Open to opportunities

Alex Jones

@alexjones1

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Senior Full-Stack Engineer and Cloud Architect delivering scalable, high‑availability systems.

United States

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What I'm looking for

I seek senior engineering roles where I can architect scalable cloud-native systems, lead cross-functional teams, and improve reliability, performance, and deployment velocity in a collaborative, DevOps-focused culture.

I am a Senior Full-Stack Engineer and Cloud Architect with 8+ years building large-scale, high-performance web and cloud applications. I specialize in MERN/Next.js, .NET Core, Java/Spring Boot, and Python frameworks, and I design resilient microservices, CI/CD pipelines, and secure APIs across AWS, Azure, and Kubernetes environments.

I have architected multi-tenant SaaS platforms supporting thousands of concurrent users with 99.99% uptime, reduced release times by 60% via automated pipelines, and cut cloud costs by up to 30% through cost-aware autoscaling and IaC. I prioritize observability, security (Okta, OAuth2/JWT), and performance optimization to deliver reliable, maintainable systems that meet enterprise demands.

Experience

Work history, roles, and key accomplishments

Senior Full-Stack Engineer

TeamLogic IT

May 2022 - Feb 2024 (1 year 9 months)

Architected and delivered a multi-tenant SaaS analytics platform supporting 15,000+ concurrent users with zero downtime and reduced release failures by 90% through microservices and CI/CD improvements.

Next.js MongoDB Terraform Docker Kubernetes GraphQL Redis

Senior Backend Developer

Integrity Networks, Inc.

Jan 2020 - Feb 2022 (2 years 1 month)

Led migration from monolithic Java EE to Spring Boot microservices supporting millions of daily transactions, improving system throughput by 35% and reducing release complexity by 70%.

.NET Core Spring Boot Kafka Terraform Jenkins PostgreSQL ELK Stack

Full-Stack Developer

MediFusion

Jan 2017 - Oct 2019 (2 years 9 months)

Developed MERN and Python-based web applications and ETL pipelines that delivered 99.9% uptime and reduced API latency by 40% through async optimization and caching strategies.