Cloud Application Developer

• Build and ship features across the full stack: frontend, API, and Azure cloud services, on a platform moving toward client deployment
• Design and implement AI-powered components: conversational interfaces, intelligent search, document processing, and workflow automation using current LLM tooling
• Integrate with third-party platforms and APIs cleanly, reliably, and with an eye toward maintainability
• Write code that a teammate can read, extend, and debug without a walkthrough
• Translate scoped requirements into working software quickly, with minimal process overhead between conversation and commit
• Own features through their full lifecycle: build, test, deploy, monitor, improve
• Help establish the development foundation: branching, deployment hygiene, environment structure, as the team scales

You are a builder. You are happiest when the problem is scoped, the tools are in front of you, and no one is in your way. You move fast, not recklessly, but with the confidence that comes from knowing what you're building and why. You ship things and then make them better.

You use AI tooling as a core part of how you work, not as a curiosity. You think in systems. You write code you'd be comfortable handing to someone else. You document what you build because you know the next person will need it.

You are comfortable on a small team where the backlog is real, priorities move, and no one is going to manage you through your day. You ask the sharp question early, so you don't waste a week building the wrong thing. You operate with ownership, not just accountability., * 2-5 years of hands-on application development with a full-stack background: TypeScript/React and Node, Python, or a comparable modern stack you can defend

• Genuine, daily fluency with AI-assisted development tooling, not something you tried once, something you rely on
• Solid experience building and consuming REST APIs and integrating with third-party systems
• Working comfort with Azure cloud services: hosting, storage, deployment
• Clean instincts around code quality, version control, and leaving things better than you found them
• The ability to operate on a small, fast team without needing significant structure around you
• A degree in CS or a related field, or work history that makes the question irrelevant

Nice to have

• Experience in an MSP, IT services, or SaaS environment
• Familiarity with RAG architectures, vector search, or LLM integration patterns
• Prior experience working on a product from early stage through client-facing deployment
• Exposure to Azure DevOps, CI/CD pipelines, or infrastructure-as-code
• Comfort with data modeling, relational databases, or lightweight BI tooling

• Competitive salary based on experience
• Company-paid health insurance
• Paid vacation and sick leave
• Certification and training reimbursement
• 401(k) plan with company match
• Early ownership on a product being built from the ground up: your fingerprints on the architecture, not just the tickets

Stringfellow Technology Group is a Nashville-based technology services company that has spent twenty years inside the IT operations of mid-market businesses. We know how these organizations run, the processes, the tooling, the gaps, and we are building software to fix what generic platforms can't. This role sits at the center of that product effort. You will be one of a small number of people building something real, with a short feedback loop between what you ship and whether it works in practice. Why this role is different We are building a custom, production-grade platform from the ground up: custom code, cloud infrastructure, AI-powered workflows, and deep integrations with the tooling our industry runs on. The product is in active development and moving toward its first client deployments. This is a small team. There is no process layer between you and the work. You will own features end to end: design, build, test, deploy, iterate, and what you ship will be visible immediately. The pace is fast and the scope is real. AI development tooling is not optional; it is how we work. If tooling like Cursor, GitHub Copilot, or Claude Code has made you dramatically more productive than your years of experience would suggest, you will fit in immediately. If you haven't made that shift yet, this is not the right environment.