Open to opportunities

pranathi reddy

@pranathireddy

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Full Stack Developer specializing in cloud-native Java and React solutions.

United States

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What I'm looking for

I am seeking a senior technical role building cloud-native, secure, high-performance systems with strong DevOps practices, collaborative teams, and opportunities to lead scalable microservices and CI/CD improvements.

I am a Full Stack Developer with deep experience building scalable, cloud-native applications using Java, Spring Boot, React, and Angular. I specialize in microservices, RESTful APIs, event-driven systems with Kafka, and database optimization across PostgreSQL, Cassandra, Elasticsearch, and Redis.

I have delivered production-grade systems on AWS with Docker, Kubernetes and Terraform, implemented CI/CD pipelines (Jenkins, Azure DevOps, AWS CodePipeline), and strengthened application security using Spring Security, OAuth 2.0, JWT, SonarQube and Fortify. My work has improved throughput, reduced load times, and increased test coverage across multiple projects.

I focus on high-performance, secure, and user-centric solutions, and I collaborate cross-functionally to migrate monoliths to microservices, optimize infrastructure for reliability and cost, and implement monitoring and automated testing to ensure robust delivery.

Experience

Work history, roles, and key accomplishments

Current

Sr. Software Engineer

Current

JPMorgan Chase

Aug 2024 - Present (1 year 5 months)

Designed and developed a microservices-based loan management system using Spring Boot, PostgreSQL, and Elasticsearch, improving real-time tracking and searchability while automating CI/CD and security scans to enhance quality and compliance.

Java Spring Boot Microservices PostgreSQL Elasticsearch Kafka Docker Kubernetes Jenkins

Software Engineer

HDFC Life Insurance

Feb 2020 - Jun 2024 (4 years 4 months)

Developed and deployed cloud-native microservices using Java and Spring Boot on AWS, increasing transaction throughput by 40% and enabling event-driven real-time claim processing with Kafka.