Jigar Patel

About Jigar Patel

A product-minded Technical Leader with over 15 years of experience architecting and scaling complex distributed systems. My background spans the full spectrum of the software lifecycle—from writing product requirements and strategy to large-scale operations and everything in between. I have launched products at both early-stage startups and big tech companies by transforming high-ambiguity business requirements into scalable technical platforms that serve millions of customers.Most recently at AWS, I have built the foundations that enable autonomous AI agents to perform cloud optimization. I bring a strong sense of ownership, customer obsession, and a \'dive deep\' mentality to every challenge. I am passionate about software craftsmanship and thrive in environments where I can act as a technical catalyst for customer-centric innovation. Specialties: Software engineering mainly using following technologies and AI agents - AWS, Kiro/Q, MCP Servers, AI Skills, Kotlin, Python, Scala, Java, C#, SQL, Javascript, Android, Ruby on Rails, ASP.NET, Oracle, MySQL, MS-SQL, DynamoDB, S3, SQS, SNS, Step Functions, ECS, Lambda, EMR, Glue, Spark, ElasticSearch/OpenSearch

Experience

1. Senior Software Engineer

   Amazon Web Services (AWS)

   Oct 2019 — Present · Seattle, WA, US

   Technical Leadership & Product-Minded Engineering* Strategic Internal Transformation: Spearheaded a multi-year initiative to modernize Amazon’s internal cloud financial management by enabling native AWS cost products and realize millions in annual savings. Authored the PR/FAQ, User Journeys, roadmap, high level design, and decision documents to align 5+ organizations. Provided technical leadership to a \"tiger team\" from 10+ teams to deliver milestones in phased manner while being hands on in both implementation and support.* Complex Systems Integration: Engineered backward-compatible billing modifications to ensure zero disruption for internal/external customers while scaling data systems to meet \"whale-scale\" processing demands.* AWS Cost Optimization Hub (launched at re:Invent 2023 and adopted by >1M customers): Led end-to-end design and launch; built industry-first savings de-duplication algorithm & standardized recommendations format across 10+ recommendation types enabling AI chatbots and agents; scaled for high-traffic accounts using Elasticsearch and Spark; coordinated development across 7 teams.* AWS Compute Optimizer: designed recommendation customization platform, launched at re:Invent 2021;* Engineering Efficiency: Generalized GDPR and AWS Organizations integration, saving ~20+ weeks of effort. Refactored Control Plane services to cut on-boarding time for new resource types by ~60%.* Technical Consulting and Support: Provided architectural guidance for Cost Efficiency Score (re:invent 2025), RDS recommendations for Compute Optimizer, and Billing Data Exports. Supported organizational operational planning, service reviews, hiring (100+ interviews), promotions (10+), and technical talks to drive engineering productivity.* Operational Excellence: Led deep dives into JVM performance (OOMs, GC spikes), flaky tests, and defined an end-to-end testing strategy, resulting in a 20% drop in support tickets and 50% improved pipeline freshness.

Education

• Carnegie Mellon University

  Master of Science (MS)

  2013 — 2015

• Gujarat University

  B.E., Computer Engineering

  2000 — 2004

• Sainik School Balachadi

  Higher Secondary School, Maths, Social Science, English, Science, Hindi, Gujarati

  1993 — 2000

Skills

• C#
• .net
• Jquery
• Web Applications
• Vb.net
• Web Services
• Javascript
• Sharepoint
• Java
• Ruby
• Oracle Sql
• C
• T-Sql
• Sql
• Ssrs
• Asp.net
• Software Development
• Nosql
• Python
• Asp
• Mysql
• Pl/Sql
• Amazon Web Services (Aws)
• Ssis
• Hbase
• Ruby on Rails
• Android
• Winforms