Prabakaran Nagarajan

Engineering Manager

Bengaluru, Karnataka, India12 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 11 years of experience in backend services.
Expert in AWS technologies and microservices architecture.
Recognized for innovative solutions and performance improvements.

Stackforce AI infers this person is a Backend-focused Software Engineer with extensive experience in E-commerce and Ad Tech industries.

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Skills

Other Skills

AlgorithmsCC++Data StructuresDistributed SystemsEclipseJavaLinuxOOPObject Oriented DesignOptimizationPerformance TuningPythonScalabilitySoftware Development

About

I am a Senior Software Development Engineer (SDE-III) at Amazon, with over 11 years of experience in designing and implementing scalable, reliable, and high-performance backend services. I have a strong background in object-oriented programming, Linux, and AWS technologies, and I enjoy solving complex problems and delivering innovative solutions. At Amazon, I have worked on various products and platforms, such as Alexa, Last Mile Delivery app, and WholeFoods, where I have designed and re-architected backend services for processing and storing data, enabling multi-tenancy, and improving latency and cost efficiency. My mission is to create customer-centric products that enhance the user experience and drive the business growth.

Experience

Amazon

2 roles

Engineering Manager/ Lead

Aug 2025 – Present · 7 mos · Bengaluru, Karnataka, India

Amazon Leo

Software Dev Engineer - III (L6)

Nov 2016 – Dec 2023 · 7 yrs 1 mo · Austin, Texas, United States

Designed the backend services responsible for processing/storing all types of feedback submitted by the Drivers from Amazon Last mile delivery app.
Designed the re-architecture of a high volume monolithic service invoked from Alexa App, into microservices leveraging the latest AWS technologies . Devised the migration strategy to route the public Internet facing traffic to microservices without any downtime.
Redesigned the storage responsible for storing the Alexa customers’ contact book, handling a very high volume backend service and enabled support for multi-tenancy. This in turn brought down the latency of the API calls and reduced the overall cost for storage significantly.
Played a key role in exposing the Contacts CRUD APIs publicly, to enable Alexa for the Enterprise setup such as Hotels, Hospitality, etc. Designed the backend flows responsible for handling all the contact API operations.
Overhauled the notification handling system for Amazon Last Mile delivery app, reducing latency from 2 hours to 15 minutes for notifications to 1M drivers.

Snap inc.

Software Engineer

Dec 2023 – Jul 2025 · 1 yr 7 mos · Seattle, Washington, United States

Re-architected the legacy central control plane component responsible for handling all big data processing workloads within Snap, migrated to a workflow-based system with Temporal for increased reliability and resilience. Awarded top 5% in the company for this work.
Designed and implemented a Graph Execution Platform to streamline interoperability and dependency resolution for complex big data processing workloads, enhancing efficiency and scalability.

Applift

Senior Software Engineer

Aug 2014 – Oct 2016 · 2 yrs 2 mos · Bengaluru Area, India · On-site

Involved in redesigning and implementing the real time data processing pipeline which processes the logs generated by ad-servers and feeds the aggregated data into mysql. The data fed into mysql is in-turn used by our ad-servers for real time budget calculation and dashboard. Used Apache Storm for Data processing and ZeroMQ to stream the logs to Storm.
Played a key role in launching our ad-serving platform in multiple data centers.
Built the initial version of bid prediction methodology which predicts how much to bid on an ad request coming from a mobile app from a country, exchange, etc. Calculation is done based on the historical experimental bidding data.
Worked on setting up Apache Kafka cluster as a centralized log storage/retrieval system. Implemented Kafka producers to push the logs generated from multiple machines into the cluster. Implemented a set of common consumer API's to fetch the stored logs from the cluster.
Ported an entire server code base from Lua to Golang. The server handles the win, impression, click, installs notifications from the mobile apps, exchanges, other platforms.

Amazon.com

SDE-I (L4)

Nov 2012 – Feb 2014 · 1 yr 3 mos · Chennai Area, India · On-site

Involved in implementation of tools to manage different versions of the Amazon Map tiles consumed by Amazon devices.
Involved in automation of Pipelines responsible for generating the Map Tiles using various data sources
Worked on enhancements in the web service which processes the feedbacks posted by users from Report A Problem feature in Amazon Maps