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Chime - Senior Software Engineer, Application and Language Frameworks
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:date: 2025-10-28
:slug: chime-senior-software-engineer-frameworks-cover-letter
I'm excited to apply for the Senior Software Engineer - Application and Language Frameworks position at Chime. With over 15 years building & scaling distributed systems—including extensive AWS experience with SQS, SNS, ElastiCache, RDS, & ECS—I bring deep expertise in messaging, caching, & low-latency data-sharing platforms. At Remind, I managed infrastructure supporting millions of teachers & students, implementing pub/sub patterns with SQS, optimizing Redis caching strategies, & scaling critical services during COVID-19 lockdowns using CloudFormation & infrastructure-as-code. I've also contributed to Ruby-based tooling (SlashDeploy at Remind enabled GitHub deployments via Slack commands, pioneering automation before modern CI/CD platforms existed) & have strong Python experience across Flask, Pyramid, & async job processing systems. My work spans the application-infrastructure boundary: designing CI/CD pipelines at Coursemojo, implementing Terraform-based AWS controls at Cofense, & building self-service deployment tools that empower engineering teams.
As a founder of multiple SaaS platforms (Remarkbox, Make Post Sell), I've lived the challenges of building frameworks & tooling that reduce operational overhead while maintaining reliability at scale. I've designed async job processing systems, implemented PII masking & security patterns, & built shared libraries for logging, tracing, & monitoring across distributed services. My experience with GitLab CI runners (used across all my self-hosted projects at git.unturf.com) gives me deep understanding of CI/CD automation, self-service tooling, & developer productivity improvements. I've consistently focused on making engineers more effective: at Remind, I authored technical blog posts on infrastructure migration & best practices; at Coursemojo, I built teacher dashboards with real-time activity control; everywhere, I've prioritized clear documentation & reusable patterns that scale across teams.
What excites me most about Chime is the mission to help everyone achieve financial progress through accessible technology. I've spent years building tools that democratize access—whether it's commission-free e-commerce for small sellers (Make Post Sell with hot wallet crypto payments), privacy-focused commenting for independent publishers (Remarkbox), or AI-powered education tools for public schools (Coursemojo). I'm eager to bring my experience architecting messaging platforms, optimizing AWS infrastructure, & building developer-facing frameworks to help Chime's engineering teams move faster & more reliably. Please keep me in your considerations for growing solutions at Chime!

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GitLab - Staff Backend Engineer, AI Engineering: Code Creation
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:date: 2025-10-28
:slug: gitlab-staff-backend-engineer-ai-cover-letter
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.