Open to opportunities

Chris User

@chrisuser13

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Senior software engineer building scalable cloud and AI systems.

United States

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What I'm looking for

I seek hands-on roles building scalable cloud and AI systems in fast-moving, remote teams where I can impact product direction and mentor engineers.

I am a senior software engineer with over 15 years of experience designing, building, and shipping high-performance, cloud-native and AI-powered systems. I have driven end-to-end projects at scale — from low-latency trading engines and blockchain platforms to AI tools that processed billions of lines of code and automated massive application migrations.

My strengths include architecting microservices on AWS, implementing MLOps and LLM-based solutions, and improving reliability, performance, and cost efficiency across large systems. I thrive in fast-moving, remote teams where I can remain hands-on with code while collaborating cross-functionally to deliver measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Development Engineer

Current

Amazon

Dec 2020 - Present (4 years 10 months)

Contributed to Amazon Q Code Transformation to automate Java modernization, processing over 5 billion lines of code and upgrading 1,000+ enterprise applications within 48 hours while reducing production vulnerabilities by 40%.

Java Python TypeScript AWS Sagemaker Kubernetes Terraform fastAPI Machine Learning CI CD

Senior Software Engineer

CME Group

Jul 2016 - Dec 2020 (4 years 5 months)

Designed and launched the Royal Mint Gold blockchain platform handling $500M+ in assets and built a low-latency FIX engine that improved throughput by 40% and reduced latency to under 2 ms for HFT use cases.

Java SBE Blockchain Python PostgreSQL Redis Docker Kubernetes Terraform

Senior Programmer

Accenture Technology Solutions

Jun 2010 - Jul 2016 (6 years 1 month)

Modernized Nordea Bank's Temenos T24 core by refactoring into Spring Boot microservices, increasing transaction throughput by 50% and tripling deployment frequency through cloud adoption and automation.