Senior Software Engineer

Kforce Inc is seeking a Senior Software Engineer with strong generalist development skills who thrives in small teams. This role focuses primarily on backend development while also contributing across the stack, requiring proficiency in .NET/C#, Python, SQL, and React.

Responsibilities:

• Own backend services and APIs in .NET/C# and Python; design for scale, performance, and reliability
• Model, query, and tune relational databases (SQL Server/PostgreSQL/MySQL) for application and analytics use cases
• Contribute to the React front end using best practices (component architecture, state management, testing)
• Integrate and embed Power BI visualizations into the client portal and front end experience (versus custom React charts where appropriate)
• Learn and apply Databricks/Spark patterns for data pipelines, ETL/ELT, and analytics-training/support available
• Write clean, well tested code; participate in code reviews, pair programming, and documentation
• Operate across the stack as a true generalist (primarily backend today), jumping into -whatever comes up- in a small-team environment
• Collaborate cross functionally with product, data, and business stakeholders; help translate requirements into robust technical solutions
• Contribute to DevOps/CI/CD workflows, observability, and incremental delivery
• Champion security and compliance practices appropriate for production systems

Requirements:

• 7+ years of professional software engineering experience; breadth over narrow specialization
• Proven ability to learn new languages/tools quickly and work across unfamiliar parts of a codebase
• Strong hands on experience with backend development in .NET/C# and Python
• Proficiency with SQL (schema design, complex queries, performance tuning)
• React experience with best practices (modern hooks, testing, accessibility, performance)
• Experience embedding or integrating Power BI in web applications (exposure is sufficient)
• Comfort working in small, agile teams and switching contexts as priorities evolve
• Strong fundamentals: design patterns, testing, code readability, and maintainability
• Exposure to Databricks (or strong interest and aptitude to learn); Spark experience a plus
• Cloud experience (Azure/AWS), containers, and infrastructure as code
• Experience with ETL/ELT, data pipelines, and analytics portals
• Secure coding practices, performance profiling, and troubleshooting in production
• Familiarity with Power BI embedding (App Owns Data, service principals) and analytics governance