Chaitanya Sharma

Software Engineer

Dehradun, Uttarakhand, India2 yrs 11 mos experience

Key Highlights

Expert in microservices architecture and RESTful APIs.
Proven track record in automating CI/CD processes.
Strong foundation in both backend and frontend technologies.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in backend development and cloud services.

Contact

Skills

Core Skills

Spring BootAzure Cloud ServicesReact.js

Other Skills

Azure DevOpsDockerRESTful APIsRedisPostgreSQLKafkaSpring Data JPADomain-Driven DesignCQRSSpring SecurityKubernetesArgoCDSonarQubeAzure PipelinesJava

About

I have professional experience as a software engineer with a focus on DevOps, and as a software engineer intern both @Incedo. During the internship period I cleared the Microsoft : Azure az-900 fundamentals certification and cleared the Microsoft Azure: az-204 azure associate developer certification. My hands on experience includes the following tech stack : Sprin Boot, React.js, Java, Powershell, Azure DevOps, Azure cloud services, Docker, PostgreSQL. I have delved into Programing Paradigms such as RESTful Web APIs, MVC architecture, Microservices, SOLID principles, Clean architecture and the N-tier architecture.

Experience

2 yrs 11 mos

Total Experience

2 yrs 2 mos

Average Tenure

9 mos

Current Experience

Amazon

Software Development Engineer

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Incedo inc.

2 roles

Software Engineer

Jul 2023 – Sep 2025 · 2 yrs 2 mos · Gurugram, Haryana, India · On-site

Utilized Spring Boot, Azure cloud services, Azure DevOps, and Docker for pipeline management, build configuration, application development, and containerization, to build microservices with RESTful APIs, ensuring data consistency using Spring Data JPA and distributed caching (Redis).
Applied Domain-Driven Design (DDD) principles and CQRS pattern in microservices architecture, implementing bounded contexts and event-driven communication between domains.
Implemented outbox pattern with Spring Boot, Kafka and PostgreSQL to provide transactional consistency across distributed systems, and managed configurations with Spring Configuration server.
Integrated security measures such as authentication and authorization using Spring Security, ensuring secure API endpoints and data protection.
Engineered new microservice endpoints, extending the File Management System, and serverless functions for file processing and injecting them it into Azure Data Factory.
Orchestrated distributed load testing infrastructure on Kubernetes, enabling QA teams to execute automated K6-operator scripts via cron-jobs with Azure Files PVC integration.
Architected automated database schema migration using migrate-mongo through ArgoCD pre-sync hooks in Helm charts, ensuring consistent database schema deployments across environments.
Automated SSRS report CI/CD process to Power BI Report Server via Azure Pipelines and integrated sparse checkout of mono-repos to provide an improvement in build time of 95.67% (5 min to 16 sec).
Implemented SonarQube code analysis in Pull Request workflows via Azure DevOps build pipelines, enforcing code quality gates.
Enhanced container security by implementing Crowdstrike compliance measures for Docker images and Kubernetes pods, reducing security vulnerabilities from 80% to 10%(required).

Spring BootAzure cloud servicesAzure DevOpsDockerRESTful APIsRedis+9

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Gurugram, Haryana, India · On-site

Mastered Spring Boot, Java, and React JS through intensive 1.5-month training.
Developed a proof-of-concept project utilizing Spring Boot RESTful APIs and React.js.
Spearheaded a team of 7 interns and led the daily stand-up calls to develop and implement new features using Clean
Architecture.

Spring BootJavaReact.js