We are looking for a Senior Software Engineer to join our Decisioning team. You will design and implement cloud‑native applications on our platform using Node.js, Koa.js, React, TypeScript, and modern build/test tooling. The role also involves developing intelligent, agentic‑AI‑driven capabilities using Python and MCP‑based architectures
Responsibilities
- Develop and maintain cloud applications using Node.js, Koa.js, React, TypeScript, and modern frontend frameworks.
- Implement high‑quality, scalable backend services and responsive frontend components.
- Design, develop, and maintain Agentic AI modules using Python and MCP, integrating them with existing services.
- Build reusable UI components and modern interfaces using CSS, PrimeReact, Vite, and accessibility‑focused principles.
- Write clean, maintainable, and well‑tested code across the full stack.
- Maintain and improve automated test suites using unit, integration, and end‑to‑end frameworks (e.g., Vitest, Cypress, Playwright).
- Debug production issues, perform root‑cause analysis, and deliver fixes promptly.
- Enforce coding standards through thoughtful peer reviews.
- Contribute to architectural discussions, technical design, and estimation activities.
- Collaborate with cross‑functional teams: QA, DevOps, Product Management, and UX.
- Drive improvements to frontend performance, accessibility, CI/CD pipelines, and build systems.
- Mentor other developers and help elevate the team’s engineering culture and best practices.
- Identify opportunities for innovation, automation, and engineering efficiency.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering or equivalent practical experience.
- 6+ years of professional software development experience.
- 2+ years of hands‑on React experience in production environments.
- Strong proficiency in JavaScript, TypeScript, Node.js, and Koa.js.
- Expert knowledge of HTML5, CSS3, modern FE architecture, and state management patterns.
- Experience with REST/HTTP (and optionally GraphQL), authentication flows, error handling, and performance optimization.
- Strong understanding of automated testing: Vitest, unit tests, mock patterns, e2e tools such as Playwright/Cypress.
- Experience with Git, Bitbucket, code review workflows, and CI/CD pipelines.
- Hands‑on programming experience building Agentic AI workflows.
- Strong skills with Python for AI agent development, orchestration, or tooling.
- Experience building or integrating Model Context Protocol (MCP) agents or similar agent‑framework architectures.
- Ability to design autonomous or semi‑autonomous agent behaviors, reasoning loops, and action pipelines.
- Understanding of prompt engineering, tool‑use patterns, context management, and LLM‑driven automation.
- Comfortable in Agile/Scrum environments, collaborating across multiple teams.
- Ability to mentor junior/mid‑level engineers and contribute to technical decision‑making.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
