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Senior Java Backend Engineer - Cloud-Native Microservices Expert

Location:
Kansas City, KS
Posted:
February 01, 2026

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Resume:

Lavanya Uppu

*******.****@*****.*** 913-***-****

SUMMARY

Results-driven Lead Software Engineer with extensive experience designing and developing Java-based backend systems, RESTful APIs, and cloud-native microservices. Skilled in Spring Boot, SQL optimization, and Azure Cloud, with a strong background in CI/CD automation and distributed architectures. Proven success in improving system performance, scalability, and reliability for enterprise-level applications. Passionate about building clean, maintainable backend solutions that power high-impact products.

TECHNICAL SKILLS

Languages & Frameworks: Java, Spring Boot, Node.js, Python, JavaScript

Backend & APIs: RESTful API Design, Microservices Architecture, CI/CD, Performance Optimization

Big Data & Hadoop Ecosystem: Hadoop, Hive, Sqoop, MapReduce, Spark, HDFS, HBase

Cloud Platforms: Azure, PCF (VMware Tanzu), Docker, Kubernetes

Databases: Oracle, SQL Server, MongoDB, Neo4j, Query Optimization

Tools: Jenkins, GitLab CI, Azure DevOps, Git, Jira, Confluence

Testing & Monitoring: JUnit, Mockito, Log4j, Grafana, Splunk

Backend & APIs: RESTful API design, Microservices, A/B testing, CI/CD

AI & Chatbots: Azure Bot Framework, LUIS, NLP integrations

Cloud Platforms: Azure, PCF (VMware Tanzu), Docker

Databases: Oracle, SQL Server, MongoDB, Neo4j

Tools: Jenkins, GitLab CI, Azure DevOps, Jira, Confluence

Front End: React.js, Vue.js, Angular, HTML, CSS, JavaScript

Version Control: Git, SVN

PROFESSIONAL EXPERIENCE

Lead Engineer

Cerner Corporation – Kansas City, KS Jul 2018 – Sep 2020

Designed and developed AI-powered chatbots using Azure Bot Framework and LUIS to improve client engagement by 30%.

Built and maintained backend microservices using Java and Node.js, integrating them into CI/CD pipelines with Jenkins and Azure DevOps.

Architected REST APIs and deployed scalable applications on Azure and PCF.

Implemented Solr-based search systems that enhanced search relevance and speed by 25%.

Utilized Neo4j for data relationships and real-time recommendation features.

Collaborated across teams to reduce incident resolution time by 40% through improved automation and monitoring.

Worked with Hadoop ecosystem tools such as Sqoop, MapReduce, Hive, and Oozie for orchestrating and scheduling data ingestion and transformation workflows, optimizing performance and storage efficiency.

Tuned Hadoop clusters and configured slots for optimal performance and high availability.

Created Hive tables, partitioned data for better performance, and loaded data from HDFS.

Developed custom Hive UDFs (User Defined Functions) to implement specific business logic.

Utilized Hive for data visualization through BI tools via the Hive ODBC Driver.

Senior Software Engineer

Cerner Corporation – Kansas City, MO Oct 2012 – Jun 2018

Developed backend services in Java and Node.js with focus on performance optimization and scalability.

Migrated critical systems from on-premises to Azure Cloud, cutting infrastructure costs by 20%.

Improved search functionality using Solr and implemented A/B testing to optimize user experience.

Enhanced CI/CD efficiency with Jenkins and GitLab, reducing deployment time by 25%.

Supported incident management workflows with Remedy Solutions to maintain high system uptime.

Containerized a microservices-based application using Docker, resulting in a 30% reduction in deployment time and improved environment consistency across development and production.

Implemented Docker Compose for local development environments, streamlining setup and reducing onboarding time for new team members.

Integrated Docker into the CI/CD pipeline, enabling automated builds and deployments of containerized applications to Azure Kubernetes Service.

Developed and maintained complex web applications using Angular, enhancing performance by optimizing component rendering and implementing lazy loading.

Implemented robust state management solutions using NgRx, ensuring data consistency and improving scalability for enterprise-level applications.

Software Engineer

IEG / Sinha Research / FMI Tech – Hyderabad, India & New York, USA Jul 2005 – Sep 2012

Built and maintained full stack web applications using PHP and Java, implementing modular and reusable components.

Created dashboards and data visualization tools with Adobe Flex and JavaScript charting APIs.

Integrated Bloomberg APIs for real-time market data and analytics.

Designed Java-based middleware for scalable business logic and data workflows.

Worked in both Agile and Waterfall environments, collaborating with cross-functional teams across geographies.

EDUCATION

Bachelor of Technology in Computer Science

Jawaharlal Nehru Technological University (JNTU), Hyderabad – 2005

CERTIFICATIONS

Microsoft Certified: Azure Developer Associate

PCF Developer Certification

Certified Jenkins Engineer

PROJECT HIGHLIGHTS

AI Customer Support Bot – Developed intelligent chatbot using LUIS and Azure Bot Services, integrated with company web and mobile platforms.

Search Optimization with Solr – Implemented search indexing improvements, increasing speed and accuracy by 25%.

Cloud Migration (Azure) – Led migration of legacy systems to Azure, improving scalability and reducing costs by 30%.

ADDITIONAL INFORMATION

Mentored junior developers and led technical knowledge-sharing sessions.

Advocate for clean code, performance optimization, and scalable design.

Continuous learner with interest in cloud-native and AI-driven software solutions.

FREELANCE / INDEPENDENT PROJECTS

(2022 – Present)

AI-Based Customer Support Bot – Designed and deployed a chatbot using Azure Bot Framework, LUIS, and Node.js for a small e-commerce client, automating 60% of customer queries and improving response time.

Microservices-Based Billing System – Developed a scalable billing and invoicing platform using Java, Spring Boot, and MongoDB; implemented REST APIs and CI/CD automation with Jenkins.

Portfolio and Dashboard Web App – Built a full-stack dashboard using React.js, Node.js, and Azure functions for managing personal projects, integrated analytics with real-time data visualization.



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