Available to hire
Hello, I’m Mohit Jawale, a results-driven Java Full Stack Developer with over 5 years of experience architecting scalable, high-performance web and backend systems across fintech, mobility, and semiconductor domains.
I excel in delivering secure, reliable software using Java 17, Spring Boot, React.js, and cloud-native stacks (Docker, Kubernetes, AWS). I’m a collaborative teammate and mentor who thrives in Agile environments and is dedicated to clean, maintainable code and end-to-end feature delivery.
Skills
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Experience Level
Expert
Expert
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Expert
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Intermediate
Intermediate
Language
English
Fluent
Javanese
Advanced
Work Experience
Full Stack Software Engineer at Walmart (Next-Gen Unified Payments Platform)
August 1, 2024 - PresentLed the development of cloud-native Spring Boot microservices in Java 17 for real-time payment processing exceeding five million transactions daily. Improved backend unit test coverage to over 95%, reducing post-production defects by 30%. Optimized Kafka event-driven services reducing transaction times by 60%. Enhanced React.js frontend dashboard performance by 40%. Integrated APIs securely with major payment providers, cutting gateway errors by 25%. Deployed containerized services using Docker and Azure Kubernetes Service achieving 99.99% uptime with zero downtime during peak loads. Improved database query performance, reducing API response times by 35%. Implemented robust testing methodologies (TDD, BDD) and proactive monitoring reducing incident MTTR by 40%. Participated in blockchain design discussions and handled large-scale data processing for fraud and compliance analytics.
Full Stack Developer at Apple (Apple Intelligence – Backend & Cloud Services)
August 1, 2024 - July 10, 2025Developed backend microservices with Java 17, Spring Boot, and Spring Cloud powering AI features on 100M+ devices. Built RESTful APIs with Kubernetes-orchestrated Docker services for privacy-compliant machine learning inference. Integrated GCP streaming services handling 5M+ user records daily. Developed AI evaluation dashboards using React.js, Redux, and TypeScript. Maintained 95%+ test coverage with JUnit and Mockito. Reduced database latency by 30% optimizing PostgreSQL and MongoDB. Contributed to agile sprint planning and backend scaling strategies, ensuring high performance and cost efficiency. Enhanced frontend performance by 15% using React optimizations.
Java Full Stack Developer at Accenture
September 30, 2022 - July 10, 2025Engineered 25+ cloud-native microservices with Java 11, Spring Boot, and Spring Cloud for healthcare enrollment serving 10M+ citizens annually. Reduced service response times by 45% via API optimization and asynchronous messaging with AWS SQS and RabbitMQ. Modernized legacy stacks with containerized Spring Boot deployments on AWS Fargate. Developed UI components using Angular 11 and RxJS; contributed to Vue.js and PHP migration prototypes. Optimized SQL and NoSQL databases improving latency by 40%. Automated CI/CD with Jenkins, Git, SonarQube, and Terraform, cutting deployment cycles by 40%. Led peer reviews and mentored junior developers, improving sprint velocity by 15%. Maintained 99.99% uptime during high concurrency periods.
Full Stack Software Engineer at Walmart (Next-Gen Unified Payments Platform)
August 1, 2024 - PresentSpearheaded the development of cloud-native Spring Boot microservices using Java 17, enabling real-time processing of more than five million payment transactions per day, supporting both in-store POS and e-commerce systems. Delivered unit test class coverage greater than 95 percent across backend services using JUnit and Mockito, contributing to a 30% drop in post-production defects and improved release stability. Built and optimized Kafka-based event-driven services reducing transaction processing time by over 60% and ensuring sub-100ms latency during peak hours. Led frontend integration using React.js, improving dashboard performance by 40%. Orchestrated secure API integrations with payment providers Visa, Mastercard, PayPal, and Fiserv, reducing external gateway errors by 25%. Containerized microservices with Docker and deployed to Azure Kubernetes Service (AKS), achieving uptime greater than 99.99% and scaling services to meet holiday peak loads with zero downtime. Achieved 100% sp
Full Stack Developer at Apple (Apple Intelligence – Backend & Cloud Services)
August 1, 2024 - July 30, 2025Developed backend microservices using Java 17, Spring Boot, and Spring Cloud powering real-time AI features for over 100 million Apple devices, focusing on security, scalability, and reliability. Designed and implemented RESTful APIs for private cloud compute with Docker and Kubernetes enabling privacy-compliant LLM inference under 250ms. Integrated GCP services (Pub/Sub, Cloud Functions, Dataflow) for streaming and enrichment of ~5M user records daily for AI model fine-tuning. Built AI evaluation dashboards and tooling with React.js, Redux, TypeScript, and Tailwind CSS, accelerating ML ops feedback cycles by nearly 20%. Supported model diagnostics and data validation. Contributed to sprint-level strategic backend scaling and rollout planning. Maintained over 95% test coverage with JUnit 5, Mockito, and RestAssured. Optimized PostgreSQL and MongoDB queries reducing latency by around 30%. Improved frontend component performance by 15% via code splitting, lazy loading, and React tuning.
Java Full Stack Developer at Accenture
September 30, 2022 - July 30, 2025Engineered and deployed over 25 cloud-native microservices using Java 11, Spring Boot and Spring Cloud enabling healthcare enrollment for over 10 million U.S. citizens annually. Reduced service response times by 45% through REST API optimization, asynchronous messaging with AWS SQS, and migration of legacy systems to microservices on AWS Fargate with RabbitMQ. Modernized legacy JBoss stacks through containerized Spring Boot deployments on cloud infrastructure. Built dynamic UI components with Angular 11 and RxJS; contributed to Vue.js and PHP migration prototypes. Optimized relational and NoSQL databases using PostgreSQL and MongoDB, reducing query latency by 40%. Automated CI/CD pipelines with Jenkins, Git, SonarQube, and Terraform reducing deployment cycles by 40%. Collaborated in Agile teams, led code reviews, documented technical solutions, and mentored junior developers raising sprint velocity by 15%. Delivered backend services with 99.99% uptime supporting over 20,000 concurrent
Java Full Stack Developer at Qualcomm
February 1, 2024 - PresentAt Qualcomm, I improved GPU driver compilation time by 40% leveraging Java 17 and Spring Boot 3, enhancing CI/CD efficiency and build scalability. I designed a real-time modem diagnostics dashboard using React 18 and WebGL, which helped debug 5G connectivity issues 50% faster. I built robust automation frameworks for embedded system API testing achieving 95%+ coverage. I optimized PostgreSQL queries, reducing patent lookup latency from 15 to under 2 seconds. I deployed and monitored containerized AI workloads using Kubernetes and Docker, increasing ML inference test throughput by 35%. Strengthened chipset API security integrating OAuth 2.0 and rate limiting aligned with Qualcomm's QTI Security Framework. Mentored junior engineers in Spring Boot and React optimizations, boosting productivity by 30%. Collaborated with cross-functional teams to deliver solutions with CI/CD and infrastructure as code.
Java Full Stack Developer at PayTM
September 30, 2022 - August 7, 2025At PayTM, I scaled core payment gateway microservices to handle over 5 million daily transactions with 99.99% uptime during peak seasonal events. I led the frontend redesign of the merchant dashboard using React.js and Redux, reducing report latency from 2 hours to 15 minutes. Architected MongoDB schema and optimized aggregation pipelines to boost voucher redemption speed by 60%. Built a scalable real-time fraud detection system using Kafka streams processing 500K transactions daily, blocking fraud valued at ₹2Cr+ monthly. Migrated legacy monolithic payment modules to serverless AWS Lambda architecture, reducing infrastructure costs by 30%. Implemented PCI-DSS compliant card tokenization and integrated 3DS 2.0, reducing chargebacks by 12%. Modernized Paytm Money frontend migrating AngularJS to React, improving performance and Lighthouse score from 45 to 80. Participated in Agile ceremonies and improved code quality via reviews and CI/CD automation.
Java Full Stack Developer at Qualcomm
February 1, 2024 - PresentRefactored build pipelines to reduce GPU driver compilation time by 40% using Java 17, Spring Boot 3, and GraalVM for parallel task execution in native builds; designed and developed a real-time modem diagnostics dashboard with React 18, WebGL, and RESTful APIs to accelerate debugging of 5G connectivity; built automation frameworks with Jenkins and JUnit 5 achieving 95%+ unit/integration test coverage for embedded system APIs; optimized PostgreSQL queries with advanced indexing for patent lookup, reducing average search latency from 15 seconds to under 2 seconds; deployed and monitored containerized AI workloads with Kubernetes and Docker, enabling horizontal pod autoscaling and increasing on-device ML inference test throughput by 35%; strengthened chipset API security through OAuth 2.0 integration and rate limiting in line with internal security framework; mentored 3 junior engineers in Spring Boot performance tuning and React optimization; collaborated with cross-functional teams to
Java Full Stack Developer at PayTM
September 1, 2022 - September 8, 2025Scaled core payment gateway microservices to reliably handle 5M+ daily transactions with 99.99% uptime; led frontend redesign for merchant dashboard using React, Redux, and WebSockets, reducing report generation latency from 2 hours to 15 minutes; redesigned MongoDB schemas and optimized aggregation pipelines for voucher redemption, boosting cashback speed during campaigns; built a real-time fraud detection system using Kafka streams; migrated legacy modules to AWS Lambda with API Gateway and CloudFormation, achieving 30% infrastructure cost reduction and improved resiliency; implemented PCI-DSS compliant tokenization and 3DS 2.0 to reduce chargebacks; modernized Paytm Money frontend from AngularJS to React, improving Lighthouse scores; collaborated in Agile teams with CI/CD automation.
Java Full Stack Developer at Qualcomm
February 1, 2024 - PresentLed design and implementation of a real-time modem diagnostics dashboard using React 18, WebGL, and RESTful APIs to accelerate 5G issue debugging and cross-team collaboration. Refactored GPU driver build pipelines with Java 17, Spring Boot 3, and GraalVM to enable parallel native builds, cutting compilation time by 40% and boosting CI/CD efficiency. Built automation frameworks with Jenkins, JUnit 5, and custom hardware simulators, achieving 95%+ unit and integration test coverage for embedded APIs. Optimized PostgreSQL queries and advanced indexing for a patent lookup service, reducing average latency from 15 seconds to under 2 seconds. Deployed and monitored containerized AI workloads on Kubernetes and Docker, enabling horizontal pod autoscaling and increasing on-device ML inference throughput by 35%. Strengthened API security with OAuth 2.0, rate limiting, and alignment with internal security frameworks. Mentored 3 junior engineers on Spring Boot performance, React optimization, and
Java Full Stack Developer at PayTM
September 1, 2022 - October 8, 2025Scaled core payment gateway microservices to reliably handle 5M+ daily transactions with 99.99% uptime, ensuring performance during peak seasons. Led frontend redesign for merchant dashboard using React.js, Redux, and WebSockets, reducing report generation latency from 2 hours to 15 minutes. Architected optimized MongoDB schemas and aggregation pipelines for voucher redemption, boosting cashback speed during campaigns. Built a real-time fraud detection system using Apache Kafka streams and event-driven microservices processing 500K+ transactions daily, blocking fraud worth ₹2 Crore+ per month. Migrated legacy modules to serverless AWS Lambda with API Gateway and CloudFormation, cutting infrastructure costs by 30% and increasing resiliency. Implemented PCI-DSS compliant tokenization and 3DS 2.0 to reduce chargebacks. Modernized Paytm Money frontend from AngularJS to React, improving Lighthouse score from 45 to 80. Participated in Agile ceremonies, code reviews, unit/integration tests,
Education
Master of Science at Santa Clara University
January 1, 2017 - December 31, 2019Master of Science in Computer Science and Engineering at Santa Clara University
January 1, 0000 - December 31, 0000Master of Science in Computer Science and Engineering at Santa Clara University
September 1, 2022 - June 30, 2024Bachelor of Information Technology at MIT College of Engineering
June 1, 2015 - May 31, 2019Master of Science in Computer Science and Engineering at Santa Clara University
September 1, 2022 - June 1, 2024Bachelor of Information Technology at MIT College of Engineering, Pune, INDIA
June 1, 2015 - May 1, 2019Master of Science in Computer Science and Engineering at Santa Clara University
September 1, 2022 - June 1, 2024Bachelor of Information Technology at MIT College of Engineering
June 1, 2015 - May 1, 2019Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare, Computers & Electronics, Retail, Transportation & Logistics, Manufacturing, Telecommunications, Other
Skills
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Experience Level
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Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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