---
title: "Maneesh Agrawal - Head of Platform (Cloud Platforms & Engineering) in Bengaluru | Tal"
description: "Meet Maneesh Agrawal, Leadership - Engineering (Platform Engineering @ Wayfair | Ex-Adobe | Ex-Yahoo | Start-ups) based in Bengaluru. AI stack includes anthropic apis, claude code, and cursor."
image: "https://tal.club/meet/maneesh-agrawal/share-image"
---

# Maneesh Agrawal on Tal

## Headline

Leadership \- Engineering \(Platform Engineering @ Wayfair \| Ex\-Adobe \| Ex\-Yahoo \| Start\-ups\)

## About

24\+ years experience in Reliability, Software and Cloud with experience managing large\-scale distributed systems, BIG DATA technologies, Hadoop ecosystems, Internet applications, and technologies\. \* Accomplished technical/people leadership with good 24\+ years of experience with the ability to build and manage global teams and having strong business sense in various domains\. \* Proven leadership skills in leading and managing geographically dispersed large\-scale data infrastructure & production engineering, DevOps, TechOps, and operations engineering teams with close collaboration across product, operations & business leadership teams\. \* Expertise in Big Data, Hadoop ecosystem & technologies\. \* Expertise in Business Intelligence, Data Warehousing, Data mining, Reporting & Analytics\. \* Strong knowledge of Data Integration & Messaging Services\. \* Strong knowledge of Advertising/Publishing and relative domains in the advertising ecosystems \* Operated massive User data & Mobile App Analytics products\. \* Strong experience in production readiness, product strategy, engineering management & leadership \* Highly involved in Project Management, developing Success Criteria, Impact Analysis, Failure Mode and Effect Analysis, Business Process \* Analysis and Requirement Gathering and preparing both Functional and non\-Functional Specifications, Product Evaluation, Solution Design, Technical Design, Development, and testing during the execution phase of the projects\. Specialties: \* Multi\-Cloud Strategy across Private & Public Clouds \(GCP, Azure, AWS\.\.\) \* Large migrations across DC to Public clouds \* Large Scale Distributed Operations, Automations \* Grid Computing, Data Pipeline Operations, Remote Management, Incidence Management, Hadoop Eco System \* ETL, Data warehousing \* Large\-scale data infrastructure, distributed data systems \* Service and Production engineering \* BIG Data processing and ecosystem \* e\-commerce services like product catalog development, payment gateway development as a service, B2B, and B2C in\-depth business sense\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

cursor

n8n

Devin

## Work experience

Head of Platform \(Cloud Platforms & Engineering\) at Wayfair, May 2023 \- Present · 3 yrs 4 mos, Bengaluru, Karnataka, India

Vice President Reliability Engineering, Security & Cloud Engineering \- BYJU’s Group at BYJU'S, Feb 2022 \- Dec 2022 · 11 mos, India, Cloud Engineering \(Platform & Services\), Site & Cloud Reliability Engineering, Cyber Security \(Cloud Security, VAPT, InfoSec\) for all BYJU’s group of companies\. Entire BYJU's group, Technology BU \- This BU is responsible for delivering ed\-tech requirements by making sure scalability, high\-availability, performance, and operability issues are addressed beforehand and support the multi\-billion dollar business with great engagement with the Sciences and Product team starting from proof of concept to actual implementation focusing on every detail related to non\-functional areas\. Site Reliability, Cloud Engineering & Security is the key function that drives all global infrastructure delivery & engineering, cloud governance and enablement, data governance, and cloud spend CoE, horizontally across the entire business\.

Director Production Engineering, Cloud Engineering and Site Reliability \- Digital Experience at Adobe, Feb 2017 \- Feb 2022 · 5 yrs 1 mo, Bengaluru, Karnataka, India, Responsible for Digital Experience Cloud Engineering, Site Reliability, Managed Services, and Security Engineering\. This includes ensuring the delivery of our cloud\-hosted solutions, from the Public Cloud, and Data Center up to the application delivery\. Extensive experience in cost management of a SaaS/Cloud model \(P&L, COGS, Gross Margin\), DC operations, public cloud \(AWS/Azure\) management, architecture, elastic infrastructure, and critical service delivery components, including incident, change, and problem management\. Experienced in dealing with a strong technical staff and bridging to Sr\. Business Leaders and customers\. Built a team \(120\+\) to scale from a single location to over 600 personnel, distributed across the globe to provide 24/7/365 technology services\.

Head of Production Engineering \(Sr\. Director\) \- Office of CTO at Ola Cabs at Ola \(ANI Technologies Pvt Ltd\), Jan 2015 \- Feb 2017 · 2 yrs 2 mos, Bengaluru Area, India, Started from ground Zero and set up a strong engineering team of 300\+ to operate OLA at scale, established Infrastructure Engineering, Site Reliability Engineering, and Data platform teams to manage complete infrastructure, and cost management of a SaaS/Cloud model \(P&L, COGS, Gross Margin\)\. Various key initiatives and strategies driven from ideation to implementation, AWS, AZURE strategic partnership, cost efficiency, e2e automation across reliability, and product deliveries are just a few of them among various other key achievements\.

Sr\. Engineering Manager \(Production & Infrastructure Engineering\) \- Data Platform at InMobi, Oct 2011 \- Dec 2014 · 3 yrs 3 mos, Bangalore, Part of core engineering leadership & management team\. Managing an awesome team working on InMobi's core Data & User Platform\. This group has been managing a highly scalable DATA system, Data Management & Processing Platform 'Falcon’, ‘Conduit' which is now Apache Incubator Projects\. And process entire InMobi data using Hadoop eco system with massive infrastructure and manage production Engineering / DevOps projects\. Working on thrilling challenges around designing and running systems that work at incredible scale \(petabyte scale data, 10 billion\+ of events per day and 600\+ million monthly users\) across multiple data centers, massive Hadoop / HBASE clusters\. Working closely with core development, product and business group for customising solutions on Infra/operations side and deliver really tight SLAs keeping high profile consumers like king\.com, EA Sports, Samsung and many more\. Key focus Areas: \- Big Data platform for massively large\-scale data processing \(batch & stream\)\. \- Manage massive Hadoop and HBASE clusters across various co\-locations and ensuring cluster caters the data processing needs\. \- Involve from the first day of development phase, work on performance benchmarking analysis, operability, and production readiness analysis till production implementation and post\-production operations\. \- Keeping an HAWKEYE on production issues, perform the pattern / behavior analysis and have appropriate corrective measures and come up with remediation\. \- Deep understanding of system and regular check on capacity analysis and work on capacity planning\. \- Unified Big Data Analytics Platform to support multiple analytics use\-cases \(batch, real\-time, ad\-hoc\) Leveraging right technologies and consistent innovations in the Hadoop & eco\-system\. \- Production engineering of User platform, which is building user behavioral & intent profiles and leveraging these user insights in ad relevance prediction models and audience targeting\.

## Education

Executive Mgmt, Emerging Leadership Modules, Indian Institute of Management Bangalore

PGDIM, Information Management, University of lucknow

[View the original profile](https://tal.club/meet/maneesh-agrawal)

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