# Sridhar Jonnalagadda > Agentic AI | ML | GPU Programming | Cloud-Native Architecture | Systems & Networking | Distributed Systems | Leadership Location: Dublin, California, United States Profile: https://flows.cv/sridharjonnalagadda Over two decades, I've evolved from hands-on software engineer to technical leader and mentor, spanning the full technology stack—from programming Broadcom ASIC chips for data center infrastructure to architecting cloud-native services and integrating LLMs into workflows. My leadership centers on people development and organizational impact. I've mentored engineers at all levels—from guiding early-career developers to shepherding design reviews for senior engineers and evaluating principal engineer promotion packets. I've led initiatives improving productivity for 150+ engineers, owned engineering tooling and third-party software upgrade strategies, and driven VM appliance hardening and standardization across products. I've led cross-functional teams to modernize monolithic systems into scalable, multi-tenant cloud-native architectures with comprehensive observability and championed engineering excellence through CI/CD frameworks, testable code practices, and DevOps culture—always balancing strategic vision with hands-on execution. My technical expertise spans application security (FIPS 140 compliance), SaaS-ready cloud-native development including multi-tenant isolation and observability instrumentation, full-stack development across management, control, and data planes, and explorations in distributed systems including implementing PAXOS-based consensus algorithms. This breadth enables me to lead with credibility, build operationally observable systems, and align diverse stakeholders to deliver business-critical solutions that meet customer needs. I lead through influence rather than authority—shepherding teams through change, mentoring with persistence, and delivering incremental value that fosters continuous learning, builds credibility, and drives lasting organizational transformation. Developed ML models in Georgia Tech OMSCS, implementing Decision Trees, SVM, k-NN, and PyTorch neural networks; performed EDA, class-imbalance mitigation, and evaluation with ROC-AUC/PR-AUC/F1 while analyzing optimizer behavior (SGD, Adam, AdamW) and randomized optimization (GA, SA, RHC). ## Work Experience ### Principal Engineer @ Juniper Networks Jan 2023 – Present | Santa Clara, CA Developing AI agents using MCP protocol to autonomously troubleshoot anomalies detected by the analytics system monitoring the network fabric. Built a Broadcom ASIC introspection tool to streamline the triaging of packet forwarding rules. This tool supports QFX switches with TD4, TH4, and TH5 ASICs, and consolidates nearly 1,000 non-SQL-style relational tables into a unified, single-pane-of-glass interface for efficient debugging and troubleshooting. Accelerated build workflows by designing a scalable and reliable Bazel remote cache, reducing build times from over an hour to just 10 minutes. ### Staff Engineer - II @ VMware Jan 2018 – Jan 2023 | Palo Alto, CA Co-led company-wide hybrid cloud initiative, driving technical and organizational alignment across engineering, product, and platform teams to unify three disparate solutions into a cohesive API platform leveraging Kubernetes CRDs and the desired state pattern. Drove cross-organizational alignment between engineering, compliance, and business teams to implement and operationalize FIPS 140 compliance for the VCF product, enabling secure deployments in regulated markets and supporting strategic business expansion. Led cross-geo build optimization initiative impacting 150+ engineers across multiple teams, driving technical alignment to design a runtime-aligned code layout that enabled parallel builds and reduced build time by 67% (from 60 to 20 minutes) while eliminating technical debt. Owned platform-wide modernization initiatives including JDK upgrades, third-party library updates, and VM appliance consolidation, ensuring security, stability, and operational efficiency across major product releases. Simplified the customer upgrade process by merging JDK and appliance consolidation initiatives—balancing the short-term engineering cost of coordinated releases against long-term customer experience gains and reduced operational complexity. ### Staff Engineer - I @ VMware Jan 2014 – Jan 2018 Aligned engineering and operations teams to design a hub-and-spoke architecture for cloud-native MDM ancillary services, implementing and operationalizing microservices (ESR, AppScan, Apple App Metadata) supporting 2-3 million devices at scale. Architected a CD framework with generalized microservice templates that onboarded 10+ teams across the organization, providing a self-service platform to bootstrap and manage full lifecycle deployments in AWS with improved speed and reliability. Led development and drove cross-team alignment to implement CI automation for the core AirWatch monolith MDM product, integrating automated testing into daily workflows for 200+ developers across global teams. Designed and operationalized an end-user application catalog using a DevOps model, streamlining app discovery and deployment for enterprise users. Implemented multi-tenant cloud-native architecture with tenant isolation and instrumented services with AppDynamics for distributed tracing, metrics collection, and real-time observability across the platform. ### Software Engineer @ AirWatch Jan 2013 – Jan 2014 Led the design, implementation, and operationalization of scalable, stateless file streaming services to support MDM use cases in a fast-paced startup environment. ### Software Developer 4 @ T-Mobile Jan 2007 – Jan 2013 Led the design, implementation, and operationalization of 5 business initiatives. Re-architected the prepaid provisioning and billing system to support 9M users. ### Software Engineer @ Wipro Jan 2005 – Jan 2006 Worked on sustenance of SIP based Multimedia Communication Portfolio (MCP) product. ## Education ### OMSCS in Machine Learning Georgia Institute of Technology ### Master of Computer Applications (MCA) in Computer applications Pondicherry University ### Bachelor of electronics (B.Sc) in Mathematics, Physics and Electronics Andhra loyola college ### Plus 2 in Mathematics, Physics and Chemistry Board of Intermediate Education ## Contact & Social - LinkedIn: https://linkedin.com/in/sjonnalagadda --- Source: https://flows.cv/sridharjonnalagadda JSON Resume: https://flows.cv/sridharjonnalagadda/resume.json Last updated: 2026-04-12