Senior Full Stack Software Engineer; Python, React, SQL Server

Job Overview

Outstanding long‑term contract opportunity! A well‑known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long‑term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age.

If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• 5+ years of software development experience.
• Strong experience with Microsoft SQL Server development and database design.
• Strong proficiency in Python development.
• Experience developing modern web applications using React.
• Experience designing and consuming RESTful APIs.
• Strong understanding of software engineering principles, design patterns, and best practices.
• Experience working within Agile development environments.
• Strong analytical, problem-solving, and communication skills.
• Python
• FastAPI, Flask, or comparable frameworks
• REST API development
• Microservices architecture
• React
• Type Script/Java Script
• HTML5/CSS3
• Modern UI component libraries
• Microsoft SQL Server
• T-SQL
• Database design and modeling
• Query optimization and performance tuning
• Dev Ops & Delivery
• Git
• CI/CD pipelines
• Automated testing
• Containerization technologies

• Experience with cloud platforms such as Azure or AWS.
• Experience with CI/CD tools and Dev Ops practices.
• Experience with container technologies such as Docker and Kubernetes.
• Experience with data engineering, ETL/ELT processes, and data integration patterns.
• Familiarity with Git, Azure Dev Ops, Git Hub, or equivalent source control platforms.
• Experience implementing authentication and authorization frameworks.
• Exposure to AI/ML solutions and modern data platforms.
• Experience supporting enterprise-scale applications.

• Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
• Review and analyze complex multi‑faceted, larger scale or longer‑term Software Engineering challenges that require in‑depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi‑faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.
• Design, develop, test, and maintain full‑stack applications using Python and React.
• Build scalable and secure REST APIs, microservices, and backend services.
• Develop responsive and intuitive user interfaces using React and modern JavaScript/Type Script frameworks.
• Participate in technical design reviews and architectural discussions.
• Design and optimize Microsoft SQL Server databases, schemas, stored procedures, views, and queries.
• Analyze and improve application performance through database optimization and tuning.
• Develop and maintain data models that support business and reporting requirements.
• Ensure data integrity, security, and compliance with enterprise standards.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions.
• Participate in Agile ceremonies, sprint planning, and release activities.
• Support CI/CD pipelines and automated deployment processes.
• Contribute to solution documentation, operational readiness, and production support activities.
• Develop automated testing and monitoring capabilities.
• Troubleshoot production issues and implement sustainable solutions.
• Follow secure coding practices and software development standards.
• Continuously identify opportunities for automation and process improvement.