Java Full-Stack Developer - AI Backend Microservices

Vinay D

JAVA FULL-STACK DEVELOPER

650-***-**** ********************@*****.*** San Francisco, CA Linkedin Github Portfolio SUMMARY

Software Development Engineer with 5+ years of experience building large-scale distributed systems, AI-powered backend platforms, and cloud-native microservices. Expertise in Java, Spring Boot, Kafka, Kubernetes, AWS, and ML infrastructure, with hands-on experience integrating LLM retrieval systems, embedding services, and high-throughput data pipelines. Proven track record of delivering low-latency, highly available, and scalable solutions that power billions of users while driving measurable improvements in performance, reliability, and operational efficiency. PROFESSIONAL EXPERIENCE

META JUL 2025 – PRESENT

Software Development Engineer San Francisco, CA

• Developed Java 17 microservices powering AI retrieval workflows, integrating Spring Boot, gRPC, and Redis to process large-scale advertising requests, improving end-to-end retrieval latency by 38%.

• Designed distributed REST and GraphQL APIs using Spring Boot, PostgreSQL, Redis, and Kafka, enabling scalable campaign metadata services supporting over 3.5 billion monthly active users across advertising platforms.

• Engineered embedding retrieval integration with inference services, implementing asynchronous Kafka pipelines and intelligent caching strategies that improved candidate retrieval accuracy by 21% while maintaining low-latency responses.

• Built scalable microservices using Java, Spring Boot, Kafka, Docker, Kubernetes, and Hyperscale Private Cloud Systems, implementing service discovery, circuit breakers, and resilient interservice communication.

• Developed high-throughput data services using Apache Spark, Hive, PostgreSQL, and feature store integrations, enabling real- time feature generation, batch processing, and reliable machine learning inference pipelines.

• Implemented secure backend services using Spring Security, OAuth 2.0, JWT, GraphQL, gRPC, Redis, and Hyperscale Private Cloud Systems, reducing inference infrastructure costs by 26% through optimized request routing and intelligent caching.

• Created event-driven backend architecture leveraging Kafka, Spring Cloud, Docker, Kubernetes, Prometheus, Grafana, ELK, and OpenTelemetry, delivering automated observability and proactive production performance monitoring.

• Optimized SQL queries, Redis caching, asynchronous processing, and load-balanced microservices deployed on Hyperscale Private Cloud Systems, decreasing API response latency by 41% while supporting high-concurrency enterprise advertising workloads.

• Collaborated with machine learning engineers to integrate PyTorch inference services through REST and gRPC APIs, enabling seamless model deployment, feature retrieval, and production-ready backend orchestration.

• Automated CI/CD pipelines using Git, Jenkins, Docker, Kubernetes, Terraform, Maven, and integration testing, ensuring reliable deployments, infrastructure consistency, scalable releases, and rapid rollback across distributed microservices. SHOPIFY SEP 2023 – JUN 2025

Software Development Engineer San Francisco, CA

• Developed Java Spring Boot microservices powering localized commerce APIs for over 2.5 million merchants, improving international checkout response accuracy by 31% through optimized pricing and caching.

• Designed scalable RESTful APIs using Java 17, Spring Boot, PostgreSQL, Redis, and Kafka to manage currencies, taxes, duties, and regional pricing across multiple global commerce markets.

• Built distributed microservices deployed on AWS EKS with Docker and Kubernetes, reducing API latency by 42% through Redis caching, asynchronous Kafka messaging, and optimized database queries.

• Implemented backend integrations with payment gateways, shipping providers, tax engines, and exchange-rate services using REST APIs, Spring Cloud, OpenFeign, and resilient retry mechanisms for reliable processing.

• Developed automation pipelines and backend validation services for localization workflows using PostgreSQL, Redis, and Kafka, reducing operational processing time while improving deployment consistency across regional environments.

• Engineered cloud-native backend services on AWS using EC2, RDS, S3, Kubernetes, and Terraform, enabling secure deployments, automated scaling, high availability, and seamless disaster recovery across production environments.

• Optimized pricing, currency conversion, and checkout workflows using Redis, Kafka, PostgreSQL, and Spring Boot, reducing average service latency by 38% while maintaining consistent transaction throughput during peak traffic.

• Implemented CI/CD pipelines with GitHub Actions, Jenkins, Docker, Helm, and Kubernetes, enabling automated testing, containerized deployments, rollback capabilities, and accelerated software delivery across multiple development environments.

• Built event-driven backend services using Spring Boot, Kafka, GraphQL, and OpenTelemetry on AWS, supporting real-time order processing, observability, distributed tracing, and scalable international commerce operations.

• Collaborated with product managers, frontend engineers, DevOps, and QA teams following Agile Scrum methodologies to deliver secure microservices with OAuth2, JWT authentication, Prometheus monitoring, and Grafana dashboards. ACCENTURE NOV 2019 – DEC 2022

Software Engineer India

• Developed Java Spring Boot microservices automating recharge, billing, and customer workflows, serving over 8 million users, reducing API response latency by 37% through Redis caching and optimized SQL.

• Engineered RESTful APIs using Java 17, Spring Boot, Spring Security, PostgreSQL, and Kafka, improving transaction success accuracy by 29% while securely processing millions of daily telecom customer requests.

• Designed scalable microservices integrating CRM, payment gateways, SIM activation, and notification services using Kafka, Docker, Kubernetes, and AWS ECS, ensuring reliable asynchronous processing and high service availability.

• Built responsive customer dashboards with React, TypeScript, REST APIs, and JWT authentication, enabling real-time account management, usage analytics, billing visibility, and seamless user experiences across devices.

• Implemented CI/CD pipelines using Jenkins, Maven, Docker, Kubernetes, Git, and AWS CloudWatch, accelerating deployment frequency, minimizing release failures, and supporting zero-downtime production releases for enterprise applications.

• Developed backend services using Java, Spring Data JPA, Redis, PostgreSQL, and OpenAPI, optimizing customer profile retrieval, recharge validation, and billing workflows while strengthening application performance and maintainability.

• Collaborated within Agile Scrum teams to deliver secure enterprise features using Kafka, Prometheus, Grafana, ELK Stack, OAuth2, and automated testing, improving production stability and reducing incident resolution time significantly. EDUCATION

Master of Science in Data Science

University of North Texas

Bachelor of Technology in Computer Science

Jawaharlal Nehru Technological University

CERTIFICATIONS

• AWS Certified Developer – Associate

• Certified Kubernetes Application Developer (CKAD)

• Oracle Certified Professional: Java SE 17 Developer TECHNICAL SKILLS

Programming Languages: Java 17, Python, SQL, TypeScript, JavaScript Backend & API Development: Spring Boot, Spring MVC, Spring Data JPA, Spring Security, Spring Cloud, REST APIs, GraphQL, gRPC, OpenAPI, Microservices, OAuth 2.0, JWT, Hibernate, Servlets, JPA, WebSockets, RESTful APIs, Tomcat, Authentication, Authorization Frontend Development: React.js, HTML5, CSS3, Redux, Bootstrap, Material UI, Axios, npm, Responsive Design, Frontend Development, UI Development

AI/ML & Data Engineering: Machine Learning Infrastructure, AI Inference Services, LLM Retrieval Systems, Embedding Retrieval, Vector Search, Feature Store, PyTorch, Apache Spark, Apache Hive, Data Pipelines, Batch Processing, Real-Time Feature Engineering, Model Serving, ML Pipeline Integration, Generative AI, Natural Language Processing (NLP) Databases, Messaging & Caching: PostgreSQL, Redis, Apache Kafka, SQL Query Optimization, Asynchronous Processing, Event-Driven Architecture, MySQL, MongoDB, Relational Databases, NoSQL Databases, RabbitMQ Cloud, Containers & DevOps: AWS (EC2, EKS, ECS, RDS, S3), Kubernetes, Docker, Terraform, Jenkins, GitHub Actions, Maven, Helm, Git, CI/CD, Infrastructure as Code, Gradle, Nginx, AWS Lambda, GitHub, GitLab, OpenShift, Azure Observability & Performance Engineering: Prometheus, Grafana, ELK Stack, OpenTelemetry, Distributed Tracing, Logging, Monitoring, Performance Optimization, Load Balancing, Caching Strategies, Service Discovery, Circuit Breakers, Resilience Engineering Software Engineering Practices: Distributed Systems, Scalable System Design, High-Performance Backend Systems, Concurrent Programming, Secure Application Development, Integration Testing, Unit Testing, Agile Scrum, Design Patterns, TDD, JUnit 5, Mockito, Code Review, Debugging, Automated Testing, Continuous Integration Soft Skills: Analytical Thinking, System Design, Cross-Functional Collaboration, Technical Communication, Ownership, Leadership, Mentoring, Stakeholder Management, Debugging, Time Management, Adaptability, Continuous Learning, Decision Making, Problem Solving, Team Collaboration, Continuous Improvement

Contact this candidate