Thomas Gleiforst

AT&T

January 2025 – Present

Lead Software Engineer / Technical Lead

• Use AI-assisted development tools — GitHub Copilot, Windsurf IDE, and cloud-based agentic coding workflows — in a disciplined, production-grade way across the full development lifecycle
• Developed custom AI-powered workflow skills for Windsurf IDE, enabling teammates to apply consistent patterns through natural language to generate knowledge vaults and LLDs — reducing ramp time and enforcing standards at the point of development
• Delegate story implementation to multiple cloud-based AI agents in parallel, compressing delivery timelines while personally driving architecture decisions and high-impact, complex features
• Produce AI-assisted Low Level Design documentation for epics, reducing ambiguity and aligning a 9-engineer cross-functional team before implementation begins
• Conduct approximately 20–30 technical interviews per year for senior and principal developer lead candidates, consistently raising the hiring bar across the organization
• Piloted an integrated operating model uniting business, product, research, analytics, design, and content leads — improving cross-functional alignment and reducing handoff friction across the delivery cycle
• Planned and delivered at least 3 end-to-end epics per Program Increment, partnering with release management, performance testing, and site reliability to maintain smooth bi-weekly production releases

AT&T

July 2022 – January 2025

Senior Software Engineer

• Owned a new offers page construct end-to-end — architecture, implementation, A/B experimentation, and production monitoring — serving 250k users/month with a 14% engagement rate
• Designed and ran A/B experiments using feature flag-driven development to safely ramp features, instrument behavior, and iterate rapidly from real usage telemetry
• Architected a shared component library of 65+ reusable components, establishing the patterns and governance that multiple product teams built on top of
• Optimized legacy frontend code, improving Largest Contentful Paint (LCP) by 20% and achieving an 'A' accessibility rating
• Decreased production defect rate by 80% through rigorous code review culture, unit test creation, and consistent engineering standards
• Accelerated feature delivery 50% faster than traditional scrum cadence by championing a standalone Kanban model
• Built and maintain a Chrome extension adopted across the wider AT&T CTX org — streamlines debugging, enables production testing, and automates repetitive workflows for engineers, QA, and non-technical business partners

AT&T

May 2021 – July 2022

Technology Development Program – Engineer I

• Centralized shared component architecture, removing 1,000+ lines of duplicate code and standardizing design decisions across teams
• Introduced granular chunk-based page loading to improve rendering performance across high-traffic customer experiences
• Debugged build and pipeline issues to maintain continuous deployment to dev and test environments

AT&T

June 2020 – August 2020

Technology Development Program – Intern (Remote)

• Refactored a plain HTML/JS site into a full ReactJS dashboard with improved structure and maintainability
• Built a React Native app focused on accessibility and customer-first design

Missouri S&T Mars Rover Design Team

August 2018 – May 2021

Software Architect

• Led migration of a C# WPF codebase to ReactJS + Electron, owning architecture decisions and mentoring the front-end team through the full transition
• Architected a multi-monitor, real-time desktop control application under strict hardware constraints — designing for reliability, performance, and maintainability
• Performed thorough code reviews across all repositories and taught 20 new developers agile, ticket-driven development practices
• Coordinated multidisciplinary communication on requirements, constraints, and design decisions across engineering disciplines