---
title: "Amogh Jagadeesh - Senior Cloud Engineer in Bengaluru | Tal"
description: "Meet Amogh Jagadeesh, Senior Cloud Engineer at Thomson Reuters. based in Bengaluru. AI stack includes claude code, cursor, and hermes agent."
image: "https://tal.club/meet/amogh-jagadeesh/share-image"
---

# Amogh Jagadeesh on Tal

## Headline

Senior Cloud Engineer at Thomson Reuters\.

## About

Senior Cloud Engineer at Thomson Reuters, specializing in agentic AI systems for cloud automation\. I design and deploy multi\-agent workflows that replace manual cloud operations with intelligent, self\-governing platforms, tightly integrated with AWS infrastructure, security, and governance\. Strong foundation in cloud platform engineering, infrastructure automation, and AI\-driven systems at enterprise scale\.

## Location

Bengaluru

## AI stack

claude code

cursor

hermes agent

langchain

langgraph

Supabase

## Work experience

Senior Cloud Engineer at Thomson Reuters, Apr 2026 \- Present · 7 mos, Bengaluru, Karnataka, India · Hybrid

Cloud Engineer at Thomson Reuters, May 2024 \- Mar 2026 · 1 yr 11 mos, Bengaluru, Karnataka, India · Hybrid, • Multi\-agent AI automation at scale: Architected an event\-driven Agentic Infrastructure Control Plane using LangGraph and LangChain\. Designed autonomous agents to handle state management and dependency resolution for AWS account vending, reducing provisioning latency by 95% \(<4 hours vs 1 day\) and enabling parallel concurrency of 6\-8 accounts\. • Enterprise Scale Landing Zone: Designed and implemented a scalable Hub\-and\-Spoke Network Topology for 700\+ accounts using AWS Transit Gateway and centralized Network Firewall inspection\. Developed custom Step Functions state machines to orchestrate VPC vending, reducing mean\-time\-to\-deployment \(MTTD\) by 60%\. • Multi\-account security controls & compliance: Enforced Policy\-as\-Code \(PaC\) methodologies using Cloudformation and AWS Config to govern 700\+ accounts\. Automated the remediation of non\-compliant resources \(e\.g\., unencrypted EBS volumes\), achieving 100% audit readiness for FedRAMP/GovCloud compliance standards\. • Infrastructure Visibility: Engineered a self\-service Network Policy API to automate firewall orchestration across global Organizational Units \(OUs\); transitioned the networking services team from manual ticket\-based workflows to an automated deployment model\. • Cost optimization – $400K annual savings: Spearheaded a FinOps initiative reducing annual cloud spend by $400K\. Built automated lifecycle policies for EBS snapshots and developed a custom heuristic engine to identify and deprecate 3,000\+ orphaned Lambda functions and idle resources\.

Senior Product Engineer at LTIMindtree, Nov 2021 \- May 2024 · 2 yrs 7 mos, Bangalore Urban, Karnataka, India, \*Architected and developed RESTful APIs, intricate packages, and robust data processing pipelines for LUMIN, a cutting\-edge data analytics solution innovated by FOSFOR, using Python extensively\. \*Revamped and modernized existing microservices architecture using FastAPI and Flask, resulting in a 50% increase in throughput and a 30% decrease in error rates, enhancing overall system reliability and customer satisfaction\. \*Engineered highly efficient SQL queries and data lake schemas, culminating in a remarkable 30% reduction in query execution times, enabling near\-instantaneous retrieval of millions of rows across diverse platforms including Snowflake, Dremio, and Databricks\. \* Developed a native Snowflake app that leveraged UDFs and Snowpark to train a machine learning model for the transformation of natural language into SQL queries, demonstrating my proficiency in Snowflake\. \* Proficiently implemented a range of AWS services, including S3 with KMS encryption, EKS, EFS, IAM, CloudFront, API Gateway, and Lambda, demonstrating expertise in architecting and deploying cloud\-based solutions for diverse business needs\. \* Designed and executed AWS enterprise solutions for Lumin, optimizing infrastructure creation and deployment via Airflow, Terraform, Helm, and shell scripts, slashing deployment time from 6 hours to 45 minutes\.

Graduate Engineering Trainee at LTIMindtree, Aug 2021 \- Nov 2021 · 4 mos, Bengaluru, Karnataka, India

Machine Learning Trainee at BRAINOVISION SOLUTIONS INDIA PVT\.LTD, Jul 2020 \- Sep 2020 · 3 mos

## Education

Bachelor of Engineering \- BE, Information Science and Engineering, JSS Academy Of Technical Education Karnataka

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

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