GitLab - Staff Backend Engineer, AI Engineering: Code Creation
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:date: 2025-10-28

I'm excited to apply for the Staff Backend Engineer - AI Engineering position at GitLab. With over 15 years architecting & scaling distributed systems—combined with deep Python expertise & hands-on AI integration experience—I bring the technical depth this role demands. At Coursemojo, I designed CI/CD pipelines for AI microservices, scaled language model integrations (OpenAI & Anthropic), & built real-time educational tools processing thousands of concurrent AI requests. I've also authored "uncloseai.com: Machine Learning Reference Guide to Inference Clients," documenting AI inference client implementations & streaming techniques across 42 programming languages—giving me comprehensive understanding of how different languages interact with AI models. My experience building high-performance APIs (Flask, Pyramid, uWSGI), optimizing database queries (PostgreSQL, MySQL, DynamoDB), & architecting containerized deployments directly aligns with GitLab's code creation tooling goals.

As a long-time GitLab power user, I've built & maintained self-hosted GitLab infrastructure managing all my production systems—from remarkbox.com to makepostsell.com to uncloseai.com. I use GitLab CI runners in every repository to drive automated builds, tests, & deployments, giving me intimate operational knowledge of GitLab's architecture, runner orchestration, & CI/CD workflows. This hands-on experience—combined with my AWS infrastructure expertise (CloudFormation, ECS, Lambda) & my work scaling critical education services during COVID-19 lockdowns at Remind—positions me to make immediate contributions to GitLab's AI-powered DevSecOps platform. I've also open-sourced complete SaaS platforms (Remarkbox, Make Post Sell), demonstrating my commitment to transparent, maintainable systems that scale—values that align perfectly with GitLab's open-core philosophy.

What excites me most about GitLab is the mission to enable everyone to contribute & co-create software. I've spent years building tools that amplify developer productivity (SlashDeploy at Remind pioneered Slack-based deployments before modern CI/CD platforms) & I'm passionate about how AI can accelerate the software development lifecycle without sacrificing code quality or security. I'm eager to bring my staff-level systems thinking, AI/ML integration experience, & deep understanding of GitLab's platform to help architect the next generation of AI-powered coding assistance. I'd love to discuss how my background building scalable APIs, optimizing performance-critical systems, & mentoring engineering teams can accelerate GitLab's AI Engineering roadmap.
