Kevin Wong
@kevinwong1
I build self-service cloud platforms and reliable backend automation for engineering teams.
What I'm looking for
I'm building internal platform capabilities at Enlighten that give application teams secure, repeatable self-service paths to provision environments, deploy services, and operate workloads. I develop Terraform modules, Helm charts, CI/CD pipelines, Python/FastAPI services, and internal SDKs across AWS and Kubernetes.
Previously at Nielsen, I delivered Go-based platform services that automated onboarding and management for more than 100 engineering teams, reducing support requests by 80%. I also built a self-service GitLab Runner platform for 50+ teams that supported 1,000+ daily runner jobs.
My work spans EKS, AWS infrastructure, Docker, Kubernetes, observability, DevSecOps, PostgreSQL performance, incident response, and production reliability. I turn recurring operational failures into automation, monitoring, runbooks, and stronger platform safeguards.
I started by supporting Linux and database environments at the University of Florida, where I built a Django self-service application for database account creation and password resets. I bring a practical, full-stack perspective to developer platforms and cloud operations.
Experience
Work history, roles, and key accomplishments
Platform Engineer
Enlighten
Dec 2024 - Present (1 year 8 months)
Owns and evolves internal platform capabilities, building reusable Terraform modules, Helm charts, and CI/CD pipelines to standardize infrastructure across AWS and Kubernetes. Operates multi-tenant Kubernetes environments and improves observability with Prometheus, Grafana, and CloudWatch.
Education
Degrees, certifications, and relevant coursework
Georgia Institute of Technology
Master of Computer Science, Computer Science
2020 - 2023
Pursued a Master of Computer Science degree, focusing on advanced topics in computing and software engineering.
University of Florida
Bachelor of Computer Science, Computer Science
2014 - 2018
Earned a Bachelor of Computer Science degree, building a strong foundation in programming, algorithms, and software development.
Tech stack
Software and tools used professionally
Google Tag Manager
GitHub
GitLab
Kubernetes
Amazon EKS
Jenkins
GitHub Actions
GitLab CI
MySQL
PostgreSQL
Node.js
Django
Spring Boot
Google Analytics
Redis
Terraform
React
JavaScript
Python
HTML5
Java
CSS 3
Kafka
FastAPI
Grafana
Prometheus
Linux
Red Hat Enterprise Linux
Datadog
TypeScript
JUnit
Docker
SQL
Cursor
Terragrunt
Bash
Claude Code
ChatGPT
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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