. Over the past 3 years at Synopsys, I’ve engineered automation frameworks, migrated CI/CD platforms, built distributed system monitoring pipelines, and debugged critical infrastructure issues across global R&D teams. My work has consistently delivered 𝗾𝘂𝗮𝗻𝘁𝗶𝗳𝗶𝗮𝗯𝗹𝗲 𝗶𝗺𝗽𝗮𝗰𝘁—from 𝟲𝟬% 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 to 𝟱𝟬% 𝗶𝗻𝗳𝗿𝗮 𝗰𝗼𝘀𝘁 𝘀𝗮𝘃𝗶𝗻𝗴𝘀 to 𝟰𝟬% 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗿𝗼𝘂𝗯𝗹𝗲𝘀𝗵𝗼𝗼𝘁𝗶𝗻𝗴. ✨ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 * Built enterprise-grade Python automation systems validating silicon simulation tools across ARM clusters, enabling scalable performance tracking. * Designed utilities to reproduce complex customer issues automatically—cutting down debugging cycles by 𝟰𝟬%. ✨ 𝗖𝗜/𝗖𝗗 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 * Led TeamCity adoption as the 𝙨𝙤𝙡𝙚 𝙥𝙞𝙤𝙣𝙚𝙚𝙧, migrating 𝟲𝟬% of legacy cron-based jobs to a centralized, observable CI/CD ecosystem. * Extended Jenkins infrastructure with new build nodes and automated pipelines, removing manual dependencies and improving reliability. ✨ 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 & 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 * Created monitoring pipelines with Grafana + InfluxDB, increasing hardware utilization by 𝟯𝟬% and improving system stability. * Enhanced load-balancing and resource-allocation patterns, resulting in 𝟱𝟬% 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗰𝗼𝘀𝘁 𝘀𝗮𝘃𝗶𝗻𝗴𝘀. ✨ 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 * Built a production-ready ReactJS + Python application with Okta authentication and automated data generation workflows. * Enabled teams to compute installation ROI, improving infrastructure decision-making. ✨ 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 & 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 * Performed crash log analysis, stack trace debugging, and memory profiling automation using Valgrind across multiple products—accelerating root-cause detection across global RnD teams.

Stackforce AI infers this person is a SaaS DevOps Engineer with expertise in automation and system design.

Location: Bangalore Urban, Karnataka, India

Experience: 2 yrs 10 mos