Jay Patel

About Jay Patel

Director of Engineering & Cloud Leader with 15+ years of experience transforming engineering organizations. Proven track record of scaling high-performance teams, modernizing legacy platforms via Azure/AWS, and delivering 30%+ cloud cost reductions. Expert in aligning technical execution with C-level business strategy and pioneering enterprise-wide AI adoption including architecting agentic AI frameworks for autonomous infrastructure management, cloud cost optimization, and developer velocity. Led the creation of a GenAI Center of Excellence delivering agentic agents powered by Claude Sonnet/Opus and GitHub Copilot across SRE, DevOps, and cloud operations

Experience

1. Director of Engineering

   Donnelley Financial Solutions (DFIN)

   Jun 2025 — Present

   Orchestrate the global engineering strategy for Software, DevOps, and Site Reliability Engineering (SRE), aligning technical roadmaps with executive business goals to support global revenue growth.• Champion a company-wide transformation, shifting security left to reduce vulnerability detection time by 40% and ensuring SOC2 compliance.• Engineer an AI-driven operational model (AIOps), automating incident response analysis and reducing Mean Time to Recover (MTTR) by 25%.• Define engineering KPIs and SLOs/SLIs, establishing a data-driven culture that has improved deploymentfrequency by 2x.• Spearhead enterprise-wide Generative AI transformation, predictive analytics establishing an internal GenAI Center of Excellence integrating AWS Bedrock and Anthropic Claude (Sonnet 4.5/4.6, Opus) to accelerate engineering productivity and operational intelligence.• Architect and deploy autonomous AI agents for infrastructure lifecycle management including automated tagging, environment provisioning, and compliance enforcement reducing manual toil by 35%+.• Drive cloud cost management automation via GenAI-powered agents that continuously analyze spend patterns,generate right-sizing recommendations, and trigger remediation workflows, contributing to ongoing FinOps savings.• Lead AI-assisted CI/CD pipeline creation using LLM-generated scaffolding and GitHub Copilot, cutting pipeline build time by 50% and standardizing delivery across 10+ engineering squads.• Oversee organization-wide GitHub Copilot rollout, driving developer adoption and measuring productivity improvements through code velocity and PR cycle-time metrics.

Education

• University of Illinois at Chicago

  Bachelor of Science (BS), Electrical Engineering

  2009 — 2012

Skills

• Test Engineering
• Manufacturing
• Business Process Improvement
• Engineering
• Product Development
• Embedded Systems
• Engineering Management
• Asp.net
• Process Improvement
• Microsoft Office
• C#
• Microcontrollers
• Product Management
• Agile Methodologies
• Testing
• Electrical Engineering
• Electronics
• Continuous Improvement
• Lean Manufacturing
• Cross-Functional Team Leadership
• Sql Server Management Studio