Rishabh Kumar

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in backend development with Java and Azure.
Proven track record of optimizing cloud resource utilization.
Skilled in developing scalable microservices and robust APIs.

Stackforce AI infers this person is a Backend Software Engineer specializing in cloud technologies and microservices.

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Skills

Core Skills

Amazon Web Services (aws)JavaMicrosoft AzureRest Apis

Other Skills

TypeScriptDesignSoftware Development Life Cycle (SDLC)MicroservicesSpring BootRESTful WebServicesTerraformGitGitHubSQLC#Azure Integration ServicesMulesoftAPI ManagementSoftware Development

About

Software Engineer with close to 4 years of experience in backend development, specializing in Java, SpringBoot and cloud platforms like Azure and AWS. I have contributed to building scalable, maintainable microservices, optimized data pipelines, and created robust APIs. Key Skills: Programming Languages: Java, C++ Cloud Experience: Azure , AWS Backend Technologies: REST APIs, SQL, MongoDB, Serverless (Lambdas, Functions) Version Control: GitHub, GitLab I take ownership of the entire SDLC, from design and implementation to deployment and production support. I am currently seeking SWE/SDE opportunities to leverage and further enhance my skills in backend engineering and cloud technologies

Experience

3 yrs 9 mos

Total Experience

3 yrs 4 mos

Average Tenure

5 mos

Current Experience

Amazon

Software Development Engineer

Dec 2025 – Present · 5 mos

Amazon Web Services (AWS)Java

Shell

Software Engineer

Aug 2022 – Dec 2025 · 3 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Developed and optimized scalable REST APIs for Shell Asia’s app, handling millions of daily requests and contributing to $3M in annual revenue.
Implemented and optimized backend services, ensuring high reliability, reduced downtime, and enhanced performance for large-scale applications.
Led the migration of microservices from Salesforce Cloud to Azure, optimizing cloud resource utilization and reducing operational costs by 35%.
Designed and built a centralized error alert framework for single and batch scenarios, reducing issue resolution time by 20%.
Utilized Azure Service Bus distributed messaging queue for efficient handling and processing of notifications, improving system scalability.
Developed Azure serverless functions to process and transform files in Azure Blob Storage, reducing manual intervention and optimizing data ingestion pipelines.
Assisted in monitoring and troubleshooting production issues, minimizing downtime and improving system reliability.

JavaMicrosoft Azure