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Join our team to build interactive dashboard applications for a multi-tenant analytics platform serving enterprise clients in the Financial Services sector. You’ll work with modern technologies, AI-powered coding assistants, and cloud-native architecture to deliver secure, high-performance solutions.
Tech Stack:
- Frontend: React.js, Blazor, TypeScript, data visualization libraries (D3.js, Chart.js).
- Backend: .NET Core, C#, ASP.NET, Go (Golang), Node.js.
- Database: Microsoft SQL Server, PostgreSQL, Cosmos DB.
- Cloud & Services: Microsoft Azure, Docker, Kubernetes, GitHub Actions, Azure DevOps.
Key Responsibilities:
- Build, test, and deploy features end-to-end across the stack.
- Develop responsive, data-driven dashboards with React.js, TypeScript, and visualization libraries.
- Design, build, and optimize APIs (Go, .NET, Node.js), ensuring secure authentication and multi-tenant architecture.
- Lead backend API integrations with fintech products and banking platforms.
- Collaborate with design and product teams to deliver intuitive, performant user interfaces.
- Write clean, scalable, and maintainable code while helping shape architecture decisions.
- Implement and manage CI/CD pipelines, cloud deployments, and containerized solutions.
- Contribute to a fast, agile, and engineering-driven culture.
- Required travel to our headquarters (Nashville, TN) once per quarter for team meetings.
What We're Looking For:
- 9+ years of hands-on software development experience.
- Strong expertise in .NET, React.js, Node.js, TypeScript, GraphQL, and SQL/PostgreSQL.
- 3+ years working with Golang or Java for API development.
- Solid experience with Azure cloud, Docker, Kubernetes, and CI/CD.
- Proven ability to deliver high-quality code in fast-paced environments.
- Familiarity with RESTful APIs, authentication, authorization, and security best practices.
- Experience with AI coding agents (Claude Code, Cursor, Windsurf, etc.).
- Self-starter mindset with strong ownership, communication, and collaboration skills in remote settings.
Bonus points:
- Background in startups or fast-moving teams.
- Experience working on financial products and SaaS multi-tenant platforms.
- Knowledge of Python for ML model integration.
Key Skills
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