cody Farrier
@codyfarrier
Senior software engineer specializing in scalable cloud-native full‑stack systems.
What I'm looking for
I am a Senior Software Engineer with over 10 years of experience building scalable, cloud-based solutions across e-commerce, healthcare, and SaaS industries. I specialize in end-to-end system design, cloud architecture, and performance-driven full‑stack development.
At ConsciousNetworks I rebuilt a React + TypeScript front end and introduced a component-driven design system that improved rendering performance by 45% and reduced feature delivery time by 40%. I also architected AWS-native infrastructure supporting 200+ enterprise clients with 99.99% uptime.
Previously I led full‑stack projects at LoungeLizard, building multi-tenant CMS platforms with GraphQL and PostgreSQL that cut development time by 60%, and implemented performance optimizations that improved Core Web Vitals and conversion metrics. At Meta I contributed to data-driven React components and backend APIs for personalized feeds under heavy traffic.
I focus on reliable, secure systems—leveraging microservices, CI/CD, observability, and security best practices (HIPAA, OAuth2/JWT)—to deliver high-impact solutions that drive business growth and operational resilience.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
ConsciousNetworks
Sep 2022 - Present (3 years 2 months)
Rebuilt front-end with React+TypeScript and a shared design system, improving rendering performance 45% and reducing feature delivery time 40%; architected AWS cloud-native infrastructure and Terraform CI/CD to support 200+ enterprise clients at 99.99% uptime.
Senior Software Engineer
LoungeLizard
Feb 2018 - Jun 2022 (4 years 4 months)
Led full-stack development for marketing and e-commerce clients using Next.js and .NET Core, built a multi-tenant GraphQL CMS that reduced development time 60% and optimized performance to cut page load time 40%.
Built data-driven React components and Python backend APIs for personalized feeds, reducing client-side rendering time 25% and optimizing read latency under heavy traffic through caching and query plan improvements.
Software Engineer
NeoLight
Feb 2014 - Mar 2015 (1 year 1 month)
Designed real-time neonatal monitoring systems with React and Spring Boot achieving sub-200ms data latency; implemented WebSocket communications and REST APIs to synchronize devices and clinician dashboards.
Education
Degrees, certifications, and relevant coursework
William Penn University
Bachelor of Science, Computer Science
2009 - 2013
Completed a Bachelor of Science in Computer Science covering core software engineering topics and systems development from April 2009 to May 2013.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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