amazon > amazon Employee Directory > Preethish Purushothaman
preethish-purushothaman
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Preethish Purushothaman
Software Development Engineer
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Location: San Francisco Bay AreaApprox. Years of Experience: 10
Preethish Purushothaman's Current Workplace
Amazon
Company Size
2500+
Amount Raised
$8.1B
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.\n\nOur mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.\n\nYou'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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Notable Investors
DBS Bank, Kleiner Perkins, Mizuho Bank, AOL
Customer Service
Developer Platform
E-Commerce Platforms
Cloud Infrastructure
Experience
Software Development Engineer
Amazon · Full-time
Apr 2021 - Present
4 yrs 2 mos
Skills: Programming · AWS Lambda · AWS CloudFormation · Microservices · Amazon Redshift · Amazon S3 · SQL · Git · Amazon ECS · Amazon Simple Notification Service (SNS) · Amazon Dynamodb · Amazon SQS · Elasticsearch · Redis · Amazon Web Services (AWS) · Serverless Computing · Api gateway · Amazon Elasticsearch Service · Serverless · Java · Amazon Kinesis · AWS Glue · Amazon Athena · AWS SageMaker · Amazon Elastic MapReduce (EMR) · Amazon Bedrock · Large Language Models (LLM) · Python
Glassdoor
Aug 2019 - Apr 2021
Senior Software Engineer
Nov 2020 - Apr 2021
6 mos
◦ Worked as part of the JobAlert platform team to develop services that deliver relevant content and jobs to users. ◦ Built a scalable event processor/data pipeline to process invitations to apply for job seekers. ◦ Built several critical components that would enable Glassdoor to move to Indeed’s Job Search Platform. ◦ Migrated several critical services to use Prometheus to collect application and infrastructure metrics. ◦ Worked on multiple bug fixes and infrastructure/performance improvements. Skills: Groovy · Jetty · Python · Node.js · SQL · Git · Redis · Amazon Web Services (AWS) · Maven · Representational State Transfer (REST) · Java · Spring Framework · Programming · Microservices · Amazon S3 · RabbitMQ · Prometheus · JavaScript · GraphQL
Software Engineer
Aug 2019 - Oct 2020
1 yr 3 mos
Java, Microservices, Distributed Systems, RabbitMQ, Amazon S3, Prometheus, GraphQL Skills: Groovy · Jetty · Python · Node.js · SQL · Git · Redis · Amazon Web Services (AWS) · Maven · Representational State Transfer (REST) · Java · Spring Framework · Programming · Microservices · Amazon S3 · RabbitMQ · Prometheus · JavaScript · GraphQL
Software Engineer
eharmony · Full-time
Aug 2017 - Aug 2019
2 yrs 1 mo
• Worked as part of the Recommendations Team to develop and maintain multiple services that govern eHarmony’s compatibility matching. • Re-architected eHarmony’s recommendations and notification services to be cloud-native. Google Cloud Pub/Sub, BigTable, gRPC, Kubernetes, Docker. • Rewrote the entire event-driven architecture to work with RabbitMQ and implemented a back-off strategy to effectively retry events. Migrated several applications to use RabbitMQ as a message broker. Performed extensive scenario-based load testing. • Optimized Mongo queries to read user information in under 5 ms by re-sharding collections appropriately. • Worked on eHarmony's payments and subscription systems to implement sales tax surcharges and the ability to apply promotion codes to subscriptions. • Built tooling around eHarmony's subscription systems to make it easier for internal users to upload/modify various ongoing promotions. • Performed day-to-day bug fixes and infrastructure improvements. Technologies and languages used: Java, Scala, Groovy, Spring, Spring Boot, Spring Integration, Mockito, JUnit, Apache Spark, MongoDB, Google Cloud Pub/Sub, Cloud BigTable, Apache HBase, Redis, Google Cloud Datastore, RabbitMQ, Apache Kafka, Protocol Buffers, Jetty, Jersey, Spring Cloud, Chef, Jenkins. Skills: BigTable · Spring Integration · Groovy · Jetty · Python · SQL · Git · Redis · Maven · Representational State Transfer (REST) · Grails · Java · MongoDB · Scala · Spring Framework · Programming · Microservices · HBase · Google Cloud Platform · Apache Kafka · Apache Spark · RabbitMQ · Kubernetes
Software Engineering Intern, R&D
Stamps.com · Internship
May 2016 - Aug 2016
4 mos
R&D Client Server Team Implemented a Standalone Payments Module to replace existing Cryptographic Co-Processors (which handles all the credit card transactions). I worked primarily on writing adapters on top of the existing legacy code so as to leverage it. This also involved writing adapters to leverage the Microsoft CryptoAPI to handle all the cryptographic operations (RSA, DSA Signatures, MAC Authentication, etc). The work mostly involved writing code in C/C++. Skills: C++ · Git · Representational State Transfer (REST) · Programming · C
Research Intern
Amrita Multi-Dimensional Data Analytics Lab (AMuDA) · Internship
May 2013 - Dec 2014
1 yr 8 mos
I started my research internship at the Amrita Multi-dimensional Data Analytics Lab which was funded by the Department of Science and Technology of the Government of India, under the guidance of Dr. Vidhya Balasubramanian at the end of my sophomore year. I learnt and implemented different RFID based indoor localization techniques to track objects. I co-authored a paper titled “Object Level Mapping of an Indoor Environment using RFID” in which we devised an algorithm to effectively generate an Indoor object-level map of an indoor environment using the data gathered from a handheld RFID sensor and Inertial navigational sensors. The system can help in times of an emergency i.e., a natural disaster by aiding in rescue operations and escape route planning. I, along with my team presented this work at Ubiquitous Positioning, Indoor Navigation and Location-based Services (UPINLBS), Corpus Christi, Texas, USA. The work has been published as a full paper in IEEE Xplore. Skills: Programming Object level mapping of an indoor environment using RFID
Education
  • 2015 - 2017
    University of Southern CaliforniaMaster’s Degree, Computer Science
  • 2011 - 2015
    Amrita Vishwa Vidyapeetham, CoimbatoreBachelor’s Degree, Computer Science
  • Jun 1997 - Apr 2011
    SBOA School & Junior CollegeHigh School Diploma