Radha Srinivasamurthy
Hands-On AWS Certified Solution Architect | 2X AWS Certified | DevOps | Java, Python, Lambda | SAFe SPC | CSM
- Role
- Senior Software Automation Engineer at Somos, Inc.
- Location
- Norristown, PA, US
- LinkedIn followers
- 500 followers
About Radha Srinivasamurthy
Expert in AWS cloud migrations using AWS Application Discovery Service, AWS Application Migration Service (MGN), and AWS Database Migration Service, ensuring seamless transition with minimal downtime.Expert in designing scalable, serverless microservices architecture using API Gateway, Lambda, and DynamoDB; optimized performance and cost through AWS Lambda Power Tuning.Architected robust CI/CD pipelines using Jenkins/GitHub Actions, reducing production defects by 70% and accelerating time-to-market by 30%.Expert in designing an event-driven architecture leveraging API Gateway, EventBridge, SQS, SNS, EC2, Lambda, S3, AWS Glue, DynamoDB, and Athena, enabling high scalability and real-time processing.Hands-on building Gen AI proof of concepts with RAG, Agents, Vector Database, and MCP using Amazon Bedrock.I specialize in architecting secure, scalable cloud platforms aligned to business strategy, partnering with stakeholders and fostering engineering excellence through mentorship, agile practices, and modern software development standards.
Experience
Senior Software Automation Engineer
Mar 2023 — Present · US
Designed and implemented end-to-end automation pipelines, improving test reliability and overall release quality2. Optimized automation test suites, reducing test execution time and accelerating feedback cycles3. Architected and maintained CI/CD pipelines using GitHub Actions, enabling faster and more reliable deployments4. Designed and implemented highly available AWS architectures using ALB, EC2 Auto Scaling, and Multi-AZ deployments, achieving 99.99% uptime.5. Led migration of on-prem applications to AWS using rehost and refactor strategies, reducing infrastructure costs by 35%.6. Architected serverless solutions using Lambda, API Gateway, and DynamoDB, improving scalability and reducing operational overhead.7. Built hands-on Generative AI proof of concepts using Amazon Bedrock, implementing RAG architectures, AI agents, vector databases, and MCP to enable intelligent, context-aware applications
Education
B. M. S. College of Engineering
Bachelor's degree, Electronics Engineering
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