---
title: "Aviral Awasthi - DevOps Engineer III in Bengaluru | Tal"
description: "Meet Aviral Awasthi, Software Engineer III@ Amazon | GenAI, Java, MCP, Shell Scripting, Quicksight based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/aviral-awasthi/share-image"
---

# Aviral Awasthi on Tal

## Headline

Software Engineer III@ Amazon \| GenAI, Java, MCP, Shell Scripting, Quicksight

## About

Software Engineer III with 7\+ years of experience building scalable systems, data pipelines, and AI\-powered automation at Amazon and the National Stock Exchange \(via TCS\)\. At Amazon, I've designed full\-stack platforms \(Python, Java, AWS \- ECS, Redshift, Lambda, QuickSight\), shipped GenAI integrations achieving 40% automated resolution, and improved platform SLA from 12\.27 to 1\.87 days \(\~85% reduction\)\. Previously at TCS, I worked on low\-latency trading infrastructure, FIX protocol enhancements, and disaster recovery systems for NSE\. I enjoy solving complex distributed systems problems, writing clean production code, and building tools that eliminate toil at scale\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

gemini

kiro

mcp

## Work experience

DevOps Engineer III at Amazon, Sep 2024 \- Present · 2 yrs 3 mos, • Architected and Developed an MCP/Auto\-Triage system \- developed 3 APIs across 11 use cases, achieving \~40% automated resolution\. Deployed Agentic First Response for AI\-driven summarization and mitigation recommendations\. • Launched ADPT\-PACE\-OE Quicksight Dashboard platform version 2 with stack\-level metrics, automated WBR generation, and SLA trend analysis \- projected savings of 60\+ engineering hours/month\. • Conducted 17\+ technical interviews as a qualified interviewer for amazon, contributing to engineering hiring and team growth\.

DevOps Engineer II at Amazon, Aug 2022 \- Sep 2024 · 2 yrs 2 mos, • Built a full\-stack analytics platform \- Quicksight Dashboard \(Python ETL → Redshift → QuickSight\) with 10\+ visualization panels, enabling the org to exceed its 82\.51% SLA performance target\. • Developed ADPT\-PACE\-SE\-Helper, a browser tool automating workflow orchestration, one click spoofing, ID encryption/decryption, and Coral API requests \- saving 60\+ engineering hours/quarter\. • Integrated CloudWatch and SmartTTBot into two production services, enabling automated log enrichment and anomaly detection \- saving \~40 SDE on\-call hours/year\. • Drove \~70% reduction in ww promotion\-related escalations through process improvements, SOP fixes and workflow optimization\. • Reduced security risks from 1,200 → 140 \(88% decrease\) by merging packages, deprecating version sets, and shipping code fixes across the stack\.

System Engineer \( Client \- National Stock Echange \) at Tata Consultancy Services, Aug 2021 \- Aug 2022 · 1 yr 1 mo, • Automated manual operations tasks using Shell scripting, reducing manual effort by \~30% across the trading infrastructure team\. • Led the Accelerate program \- managed sprint planning and delivery of backlogged artefacts to NSE through agile sprints, clearing long\-pending deliverables\. • Automated Monthly SEBI report generation using shell scripting, reduced manual efforts by 70%\. • Received "Star of the Quarter" \(Q1 2022\) and "On the Spot" awards\. Maintained the highest performance band in annual appraisals for the entire tenure\.

Assistant System Engineer \(Client\- National Stock Exchange\) at Tata Consultancy Services, Aug 2020 \- Aug 2021 · 1 yr 1 mo, • Enhanced legacy scripts with new functionalities and resolved multiple production bugs, ensuring system stability during market hours\. • Part of the core team for the Near DR \(NDR\) project \- helped architect and deploy a new disaster recovery site to enhance business continuity for NSE's trading systems\. • Worked on the enhancement of Financial Information Exchange \(FIX\) protocol in the Futures & Options segment \- collaborated with a core team to introduce a new layer, reducing trading latency\.

Assistant System Engineer Trainee \(Client\- National Stock Exchange\) at Tata Consultancy Services, Aug 2019 \- Aug 2020 · 1 yr 1 mo, • Resolved critical production issues during crises, ensuring Business As Usual \(BAU\) for live trading operations received multiple client appreciations for proactive incident response\.

## Education

Bachelor of Technology \- BTech, Information Technology, Government engineering college

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

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