Senior Solutions Architect - Fintech Startups at Amazon Web Services (AWS)
Bengaluru, Karnataka, India
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Summary
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Senior
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Top School
Sathish Hariharan is a senior solutions architect and former startup CTO with over two decades of experience designing and building distributed systems for enterprises and consumer-facing startups. Based in Bengaluru, he currently advises fintech startups at AWS, focusing on secure, reliable, cost‑effective cloud architectures and operational excellence. He combines hands‑on full‑stack development—web, hybrid mobile, and cloud‑native systems—with product ownership, having co‑founded and scaled an edtech startup that served hundreds of schools and drove significant organic growth through automated content and SEO pipelines. His background spans enterprise banking programs, large outsourced engagements, and building CI/CD and DevOps automation across AWS and GCP. Known for translating business needs into pragmatic architectures, he blends technical depth in Node.js, Java, containerization and cloud services with experience in team leadership and agile delivery. An often‑overlooked strength is his track record of building offline/print product flows (printable worksheets, activity boxes) alongside digital platforms to boost engagement and conversions.
11 years of coding experience
22 years of employment as a software developer
PGSM, Business Administration and Management, General, PGSM, Business Administration and Management, General at Indian Institute of Management Bangalore
B-Tech, Electronics and Instrumentation, B-Tech, Electronics and Instrumentation at College of Engineering, Trivandrum
The objective of this sample is to help you to build a CI-CD pipeline to test mobile devices using the AWS Devicefarm. The sample makes use of the AWS Codepipeline service to connect build assets published to an Amazon S3 bucket to an AWS Devicefarm project. The code pipeline uses AWS CodeBuild for its testing stage to initiate the test runs on Devicefarm and gathers test results. These test results are then published back to an S3 bucket for further processing
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