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Lokesh Mudduluru - Senior Full Stack Java Developer

[email protected]

Location: Jersey City, New Jersey, USA

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Visa: GC

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Lokesh Mudduluru LinkedIn | [email protected] | +1 (732) 930-0143 PROFESSIONAL SUMMARY: Full-stack Java developer with 11+ years of experience architecting scalable, secure, and cloud-native applications across finance, healthcare, telecom, and retail industries. Designed and deployed enterprise-grade Java/Spring Boot microservices powering fraud detection, pharmacy operations, billing engines, and digital customer experiences. Developed and optimized full-stack features using React, Angular, TypeScript, HTML5, and CSS3 to enhance performance, accessibility, and responsiveness for large-scale applications. Built and integrated REST and GraphQL APIs supporting authentication, claims workflows, billing transactions, subscriber management, and high-volume digital operations. Engineered distributed event-driven systems with Kafka, GCP Pub/Sub, and Azure Event Hubs to process millions of real-time messages with sub-second latency. Optimized backend logic using Java Streams, concurrency, and JVM tuning, reducing API response times by up to 35% during peak traffic. Delivered cloud-native solutions on AWS, Azure, and GCP using Docker, Kubernetes, Cloud SQL, Postgres, and managed cloud messaging services. Refactored monolithic Java applications into containerized microservices, improving deployment reliability, scalability, and environment consistency. Implemented CI/CD automation using Jenkins, GitLab CI, CircleCI, and ArgoCD to accelerate release cycles and cut manual deployment overhead by 50%. Developed robust unit, integration, and performance-testing suites using JUnit, Mockito, and JMeter to achieve 80%+ code coverage for core services. Integrated Redis and Memcached caching layers to reduce database load, improve session performance, and deliver faster response times under high demand. Designed scalable relational and NoSQL schemas using Postgres, Oracle, MongoDB, and Cassandra to support high-volume transactional workloads. Partnered with architects and product managers to translate complex business requirements into scalable microservices and full-stack solutions. Hardened enterprise systems using Spring Security, OAuth2, JWT, RBAC, encryption, and secure coding practices aligned with PHI, PCI, and PII compliance. Created reusable internal frameworks for API contracts, exception handling, authentication, logging, and event instrumentation to standardize development workflows. Integrated Elasticsearch for high-speed search-driven experiences, improving lookup accuracy for fraud, clinical, product, and subscriber datasets. Built BFF (backend-for-frontend) services using Node.js, Java, GraphQL, and REST to support responsive, component-driven frontend architectures. Enhanced system observability using Splunk, AppDynamics, Prometheus, and Grafana, improving diagnostics, monitoring, and MTTR metrics. Led root-cause analysis efforts for fraud, claims, and digital-health workflows, reducing recurring production incidents by 25%. Operationalized machine-learning pipelines and real-time inference endpoints supporting fraud scoring, recommendations, and network intelligence. Delivered micro-frontend and mobile-ready solutions using React and React Native to enhance user experience across web and mobile platforms. Automated cloud deployments using Terraform, Kubernetes manifests, Helm charts, and GitOps practices to streamline infrastructure provisioning. Developed streaming analytics pipelines for anomaly detection, fraud insights, and digital-health telemetry using Kafka and cloud-native services. Migrated large transactional databases to cloud platforms using partitioning, replication, sharding, and optimized indexing for high availability. Led Agile ceremonies including grooming, sprint planning, and design discussions to improve delivery predictability, collaboration, and code quality. Mentored junior engineers on microservices design, full-stack development, cloud engineering, CI/CD pipelines, and enterprise coding standards. TECHNICAL SKILLS Programming Languages: Java (Core Java, Java 8/11/17), JavaScript (ES6+), TypeScript, Python, SQL, PL/SQL Web & Frontend Technologies: HTML5, CSS3, Bootstrap, jQuery, AJAX, Material-UI, DOM, XHTML Frontend Frameworks & Libraries: React.js, Redux, React Router, Angular (AngularJS, 5, 8), Vue.js, Svelte Backend Frameworks & Java Ecosystem: Spring Boot, Spring Cloud, Spring MVC, Spring Security, Spring Data JPA, Hibernate ORM, Node.js, Express.js, Django Microservices & API Development: RESTful APIs, GraphQL, gRPC, SOAP, Swagger/OpenAPI, BFF (Backend-for-Frontend) Cloud Platforms & Services: AWS (EC2, S3, Lambda, ECS, API Gateway, RDS, IAM), Azure (Blob Storage, VM, Functions, API Management), GCP (GKE, Pub/Sub, Cloud SQL, Cloud Run) Containerization & Orchestration: Docker, Kubernetes (AKS, EKS, GKE), Helm CI/CD & DevOps Tooling: Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines, Maven, Gradle, NPM, Gulp, ArgoCD, Terraform (IaC) Databases & Storage: PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, Redis, Cloud SQL Messaging & Event Streaming: Apache Kafka, Confluent Kafka, RabbitMQ, AMQP, Autosys Logging, Monitoring & Observability: Splunk, AppDynamics, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Log4j, JProfiler, New Relic Testing & Quality Engineering: JUnit, Mockito, JMeter, Selenium WebDriver, Cucumber, Jasmine, Karma, Protractor Agile & Project Tools: Agile/Scrum, JIRA, Git, GitHub, Bitbucket, GitLab Development Tools: IntelliJ IDEA, Eclipse IDE, Visual Studio Code, Postman, Curl PROFESSIONAL EXPERIENCE Bank of America August 2023 - Current (Location: Charlotte, NC) Senior Full Stack Developer Designed and implemented scalable Java 11/Spring Boot microservices supporting fraud-detection and authentication workflows, increasing transaction throughput by 30%. Built high-performance RESTful APIs enabling large-scale identity verification across mobile, web, and contact-center channels. Developed reusable backend components, libraries, and utilities aligned with enterprise architecture standards, reducing duplicate code across platforms by 25%. Engineered event-driven services using Kafka Streams for real-time ingestion of fraud signals and alert-processing data. Optimized core transaction-processing logic with Java Streams, JPA, and ORM best practices, reducing peak-hour latency by 35%. Implemented secure data-integration flows using Spring MVC, Spring Integration, JSON/XML, and REST, improving routing reliability for fraud and client-protection systems. Integrated Spring Security, OAuth2, and role-based access controls across microservices to strengthen authentication and authorization. Applied secure coding practices, compliance controls, and audit standards (SOX, PCI, internal governance), reducing security-related defects by 20%. Implemented JWT-based API authentication to secure internal communication between distributed fraud-monitoring services. Developed responsive UI features using React, Angular, TypeScript, and micro-frontend patterns to support fraud alerts, transaction review, and audit dashboards. Built shared Angular/React UI components and micro-frontend modules, accelerating front-end release cycles for audit and fraud applications. Containerized backend services using Docker and deployed on Kubernetes/AKS, improving resiliency and reducing deployment failures by 40%. Refactored legacy components for containerization and cloud readiness, improving scalability and reducing infrastructure overhead. Tuned Oracle and MongoDB queries with advanced indexing and caching techniques, improving fraud-case data retrieval speeds by 40%. Integrated Redis caching for high-volume authentication services, reducing load on downstream systems during peak login traffic. Built secure backend APIs supporting downstream AI/analytics, RAG search pipelines, semantic search, and fraud-scoring systems. Collaborated with data science teams, data analysts, and model engineering groups to operationalize model-ready datasets and ensure backend compatibility for inference pipelines. Developed internal automation utilities, scripts, and platform tools that improved analytics and fraud-model testing workflows by 20%. Automated CI/CD pipelines using Jenkins, Bitbucket/GitHub, Maven, SonarQube, Artifactory, and deployment best practices, reducing manual release work by 60%. Created integration, regression, and performance test suites using JUnit, Mockito, and CI-based testing pipelines, increasing coverage above 80%. Implemented automated code-quality gates, SonarQube scanning, and static analysis, improving release stability and reducing production defects. Led story refinement, backlog grooming, requirement sizing, and technical design discussions for fraud, authentication, and internal audit features. Performed POCs and architectural spikes for micro-frontends, API gateway patterns, secure service-to-service communication, and platform modernization. Mentored junior engineers on secure coding, microservice design, CI/CD pipelines, API best practices, and enterprise development standards. Conducted root-cause analysis (RCA) for production incidents affecting fraud alerts and authentication flows, reducing repeat issues by 25%. Coordinated with audit, compliance, risk management, and InfoSec teams to meet internal control objectives and remediate vulnerabilities. Maintained detailed system documentation, architectural diagrams, and code-governance artifacts to support audit readiness and operational transparency. Environment: Java 11/17, Spring Boot, Spring MVC, Spring Security, Spring Integration, Microservices Architecture, REST APIs, JSON/XML, JPA/Hibernate, Kafka Streams, JMS, OAuth2, JWT, React, Angular, TypeScript, JavaScript, HTML5, CSS3, Micro-Frontends, Docker, Kubernetes/AKS, Jenkins, Maven, Git/Bitbucket, GitHub, SonarQube, Artifactory, JUnit, Mockito, Oracle, MongoDB, Redis, SQL, CI/CD Pipelines, API Gateway Patterns, Secure Coding, Compliance (SOX/PCI), Linux/Unix, Agile/Scrum. CVS, Healthcare October 2020 - July 2023 (Location: Woonsocket, RI) Senior Full Stack Developer Designed and implemented scalable Java/Spring Boot microservices supporting pharmacy, claims, and digital health workflows, improving service reliability and request throughput. Built RESTful and GraphQL APIs for prescription processing, patient data retrieval, and real-time clinical decisioning across CVS digital platforms. Developed full-stack features using Angular/React, TypeScript, HTML, and CSS, improving usability for pharmacy operations and care-management applications. Engineered distributed, event-driven services using Kafka and GCP Pub/Sub to process high-volume clinical and claims data with low latency. Optimized backend performance with Java Streams, multithreading, and JVM memory tuning, reducing API response times by 35% during peak workloads. Built cloud-native applications on GCP and Azure, leveraging Cloud SQL, Postgres, GKE, and managed messaging services for scalable digital-health workloads. Refactored legacy Java components into Dockerized, Kubernetes-based workloads, improving deployment consistency and reducing environment drift. Implemented CI/CD pipelines using Jenkins, GitLab CI, CircleCI, and ArgoCD, cutting manual deployment effort by 50% and increasing release cadence. Created automated unit, integration, and performance test suites using JUnit, Mockito, and JMeter, increasing test coverage beyond 80% for critical services. Designed reliable pub/sub messaging patterns for catalog, claims, and workflow engines to ensure consistent event delivery across distributed systems. Tuned relational and NoSQL data layers (Postgres, Cloud SQL, MongoDB, Cassandra) to reduce query latency by 40% and improve throughput for high-traffic API calls. Integrated Elasticsearch into search-driven use cases, improving clinical, provider, and member data lookup performance. Built backend utilities and APIs that power AI-assisted workflows, including recommendation logic and automated decision support features. Collaborated with architects, product managers, and BAs to translate business requirements into scalable Java/Spring Boot solutions. Conducted code reviews, enforced secure coding standards, and strengthened compliance with enterprise SDLC practices. Mentored junior developers on Spring Boot, Angular/React, cloud development, and test automation, improving overall team productivity. Implemented monitoring, logging, and alerting using AppDynamics, Splunk, and Grafana, improving incident visibility and reducing MTTR. Led root-cause analysis efforts for issues affecting claims, authentication, and digital-health services, reducing repeat incidents by 25%. Partnered with cross-functional teams to design cloud-first Java architectures, improving system resilience and lowering infrastructure overhead. Built reusable authentication, API contract, and event-logging libraries to streamline development across multiple engineering squads. Ensured HIPAA and PHI security compliance through secure API design, encrypted data transmission, and role-based access controls. Delivered features incrementally using Agile/Scrum, participating in story refinement, sprint planning, and technical design reviews. Prototyped new Java microservices, UI components, and DevEx tools, accelerating automated builds, previews, and deployments. Identified and resolved performance bottlenecks across distributed Java applications, improving service-to-service communication. Partnered with cloud and DevOps teams to modernize CVS s digital ecosystem, enabling faster delivery and more scalable digital-health capabilities. Environment: Java 11/17, Spring Boot, Spring MVC, Microservices Architecture, REST APIs, GraphQL APIs, Angular, React, TypeScript, JavaScript, HTML5, CSS3, Kafka, GCP Pub/Sub, Event-Driven Architecture, Postgres, Cloud SQL, MongoDB, Cassandra, Elasticsearch, Docker, Kubernetes (GKE/AKS), Jenkins, GitLab CI, CircleCI, ArgoCD, Git/Bitbucket, Maven, JUnit, Mockito, JMeter, AppDynamics, Splunk, Grafana, CI/CD Pipelines, Cloud Platforms (GCP, Azure, AWS), OAuth2, Secure Coding, HIPAA/PHI Compliance, Agile/Scrum. AT&T, Telecom November 2018 - September 2020 (Location: Dallas, TX) Full stack Java Developer Developed high-performance microservices using Java 8/11, Spring Boot, Spring MVC, and REST to support telecom customer onboarding, billing workflows, and digital service operations. Built responsive front-end features using React, Redux, TypeScript, HTML5, and CSS3, improving customer journey flows across AT&T web and mobile touchpoints. Designed and implemented BFF (Backend-for-Frontend) services using Java/Spring Boot and Node.js, enabling optimized API responses tailored for React-based user interfaces. Engineered scalable event-driven integrations using Kafka and MQ technologies, streamlining high-volume telecom events such as usage updates, device activations, and order status notifications. Implemented GraphQL APIs to support real-time customer interactions, reducing data-overfetching and improving UI rendering speed. Architected micro front-end components in React to modernize legacy UI modules, enabling parallel deployments and smaller release cycles. Improved system performance through Redis and Memcached caching layers, cutting expensive database reads by 40% during high-traffic hours. Optimized SQL queries, indexing strategies, and database schemas across Oracle, Cassandra, and MongoDB, reducing critical query latency by 30%. Containerized Java microservices using Docker and deployed on Kubernetes/AKS clusters, improving resiliency and reducing deployment rollback issues. Built CI/CD pipelines using Jenkins, Git/GitHub, Maven, and SonarQube, automating build, test, and deployment workflows and improving release throughput by 50%. Enhanced application reliability by implementing non-functional requirements including API rate limiting, timeouts, circuit breakers, and performance tuning for distributed services. Integrated Dynatrace, Splunk, and Prometheus/Grafana dashboards to monitor service health, transaction flow, and real-time application metrics. Conducted root-cause analysis for production incidents involving telecom provisioning, billing updates, and customer identity workflows, reducing recurring failures by 25%. Implemented secure authentication flows using Spring Security, OAuth2, and JWT, strengthening protection for customer data across AT&T platforms. Developed reusable UI component libraries in React and TypeScript to speed up feature development for customer account management interfaces. Collaborated with UX teams to deliver responsive and accessible front-end experiences optimized for AT&T s web, tablet, and mobile channels. Partnered with enterprise architecture teams to align microservices design with event-driven patterns, domain-driven structure, and cloud-native standards. Designed and executed automated unit, integration, and UI test suites using JUnit, Mockito, Selenium, and Cucumber, increasing coverage and reducing regression defects. Created load and performance testing frameworks using JMeter to validate system behavior under telecom peak-hour conditions. Delivered enhancements to AT&T s mobile app backend, supporting features such as plan upgrades, device eligibility checks, and billing details retrieval. Modernized legacy Java components by migrating to Spring Boot-based microservices, reducing code complexity and improving maintainability. Led sprint ceremonies, backlog refinement, and architecture discussions to ensure cross-team alignment and predictable delivery in Agile/Scrum environments. Mentored junior developers on Java best practices, REST API design, React development, microservices patterns, and secure coding techniques. Reduced page load times by optimizing React bundling, implementing code splitting, and fine-tuning browser caching policies. Collaborated with DevOps teams to design active/active deployment strategies across Kubernetes environments, improving uptime and high-availability capabilities. Environment: Java 8/11, Spring Boot, Spring MVC, Spring Security, Microservices Architecture, REST APIs, GraphQL, Node.js, JavaScript, React, Redux, TypeScript, HTML5, CSS3, Micro Front-End Architecture, Kafka, MQ, Event-Driven Architecture, Redis, Memcached, Oracle, MongoDB, Cassandra, SQL/PL-SQL, Docker, Kubernetes/AKS, Jenkins, Git/GitHub, Bitbucket, Maven, JUnit, Mockito, Selenium, Cucumber, JMeter, Dynatrace, Splunk, Prometheus, Grafana, API Gateway Patterns, Cloud Platforms (Azure, AWS), Secure Coding, Agile/Scrum. Costco, Retail January 2016 - October 2018 (Location: Issaquah, WA) Java Developer Developed and maintained Java 11/Spring Boot services powering core retail inventory workflows, enabling smooth operations across hundreds of store locations. Built responsive UI modules with React, HTML5, CSS3, and JavaScript to streamline warehouse tasks including stock lookup, audit workflows, and member data access. Delivered secure REST APIs using Spring MVC to ensure real-time synchronization between inventory systems, POS terminals, and membership databases. Tuned complex Oracle/MySQL queries and optimized Hibernate/JPA mappings to reduce data-access latency and support large product catalogs. Deployed microservices using Docker and led migration from monolithic workflows, improving scalability during holiday peak seasons. Implemented Kafka-based event pipelines for real-time stock updates across POS, procurement, and warehouse systems. Built reusable React component libraries with hooks and Redux to simplify dashboard development for inventory and member services. Strengthened application security with Spring Security by enforcing role-based access controls for pricing, discounts, and member data. Created automated test suites with JUnit, Mockito, and Maven, increasing reliability of nightly inventory reconciliation and item-pricing workflows. Designed Jenkins-based CI/CD pipelines to support continuous delivery of retail applications hosted on AWS. Developed Spring Batch jobs for nightly stock reconciliation and price updates covering multi-region store data. Added barcode scanning integration for warehouse tools, reducing manual errors and streamlining stock tracking. Built React + Chart.js dashboards to provide leaders with insights into sales trends, turnover rates, and membership activity. Implemented Redis caching for high-frequency product queries, lowering database load during peak shopping periods. Integrated PCI-compliant payment gateways with retail systems to support secure transaction processing. Environment: Java 11, Spring Boot, Spring MVC, Spring Batch, React, Redux, JavaScript, HTML5, CSS3, Kafka, Docker, Jenkins, AWS, Oracle, MySQL, PostgreSQL, Redis, JUnit, Mockito, Maven, Agile/Scrum. Flipkart (e-commerce) July 2014 - October 2015 (Location: Bangalore, India) Software Engineer Built Java/JSP/Servlet-based web modules enabling customers to manage service plans, view usage history, and update account settings with improved responsiveness. Developed Spring MVC components for call history, billing workflows, and service-activation processes, improving accuracy and processing speed of subscriber operations. Created reusable JSP views using JSTL and custom tags, standardizing UI patterns and reducing duplication across customer-service applications. Integrated Hibernate ORM to streamline database operations and optimize queries for large-volume subscriber records. Implemented AJAX/jQuery-driven UI interactions for real-time plan configuration and usage display, reducing page reloads and improving user responsiveness. Designed cross-browser compatible UI layouts using CSS, ensuring consistent usability across Internet Explorer, Chrome, and Firefox. Built internal Spring MVC services to modularize backend interactions between billing and customer-facing applications. Wrote complex SQL queries, stored procedures, and triggers in Oracle DB to support billing rules, rate calculations, usage monitoring, and activation logic. Applied pagination and caching patterns to billing and call-detail views, reducing load time for high-volume subscriber datasets. Implemented secure authentication and session management using Spring Security and HTTPS, strengthening protection of customer account data. Environment Java, JSP, Servlets, JSTL, Spring MVC, Spring Security, Hibernate, JavaScript, jQuery, AJAX, CSS, Oracle Database, Maven, JUnit, SVN, REST, HTTPS. EDUCATION: Sir CR Reddy college of engineering Bachelor of Technology in Computer Science August 2010 - May 2014 Keywords: continuous integration continuous deployment artificial intelligence user interface user experience message queue javascript sthree database procedural language North Carolina Rhode Island Texas Washington