aswini ghosh
@aswinighosh
Experienced cloud-native backend engineer specializing in large-scale distributed systems and reliability.
What I'm looking for
I am a passionate software engineer with extensive experience building, deploying, and maintaining large-scale distributed systems and cloud services, primarily on AWS. I focus on end-to-end system design, data-driven reliability engineering, and infrastructure automation to deliver secure, high-performance platforms.
At Amazon, I have architected observability services, led zero-downtime cross-region migrations for high-throughput services, and improved CI/CD pipelines using AWS CDK and CloudFormation. I routinely design and execute load, chaos, and resilience testing and automate recovery workflows to restore production data and improve SLAs.
I take ownership of security and compliance workstreams, implementing GDPR-compliant workflows and participating in AppSec reviews. I combine a strong backend and data-systems foundation with practical cloud-native engineering to reduce costs, improve resilience, and accelerate reliable delivery.
Experience
Work history, roles, and key accomplishments
Architected and developed a large-scale observability service for Amazon Pay and led zero-downtime cross-region migration of an 8k+ TPS service, achieving cost optimization and improved availability; owned CI/CD pipelines and GDPR data deletion workflows while improving security posture through AppSec remediation.
Designed and executed load, chaos, and resilience testing for Amazon Pay Checkout Services, optimized microservices for latency and throughput, and refactored URL management to resolve concurrency bottlenecks and improve consistency.
Built secure APIs with AWS Cognito and auditing using DynamoDB, enhanced Seller Central data workflows to reduce manual reconciliation, and optimized Amazon Pay Your Account Page reducing costs by approximately €18k/month.
Education
Degrees, certifications, and relevant coursework
Dayananda Sagar College of Engineering
Bachelor of Engineering, Computer Science and Engineering
Grade: 8.78/10.00
Activities and societies: Projects: Digital Twin (Nokia-Bell Labs sponsored) using Unity3D and C#; 3D surface modeling prediction from 2D sketches using Python, PyTorch, and Blender3D.
Bachelor of Engineering in Computer Science and Engineering with coursework in algorithms, data structures, operating systems, databases, computer networks, and compiler design; graduated in 2021 with a cumulative GPA of 8.78/10.00.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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