# Venny Varma > Full Stack Software Engineer | Java, Spring Boot, React, TypeScript | AWS, Kubernetes, Terraform | Microservices, Kafka, GraphQL | AI/ML, TensorFlow, NLP, Data Pipelines Location: San Francisco, California, United States Profile: https://flows.cv/venny šŸ’» Full Stack Engineer (5+ yrs) specializing in Java, Spring Boot, React, AWS, and Kubernetes, building scalable, high-performance systems across E-commerce, AdTech, and enterprise domains. āš” Reduced API latency by 35% and improved throughput for 10K+ concurrent users through Spring Boot microservices and GraphQL optimization. ā˜ļø Cloud-native expert in AWS, Docker, Kubernetes (EKS), Terraform, with CI/CD pipelines (GitHub Actions, Jenkins, Helm) ensuring 99.99% uptime. šŸ§  Integrated AI/ML (TensorFlow, NLP, gRPC) pipelines that boosted product accuracy and user adoption by 40%. šŸ” Delivered secure, compliant systems with OAuth2/OIDC, JWT, and tokenizationā€”maintaining PCI-DSS, GDPR, and CCPA compliance with zero audit issues. šŸ“ˆ Designed event-driven architectures using Kafka and outbox patternsā€”cutting over-fetch by 30% and enhancing real-time data reliability. šŸŒ Hands-on with React.js, TypeScript, and Next.jsā€”improving UX, SEO, and user engagement by 25% through responsive, dynamic interfaces. šŸ§© Skilled in microservices, REST, and GraphQL APIs, transforming monolithic systems into distributed architectures that cut infrastructure costs by 20%. šŸ§Ŗ Advocate of TDD, BDD, and Agile delivery, increasing sprint velocity and mentoring cross-functional teams toward quality-driven releases. ## Work Experience ### Software Engineer - Full Stack @ Shopify Jan 2024 ā€“ Present | San Francisco, California, United States ā€¢ Created scalable Spring Boot microservices in Sidekick API performance effort, reducing API latency 35% while sustaining 10K+ concurrent users, enabling smoother, faster merchant-facing applications. ā€¢ Directed the Core Platform Migration program, transforming monolithic modules into event-driven Spring Boot microservices on AWS Lambda, reducing infrastructure costs by 20% in production environments. ā€¢ Integrated AI/ML NLP pipelines with TensorFlow Serving and gRPC, increasing query resolution accuracy by 40% and boosting merchant adoption of Sidekick AI features. ā€¢ Built secure payment flows with OAuth2/OIDC, JWT, RBAC, tokenization, and encryption across microservices, ensuring PCI-DSS compliance with zero audit issues. ā€¢ Designed scalable GraphQL APIs using the Netflix DGS framework and integrated Kafka event streams with outbox pattern for idempotency, cutting frontend over-fetch by 30% and improving dashboard reliability. ā€¢ Automated deployments of containerized microservices on Docker + Kubernetes (EKS) with CI/CD (GitHub Actions, Jenkins, Helm, Terraform), achieving 91% uptime during Black Friday traffic spikes and reducing infra overhead. ā€¢ Delivered responsive React + TypeScript UIs with SSR (Next.js), boosting user engagement by 25% and improving SEO rankings through structured meta-tagging. ā€¢ Adopted 12-factor app principles with observability stacks (Prometheus, Grafana, ELK) and feature flags, enabling safe canary rollouts and faster MTTR. ā€¢ Practiced Agile/Scrum delivery with TDD (JUnit, Mockito) and BDD (Cucumber), accelerating sprint velocity by 15% through pair-programming and automated testing ### Software Engineer @ Meta Jan 2023 ā€“ Jan 2024 | Texas, United States ā€¢ Developed and launched a real-time AdTech monetization system for Meta Smart Glasses using Java 11/17, Kafka, and Spring Boot, enabling voice-activated, AI-personalized ad experiences; increased CTR by 22% and contributed $3.2M to campaign ROI. ā€¢ Built secure in-glass shopping APIs integrating Meta Pay (rebranded 2022) and Amazon checkout services, enabling seamless commerce flows that increased smart glassesā€“driven purchases by 19% and reduced purchase time by 35%. ā€¢ Engineered a scalable telemetry pipeline using Kafka and gRPC to stream user interactions, improving Meta AIā€™s ad personalization capabilities and raising ad relevance scores by 27%. ā€¢ Designed and maintained backend microservices with Java 11/17, Spring Boot, and Redis to support 2M+ concurrent users, optimizing response times for high-availability, low-latency monetization endpoints. ā€¢ Deployed containerized services with Docker and Kubernetes, leveraging GitHub Actions (post-2019 release) and Helm for CI/CD automation; achieved 99.99% uptime and zero-downtime global rollouts. Implemented secure authentication with OAuth 2.0, JWT, and OpenID Connect for Meta Pay APIs and user sessions, ensuring compliance with GDPR and CCPA. ā€¢ Built dynamic React.js + TypeScript components for the mobile companion app, supporting AI-powered product recommendations that improved product interaction rates by 40%. ā€¢ Integrated real-time monitoring with Prometheus, Grafana, and OpenTelemetry (GA in 2021) to enhance system observability and reduce incident response time by 60%. ā€¢ Conducted ad performance analytics using Presto (Trino) and Spark SQL to segment 8M+ user behaviors, supporting weekly ad budget optimizations of $500K+. ā€¢ Collaborated with Agile/Scrum pods (AI/ML, product, security), showcasing cross-functional communication and architectural problem-solving that reduced backend API latency by 40%. ### Software Engineer @ IBM Jan 2020 ā€“ Jan 2023 | India ā€¢ Assisted in designing and developing RESTful APIs for seamless integration with enterprise platforms (ERP, CRM, partner systems), reducing integration effort by 25%. ā€¢ Supported creation of Spring Boot and Spring Cloud microservices, enabling modular architecture that reduced system downtime and improved platform scalability. ā€¢ Contributed to development of cloud-native solutions on AWS/Azure, ensuring secure, high-availability services that supported mission-critical enterprise applications. ā€¢ Built data transformation and synchronization pipelines using Apache Kafka and Apache Camel, improving system reliability and real-time data exchange across multiple platforms. ā€¢ Implemented data validation and governance workflows, ensuring compliance with GDPR and enterprise security policies, resulting in consistent, high-quality datasets. ā€¢ Assisted in modernization of UI components using React.js, HTML, CSS, and JavaScript, enhancing usability and reducing front-end defects by 20%. ā€¢ Supported containerization of applications using Docker and orchestration via Kubernetes, reducing manual deployments and improving release flexibility. ā€¢ Used Git for version control and Agile methodologies (Scrum, JIRA) to collaborate across distributed teams, accelerating development velocity and ensuring on-time delivery. ## Education ### Master's degree in Management Information Systems, General Northwest Missouri State University ### Bachelor's degree in Computer Science Lendi Institute of Engineering and Technology (LIET) ## Contact & Social - LinkedIn: https://linkedin.com/in/venny-varma-2a084637b --- Source: https://flows.cv/venny JSON Resume: https://flows.cv/venny/resume.json Last updated: 2026-04-01