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Sukriti Sinha

@sukritisinha1

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Software Development Engineer at Amazon who built a serverless S3 partition-warming system across 26 AWS regions.

India

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At Amazon, I led the design and delivery of a serverless S3 partition-warming system across 26 AWS regions, eliminating a 503-throttling failure mode that could trigger cluster-manager re-election loops and node outages.

I also contributed resiliency fixes to open-source OpenSearch, adding repository I/O timeouts and exponential-backoff retries so stuck snapshot operations could recover automatically.

At Amazon, I built storage observability for AWS OpenSearch, instrumenting EFS metrics and adding alerting across 100+ file systems. Earlier, as a Software Development Intern at Tata Power, I developed a utility-data dashboard with data-cleansing and outlier-detection workflows.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Amazon

Aug 2025 - Present (1 year 2 months)

Led the design and delivery of a serverless S3 partition-warming system using Java, AWS Lambda, Step Functions, EventBridge, and AWS CDK, eliminating a 503-throttling failure mode. Engineered core resiliency fixes in open-source OpenSearch and built full-lifecycle storage observability for AWS OpenSearch.

Java AWS Lambda Step Functions EventBridge AWS CDK OpenSearch Distributed Systems Cloudwatch Python Go S3 EFS Observability Reliability Engineering

Software Development Engineer Intern

Amazon

Jan 2025 - Jun 2025 (5 months)

Designed and implemented scalable AWS monitoring workflows using CloudWatch, Lambda, and AWS CDK, improving baseline resource observability by 70% across OpenSearch domains. Developed a high-performance diagnostic API in OpenSearch Core, reducing debugging time by 80%.

AWS Cloudwatch Lambda AWS CDK OpenSearch Java Monitoring API Development

Software Development Intern

Tata Power

Nov 2023 - Nov 2023 (0 months)

Developed an interactive data analytics dashboard using Python, Streamlit, Pandas, and Plotly for monitoring and analyzing utility data. Implemented data-cleansing and outlier detection workflows and built interactive visualizations to improve data analysis and reporting.

Python Streamlit Pandas Plotly Data Analysis Data Cleaning Visualization