Senior Cloud-Native Software Engineer

SUMANTH MEREDDI

Seattle, WA 857-***-**** *******.***@*****.*** LinkedIn Profile

PROFESSIONAL SUMMARY

Software Engineer with extensive experience delivering cloud-native, high-performance enterprise applications. Led migration of legacy .NET systems to microservices on AWS and Google Cloud, designing five production services that handle over 7 million daily transactions and cutting latency by 45% with Kafka streaming and Redis caching. Built automated CI/CD pipelines using Jenkins, Docker, and Terraform, reducing deployment time by 25% while maintaining 96% test coverage. Ready to apply proven microservices and cloud expertise to accelerate scalable solutions for the organization.

PROFESSIONAL EXPERIENCE

Aptly Tech (Client:Microsoft) Oct 2025 - Present

Software Development Engineer Redmond, WA

•Designed and built a full-stack console using React, TypeScript, and ASP.NET Core, providing a unified UI and backend for AVS diagnostics, logs, and configuration management

•Developed reusable and accessible frontend components using Fluent UI, implementing consistent design patterns for settings, diagnostics, and logs to improve usability and reduce cognitive load for engineers

•Implemented secure configuration workflows with controlled form state, validation, and persistence for sensitive settings including Azure OpenAI endpoints, API keys, and deployment metadata, providing safe update handling

•Integrated TanStack Query (react-query) to manage client-side caching, background data refresh, and reliable UI state synchronization with backend APIs, improving data consistency and responsiveness

•Developed a secure backend KustoQueryService in C# using Azure TokenCredential to authenticate and execute parameterized KQL queries against Azure Data Explorer, returning insights and structured results for diagnostics

•Added centralized error handling, structured logging, and telemetry using Application Insights to surface actionable diagnostics, support faster root cause analysis, and enable proactive monitoring of the portal

CDreams (Client:Western Union Financial Services) Jun 2025 - Oct 2025

Software Development Engineer Sebring, FL

•Migrated monolith mainframe .NET services of the money transfer platform from legacy infrastructure to a cloud native microservices architecture on AWS Cloud

•Developed fault tolerant, low-latency RESTful APIs with Java using Spring Boot, deploying microservices on AWS EC2, auto scaling them to handle millions of transactions daily with 99.99% uptime

•Owned and maintained 5 microservices, ensuring efficient data processing of over 7M transactions per day & utilized AWS CloudWatch and Dynatrace for monitoring and observability

•Leveraged Kafka event streaming for real-time error alerting, reducing incident response time by 40%

•Integrated Redis for in-memory caching and asynchronous processing, reducing Postgres database load and latency, resulting in

45% throughput increase of microservices

•Improved service resilience by integrating Resilience4j for circuit breaking ensuring high availability and reliability

•Integrated automated unit testing with JUnit and Mockito to support TDD scenarios, achieving 96% code coverage

•Established CI/CD pipelines with Jenkins and Docker containerization, reducing deployment times by 25% and ensuring consistent application updates across development, testing, and production environments

•Worked in an Agile environment, collaborating with cross-functional teams and participating in Scrum ceremonies including daily stand-ups, sprint planning, and retrospectives

TCS (Client: Adobe) May 2020 - Jul 2023

Full-stack Engineer Bangalore, India

•Engineered and maintained the Adobe-Hendrix Sales Web Portal, a global platform managing Adobe’s product sales, licenses, and customer onboarding, processing millions of transactions annually

•Developed responsive frontend features in Angular and React, including product catalog UI, discount code integrations, and personalized sales dashboards, enhancing customer engagement by 25%

•Developed and optimized high-performance backend microservices in Spring Boot and Node.js/Express to process large volumes of sales transactions with sub-second latency, incorporating load balancing for peak sales periods

•Integrated and managed complex data models in MongoDB, ensuring data integrity across millions of sales records, while optimizing queries, creating indexes, and implementing caching to reduce API response times by over 40%

•Architected and secured REST APIs with JWT-based authentication, role-based authorization, and request validation, safeguarding sensitive customer information and licensing data while ensuring compliance with GDPR regulations

•Directed and executed large-scale database schema migrations, data backfills, and index optimizations with zero downtime, enabling smooth feature deployments during critical global sales events and product launches

•Led the migration of critical application components from legacy on-prem infrastructure to containerized microservices deployed on AWS ECS with auto-scaling policies, maintaining 99.99% uptime

•Streamlined and automated the CI/CD lifecycle by enhancing Concourse and Jenkins pipelines to support parallel job execution, automated testing, and staged rollouts, reducing deployment times by 30% while improving release stability

•Collaborated extensively with global cross-functional teams including product managers, UX designers and QA engineers to deliver features tightly aligned with sales strategies, promotional campaigns, and customer feedback loops

•Proactively monitored and optimized application performance using AWS CloudWatch enabling early detection of bottlenecks, rapid incident resolution, and continuous improvement of sales portal performance

PROJECTS

Accident Management

•Conducted exploratory data analysis and pattern detection using Python, leveraging techniques such as descriptive statistics, data visualization, clustering, and time series analysis to uncover insights and inform decision-making processes

•Designed a business-centric dimensional model, improving analysis and decision-making efficiency, fostering a data-driven culture, and reducing data processing times

•Created visual dashboards using Tableau and Power BI for executive teams, providing real-time visibility into Adobe sales, enabling proactive decision-making

AI-Powered Conversational Interface

•Designed and deployed a cloud-native chatbot solution using Azure OpenAI Services and custom LLMs, enabling context-aware, multi-turn conversations with 40% higher user engagement

•Applied LangChain orchestration (Sequential Chain & LLM Chain) and prompt engineering to improve response accuracy by

25%, dynamically handling complex queries with optimized schema evolution logic

•Accelerated development workflows with GitHub Copilot for boilerplate code generation and enforced consistent coding patterns to enhance productivity and maintainability

EDUCATION

Northeastern University

Master of Science, Computer Information Systems

•Coursework: Distributed Systems, Object-Oriented Design, Data Structures and Algorithms, Database Design

TECHNICAL SKILLS

•Programming Languages: Java, Python, C#, JavaScript, TypeScript, SQL, HTML5, CSS, C++, Shell, Bash, Golang, Kotlin, Scala, PHP

•Frontend Technologies: ReactJS, Angular, Node.js, Redux, Material UI, AJAX, jQuery, Bootstrap, Axios, SPA, GraphQL, WebSockets, Lightning, Visualforce, UX/UI, Responsive Design

•Backend Frameworks & Libraries: Spring Boot, Spring MVC, Spring Data JPA, Spring Security, Spring Cloud, Hibernate, JPA, Microservices, REST API, SOAP, Drools, Spring Batch, JMS, MVC, DAO

•Architecture & Design Patterns: Microservices Architecture, Event Driven Architecture, Distributed Systems, Dependency Injection, Caching Patterns, Horizontal Scaling, Scalability, Latency Optimization, Fault Tolerance, Performance Optimization, Infrastructure as Code, Root Cause Analysis

•Cloud & DevOps: AWS (EC2, S3, Lambda, DynamoDB, CloudWatch, CloudFormation), Google Cloud, Azure, Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, CI/CD, Maven, Gradle, Puppet

•Databases & Data Management: MongoDB, PostgreSQL, MySQL, SQL Server, Oracle, NoSQL, Redis, Cassandra, Spark, Flink, Data Modeling, Data Structures

•Big Data & Streaming Technologies: Kafka, Kafka Streams, Apache Kafka, RabbitMQ, Message Queues, Batch Processing, Streaming Pipelines

•Testing & QA Automation: Selenium, Postman, Cypress, JUnit, Mockito, API Testing, UI Automation, Regression Testing, Smoke Testing, Functional Testing, Performance Testing, LoadRunner, Test Driven Development (TDD), Root Cause Analysis, Automation Solutions, Test Automation

•Observability & Monitoring: Dynatrace, CloudWatch, Prometheus, Grafana, Splunk, Datadog, Tracing, Alerting, Logging

•Security & Compliance: JWT, OAuth2, RBAC, Authentication, Authorization, NIST, Session Security, ISO Standards, Cryptography, Information Security, AWS Security

•Version Control & Developer Tools: Git, GitHub, SVN, JIRA, Postman, Linux, IntelliJ, Eclipse, STS, Putty

•Methodologies & Processes: Agile, Scrum, SDLC, Development Life Cycle, Sprint Planning, Backlog Grooming, CI/CD, Quality Gates, End-to-End Project Planning, Strategic Planning, Risk Management, Attention to Detail, Business Strategy

CERTIFICATION

•AWS Certified Cloud Practitioner: Amazon Web Services

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