Senior Software Engineer

RESPONSIBILITIES

• Kforce has a client in need of a Senior Software Engineer in Philadelphia, PA.
• Design, develop, and support scalable backend services, APIs, integrations, and workflow solutions for enterprise applications
• Build business logic, service orchestration, and event-driven components to support complex business processes
• Develop and maintain integrations with internal platforms, external systems, data sources, and AI-enabled solutions
• Create and execute automated testing strategies, including unit, integration, regression, and performance testing
• Contribute to architecture standards, reusable frameworks, deployment automation, and engineering best practices
• Monitor application health, troubleshoot production issues, and drive continuous service improvements
• Partner with product, business, and technical stakeholders to translate requirements into reliable technical solutions
• Implement and support modern cloud-based development, deployment, and operational processes
• Design and maintain semantic data structures, knowledge models, and relationship mappings that improve information discovery and automation
• Develop AI-enabled capabilities, retrieval solutions, intelligent workflows, and reusable components that enhance business operations
• Participate in code reviews, technical planning, and quality assurance activities to ensure reliable software delivery
• Support continuous improvement initiatives focused on scalability, performance, security, and maintainability

REQUIREMENTS

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
• Experience developing enterprise applications using Java, Python, .NET, Node.js, TypeScript, or similar technologies
• Strong understanding of API development, microservices, distributed systems, and service-oriented architecture principles
• Experience building applications in cloud environments and working with containerization and automated deployment tools
• Knowledge of CI/CD practices, infrastructure automation, configuration management, and application monitoring
• Experience creating automated tests and implementing quality-focused development practices
• Familiarity with performance optimization, system observability, production support, and incident resolution
• Experience working with AI-driven development tools and integrating AI capabilities into business applications
• Knowledge of generative AI concepts, large language model applications, prompt design, agent workflows, or retrieval-based architectures
• Familiarity with semantic modeling, metadata management, taxonomy development, knowledge graphs, or related data organization concepts
• Experience with vector databases, search technologies, data integration, and information retrieval solutions is a plus
• Strong problem-solving, collaboration, communication, and stakeholder management skills
• Ability to work in fast-paced Agile environments and deliver high-quality solutions across multiple initiatives