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Senior Software Engineer Java/React, Microservices Expert

Location:
Chicago, IL
Salary:
80000
Posted:
February 12, 2026

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Resume:

Yaswanth

+1-312-***-**** **************@*****.***

Professional Summary

-Versatile Senior Software Engineer with 6+ Years of Experience designing scalable Enterprise Web Services using

Java, Spring Boot, and React.js across Azure and AWS Cloud Services.

-Designed and implemented Microservices-Based Solutions and API Architecture using REST and GraphQL for high-performance, secure, and cloud-native enterprise platforms.

-Built reusable React, Redux, and TypeScript components to enhance user experience and deliver modern, scalable SPA Applications.

-Deployed and operated distributed services using Docker, Kubernetes, and Terraform on Azure Kubernetes Service (AKS) and AWS EKS, ensuring secure orchestration and high availability.

-Implemented automated CI/CD Pipelines using Jenkins, GitHub, and GitOps, reducing software release cycle time by

15% and improving deployment reliability.

-Strengthened backend reliability through Object-Oriented Programming, System Design, and Software Design Patterns to support scalable enterprise platforms.

-Monitored and optimized production environments using Splunk, Grafana, and CloudWatch to improve operational visibility and system stability.

-Improved PostgreSQL and SQL Database performance using Query Optimization and Caching Techniques, increasing API Responsiveness by 12%.

-Collaborated within cross-functional Agile / Scrum Teams, contributing to Code Reviews, Test-Driven Development (TDD), and mentoring engineers to uphold engineering best practices.

Technical Skills

Category

Technologies

Programming & Scripting

Java, Python, C++, C#, GoLang, SQL

Frontend Technologies

Angular 16, ReactJs, Redux, HTML5, CSS3, Bootstrap, TypeScript, JavaScript (ES6)

Backend Technologies

Spring Boot, Node.js, GraphQL, REST APIs, Microservices Architecture

Cloud & DevOps

Oracle Cloud, Azure, AWS, Git, Maven, Gradle, Kuber- netes, Docker, Jenkins, Terraform, YAML, Ansible, Grunt, RunDeck

Messaging & Data Stores

Kafka, AMQ, Cosmos DB, Azure SQL DB, Cassandra DB, Maria DB, PostgreSQL

Monitoring & Observability Tools

Splunk, Dynatrace, Grafana, CloudWatch

Testing & Quality Automation

Junit, Jest, Cypress, Mockito, Selenium, Automation Frameworks

OS & Networking Concepts

Linux, Unix, DNS, REST, SSL and HTTP

Operating Systems & Core Concepts

System Design, Algorithms, Data Structures

Experience

Amazon Jan 2024 – Present

Sr Software Engineer

-Built, tested, deployed, and operated highly scalable Java, Spring boot Microservices using REST APIs, supporting

Global Distributed Infrastructure Systems and improving operational reliability by 5%.

-Designed and optimized RESTful Services with strong focus on Performance, Reliability, and Fault Tolerance, reducing request latency by 10% across large-scale distributed environments.

-Applied deep expertise in Linux / Unix, Operating Systems, Data Structures, and Algorithms to troubleshoot complex production issues and decrease incident resolution time by 12%.

-Developed and maintained Microservices Architecture integrating Relational and NoSQL Databases, delivering

Highly Available Systems supporting mission-critical enterprise workloads.

-Automated build, test, and deployment pipelines using Git, CI/CD Tools, and modern DevOps Practices, reducing deployment effort by 10% and improving delivery consistency.

-Containerized applications using Docker and Kubernetes, ensuring consistent deployments, horizontal scalability, and improved operational stability across Cloud Environments.

-Implemented advanced Observability, Monitoring, and Performance Tuning solutions to proactively detect issues and improve overall System Reliability.

-Collaborated with cross-functional Agile Teams, communicating effectively with technical and non-technical stakeholders while delivering features in fast-paced environments.

-Optimized PostgreSQL and Hibernate Queries, reducing database latency and improving query throughput for High- Volume Data-Driven Applications.

-Enhanced platform Observability using Splunk, Grafana, and CloudWatch, improving troubleshooting efficiency and production stability.

-Secured application endpoints using Spring Security with OAuth 2.0, strengthening Authentication, Authorization, and enterprise data protection controls.

-Mentored junior engineers on Full-Stack Development, debugging techniques, and Scalable Design Principles, im- proving team capability and code quality.

-Delivered Enterprise-Grade Applications using Agile Methodologies, ensuring timely delivery and strong alignment with evolving Business Priorities.

Salesforce Jul 2018 – Nov 2022

Software Engineer

-Developed scalable Spring Boot Microservices improving performance, reliability, and resilience across distributed appli- cations, reducing production defects by 8% and strengthening long-term enterprise platform stability.

-Built responsive React.js and TypeScript interfaces using Redux, simplifying enterprise workflows and improving perfor- mance while increasing overall usability by 12% across multiple applications.

-Migrated legacy Java Systems to modern AWS Microservices architectures, improving scalability and operational reli- ability while reducing infrastructure costs by 8% across mission-critical production environments.

-Designed and implemented GraphQL and RESTful APIs, improving responsiveness, data efficiency, and integration reliability while reducing average API latency by 13% across enterprise systems.

-Deployed containerized applications using Kubernetes and Docker, automating releases and enabling zero-downtime roll- outs for scalable, resilient enterprise production environments.

-Integrated Apache Kafka to support asynchronous event-driven communication across microservices, increasing data throughput by 30% and improving overall platform reliability.

-Implemented automated CI/CD Pipelines using Git, Jenkins, and GitOps, improving deployment consistency and reducing software release time by 15%.

-Optimized PostgreSQL and Hibernate Queries to reduce latency, improve database performance, and support high- volume enterprise data processing workloads.

-Enhanced platform Observability using Splunk, Grafana, and CloudWatch, improving monitoring visibility and strength- ening production stability across cloud environments.

-Secured application endpoints using Spring Security with OAuth 2.0, strengthening authentication, authorization, data protection, and enterprise compliance across microservices platforms.

-Mentored junior engineers in Fullstack Development, scalable design, debugging practices, and performance optimization, improving team capability and overall engineering effectiveness.

-Delivered enterprise-grade software using Agile Methodologies, achieving 98% on-time delivery while improving platform scalability, performance, and alignment with evolving business objectives.

Education

Illinois Institute of Technology

Master of Computer Science



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