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