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David Wyler

@davidwyler

I’m a Lead Full-Stack Engineer building cloud-native, distributed platforms with React, Go/Java/Python, Kubernetes, and event-driven systems.

Zimbabwe
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What I'm looking for

I’m looking to build and lead cloud-native full-stack platforms where reliability, observability, and event-driven scalability matter—integrating AI-assisted automation and modern CI/CD so teams can ship confidently in high-availability environments.

I’m a Lead Full-Stack Engineer with 13+ years of experience building cloud-native platforms, distributed backend systems, and operational web applications across telecom and enterprise SaaS environments. I focus on reliability, performance, and scalable architecture that keeps critical workflows moving.

At AT&T (02/2019–Present), I design and build full-stack platforms and operational tooling for telecom infrastructure, customer-service workflows, and AI-driven operational systems. I’ve led modernization initiatives migrating legacy workflows into containerized microservice architectures on Kubernetes across AWS and Azure.

I develop and integrate backend services and APIs using Java (Spring Boot), Go, Node.js, and Python, including REST and GraphQL APIs to improve service interoperability. I implement Kafka-based event-driven communication and Redis-based caching strategies to support asynchronous processing and high-volume endpoint performance.

I also bring production excellence through monitoring workflows, incident debugging, and CI/CD reliability improvements, while mentoring engineers through code reviews and collaborative troubleshooting. Earlier at Workday (10/2013–01/2019), I delivered enterprise SaaS features using Python/FastAPI-Flask, React/TypeScript, PostgreSQL, and Jenkins-based CI/CD for large-scale HR and reporting use cases.

Experience

Work history, roles, and key accomplishments

AT&T logoAT
Current

Lead Full Stack Engineer

Feb 2019 - Present (7 years 4 months)

Designed and developed full-stack platforms and operational tooling for telecom infrastructure, customer-service workflows, and AI-driven operational systems across distributed cloud environments. Led modernization efforts migrating legacy workflows to containerized microservices on Kubernetes and improved reliability through event-driven architectures, caching, and production monitoring.

Workday logoWO

Senior Full-Stack Software Engineer

Oct 2013 - Jan 2019 (5 years 3 months)

Built full-stack enterprise SaaS features for HR, workforce management, and financial business workflows used by large enterprise customers. Improved backend performance and reliability through Python/Flask APIs, PostgreSQL query optimization, and CI/CD automation, while delivering reusable React/TypeScript UI components and resolving production issues.

Education

Degrees, certifications, and relevant coursework

UT

University of Texas

Bachelor of Science, Computer Science

2009 - 2013

Bachelor of Science in Computer Science from the University of Texas, completed from 2009 to 2013.

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