Sai Kiran Vadla
Experienced Software Development Engineer | Expert in Java, Python, Spring Framework, ReactJS, and AWS | Proven Success in Web Application Optimization and User Engagement
- Role
- Software Development Engineer at Amazon
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Sai Kiran Vadla
Engineering efficiency and scalability at Amazon Web Services As a Software…
Experience
Software Development Engineer
Sep 2022 — Present · WA, US
Designed and developed a centralized SageMaker API Service to handle all control plane customer requests, implementing AuthN/AuthZ, throttling, and CloudTrail logging, achieving 99.99% uptime and scalability across AWS regions. • Managed the Utilization Service to track SageMaker resource usage, implementing metering systems for billing via REMO, improving service quota compliance by 20% and resource optimization by 15%. • Developed a Metering Architecture for SageMaker using EC2 workers, SQS, Lambda, and DLQs, reducing billing errors by 15% through automated and manual handling. • Built the RoleProxyService to securely vend task and instance credentials for SageMaker workloads on EC2 and ECS, enhancing security compliance by 15%. • Led cross-functional collaboration with CloudFormation and CloudTrail teams to standardize resource provisioning, reducing manual intervention by 40% and enabling seamless multi-region deployments. • Designed canary tests and monitoring solutions using CloudWatch, iGraph, and Carnaval, reducing incident response times by 30%. • Improved the Business Metrics Pipeline by integrating with Redshift, enabling real-time insights into SageMaker usage trends and optimizing data flows for 35% better decision-making. • Automated deployment pipelines using Jenkins, CloudFormation, and AWS Pipelines, supporting staged releases and reducing deployment times by 50% while increasing release frequency by 25%. • Ensured operational excellence by implementing region parity, gamma stage testing, and allowlisting, maintaining 100% consistency in customer experiences globally. • Supported the end-to-end SageMaker ML workflow by integrating the API Service and Utilization Service, enabling seamless resource management and billing for ML workloads.
Education
University of Central Missouri
Master's degree
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