Hire principal / staff freelance developers in Tampa Bay

Software engineer with 8 years of experience across QA, full-stack development, and mentorship. Comfortable picking up unfamiliar technologies quickly and delivering production-ready code in whatever stack the project demands. Practices TDD religiously, takes ownership of bugs, and ships polished features (not just “done”). Mentored apprentices into client-ready software craftsmen. Actively builds side projects, contributes to open source, and invests personal time and money into professional growth.

I help Directors, Senior Managers, and Team Leaders guide their teams to deliver up to 10x more features with the Deep Dev Ascension Loop™. In middle school, I wandered into the local Radio Shack and discovered they started selling real computers a regular person can own. For some odd reason, they tolerated me coming in nearly every day and learning to program that machine in BASIC, and then assembly language. I bring practices and standards from engineering fields such as mechanical, industrial, structural, etc.; with the objective to elevate software development to a true engineering discipline. If you believe professionalism is overdue in the software industry, you are welcome to join me.

I've been in technology since 1996, starting with building and selling PCs and working my way through every layer of the stack. For the last 7+ years I've focused on DevOps, platform engineering, and infrastructure automation. Most recently I spent 4.5 years as the sole infrastructure engineer at a banking SaaS company, where I owned the full stack for 87 customers and $5M in annual revenue. The work I'm most proud of from that role: I built a Datadog observability stack from scratch where no application visibility existed before, automated customer onboarding from an 8-hour manual process down to under an hour, and led the migration from on-premises hosting to AWS that supported 117% customer growth without adding infrastructure headcount. I also held a VP of Engineering title at the prior company, so I'm comfortable leading teams as well as building systems. My core stack is AWS, Kubernetes, CloudFormation, Docker, GitHub Actions, and Datadog. I've done cloud migrations, cost optimization (50% infrastructure reduction), CI/CD pipeline design, database administration, security compliance (SOC 2, pen test remediation), and operational documentation at scale. I'm looking for senior DevOps, SRE, platform engineering, or infrastructure roles - remote or Tampa Bay hybrid. I'm drawn to teams where infrastructure ownership is real, not bureaucratic, and where the engineer closest to the problem has the authority to fix it. I bring 25+ years of doing exactly that.

I bring over a decade of professional software development experience and an obsession with world-class user experience. Most recently, I worked as a lead engineer in the fintech space where I was responsible for standing up and maintaining the entire frontend architecture from scratch. This included, among many things, a component library that was deployed alongside a number of projects within a monorepo. Previously, at Ro, I led frontend development within a cross-functional team, driving decisions around product and engineering practices. I led the development of a complicated diagnostics platform buildout where I was responsible for driving the engineering efforts across multiple teams and departments. I have a lot of experience in a number of different industries and verticals — from digital agencies and e-commerce, to developer tooling and healthcare. Not only am I technical but I can communicate effectively inside and outside of the engineering organization to get things done.

My experience across the full software lifecycle enables me to deliver products with strategic value. With over 15 years of architecting and developing scalable solutions across enterprise and startup environments, my experience is diverse, yet deep in a few stacks. I've immersed and delivered results in varying environment from building serverless AWS architectures at Prologis and Ally Financial, to microservice migrations at Accenture, to ground-up SaaS platforms. My current work at NextKourt (AI-native platform enabling Parks & Recreation departments to run unstaffed venues autonomously) involves leading product strategy, design, and engineering. Building a platform from scratch has sharpened my ability across the stack: product strategy to architecture to DevOps. My last corporate role was a Technical Lead at Prologis, leading a scrum team, and delivering a centralized documentation repository within the Prologis Customer Portal, driving 200 new user registrations. A recent passion of mine is AI development workflows, particularly in discovering areas where AI excels at augmenting developers, and areas devs need to proceed with caution. Recently built a complete Claude Code automation workflow that orchestrates the full feature development lifecycle: Jira integrated spec planning, implementation, Playwright driven UAT, PR generation, code review, and issue transitions. It's cut my development cycles by roughly 40%, and changed the way I ship software. Where I'm most at home is with taking complex business problems and turning them into clean, scalable, and value-driven systems. My sweet spot is in architecting distributed systems, and robust APIs and services. Technology stacks: NodeJS/TS, .NET/C#, Laravel/PHP. I'm looking for part-time or fractional opportunities (10 - 20 hours per week) to apply my leadership and engineering. If you need someone who can own tracks end-to-end, from stakeholder alignment to engineering to delivery, let's talk.

REMOTE ONLY, can be available for Tampa on sites if the opportunity is right. I might consider St Pete area in person hybrid. Started before the turn of the century on Microsoft C, BASIC, Assembly code across OS/2, Windows, NCR proprietary systems and worked up through C++, C#, and Java. After plateauing a bit, I shifted to Ruby on Rails and codeveloped a SaaS serving 40+ US states with billions of transactions per state and eventually became manager of the the software developers in the ecosystem. 30 years of paid experience working as a developer of C, C#, C++, Java, Ruby on Rails, Go Co-developer of a suite of SaaS products that have earned over $1 Billion in revenue over 14 years. Legacy lead developer of codebases of over one million lines of code in C and Ruby. Ability to come up to speed on esoteric platforms such as AIX, Solaris, etc., and solve edge cases unique to them. I love stupidly obscure and difficult problems. I love legacy code and getting to exclaim "yitaf would someone do this?" while also respecting that the organic nature of how the code got there is likely lost to time and turnover. These days I use cloud and local LLMs not only to "vibe code" a head start on a solution, but to build troubleshooting and tracking tools and to more quickly iterate on theories about why something might be breaking.

I have over 10+ years of Software Engineering experience and 5+ years of DevOps/SRE experience. I have help build and maintain large enterprise cloud native deployments of Kubernetes with full observability. I have helped build CI/CD pipelines. I have engineered web APIs and local tooling,

Better hypotheses are found by steadily identifying and eliminating those that lead to contradictions, We cannot live better than in seeking to become better.

I’m an AI and full-stack engineer with over a decade of experience building production-grade systems that operate at scale. My path into software started with distributed systems and backend engineering, and over time evolved into designing and deploying machine learning and LLM-powered products that move from research to real-world impact. I’m most energized when bridging the gap between experimentation and reliable production systems. Recently, I’ve focused on agentic AI systems—designing workflows that combine LLMs, retrieval, evaluation, and human-in-the-loop controls to solve real product problems. I’ve led the development of scalable inference services, optimized data pipelines for unstructured data, and improved model performance through rigorous experimentation and observability. Across roles, I’ve consistently worked in fast-moving environments where clarity, ownership, and engineering judgment matter more than shiny tools . What sets me apart is my ability to operate across the entire stack: from model selection and prompt design to backend services, cloud infrastructure, and user-facing integrations. I care deeply about building systems that are not only intelligent, but also reliable, maintainable, and aligned with business outcomes. I’m passionate about mentorship, thoughtful system design, and avoiding unnecessary complexity—choosing the simplest solution that actually works at scale. If you’re looking for someone who can turn ambiguous AI ideas into durable, production-ready systems, I thrive in that space.

Senior Software Engineer with over 18 years of experience building distributed, scalable, high-performance systems across the financial industry, ecommerce, and SaaS companies. Specializing in backend engineering with Java and Go, also bringing full-stack experience with AngularJS. Experience in designing and optimizing cloud-native applications in AWS and Google Cloud, leveraging event-driven architectures to deliver resilient, low-latency, and cost-efficient solutions that scale to meet demanding workloads.