Senior Python Full Stack Developer – Risk… at Axiom Path · Charlotte

Be Part Of A High-Performing Team Join the technology division of a global financial services organization supporting sophisticated banking operations, enterprise risk management, and critical business applications. The team focuses on developing scalable, reliable technology solutions that strengthen data processing, application performance, and risk-related decision-making. This opportunity is ideal for an experienced software engineer who enjoys building applications from the ground up, solving complex technical challenges, and contributing to modern cloud-based platforms. The position emphasizes hands-on engineering, thoughtful system design, and collaboration across technology and business functions. What's In Store For You Hybrid work arrangement based in Charlotte, North Carolina. Engagement: W2 only (no C2C/1099). Long-term contract opportunity supporting enterprise financial technology initiatives. Opportunity to develop scalable Python applications and work with modern Azure cloud technologies. Exposure to complex data engineering, analytics, and risk management applications. Opportunity to contribute to architectural decisions and end-to-end application development. How You Will Make An Impact Design, develop, and enhance highly scalable applications using Core Python, emphasizing performance, reliability, and maintainability. Build backend services and application functionality using Python frameworks such as FastAPI, Flask, or Django. Develop complex SQL queries, data processing routines, and database integrations to support business applications and analytical workloads. Contribute to full stack application development by integrating Python-based services with JavaScript and React frontend components. Design application architectures, evaluate technical alternatives, and articulate system design decisions to engineering stakeholders. Develop and integrate REST APIs to support communication between applications, databases, and enterprise systems. Work with Azure cloud services to develop, deploy, integrate, and maintain application components. Support data processing and engineering initiatives involving Azure Databricks, PySpark, Delta Lake, and related technologies. Collaborate with cross-functional teams to translate business requirements into robust, scalable technical solutions. Apply software engineering best practices, including version control, code quality, troubleshooting, and continuous improvement. Requirements Are You An Experienced Python Full Stack Developer Ready To Make An Impact? 8+ years of professional software development experience, preferably 10+ years in enterprise application environments. Advanced Core Python expertise, including substantial hands-on experience designing and developing applications from the ground up. Strong SQL proficiency, including complex queries, data manipulation, analytics, and database-driven application development. Hands-on experience with at least one major Python web framework: FastAPI, Flask, or Django. Demonstrated system design capabilities, including application architecture, scalability considerations, and technical decision-making. Experience developing backend services, REST APIs, and integrations with relational databases. Working knowledge of JavaScript and frontend technologies, preferably React. Experience with relational databases such as SQL Server, Oracle, or PostgreSQL. Familiarity with Microsoft Azure and cloud application services, including Azure Functions, App Service, or container-based environments. Experience with Git, GitHub, or Azure DevOps for source control and development collaboration. Exposure to Azure Databricks, PySpark, Apache Spark, notebooks, Delta Lake, or data orchestration tools is highly desirable. Familiarity with Azure Data Factory, Azure Synapse Analytics, or Azure Data Lake Storage is advantageous. Experience supporting financial services applications, particularly risk management systems, is highly desirable. Strong analytical thinking, problem-solving, and communication skills, with the ability to explain complex technical concepts and architectural decisions. A hands-on engineering mindset, with recent experience personally developing production applications rather than focusing primarily on oversight, maintenance, or support.