Expert Software Engineer - HR Service Delivery

Expert Software EngineerThe Expert Software Engineer is responsible for providing development, enhancement, operational support, optimization, and long-term sustainment of Jefferson's AI-powered Human Resources Service Delivery platform, built on Microsoft Dynamics 365, Microsoft Copilot, Copilot Studio, Power Platform, Workday integrations, SharePoint knowledge services, and associated Microsoft cloud technologies. This role directly supports Jefferson's Next Generation HR Transformation strategy and the organization's AI-first vision for employee support services. Expert Software Engineer will serve as the primary technical resource responsible for supporting and expanding this strategic platform — working across application development, AI enablement, integrations, support operations, platform optimization, automation, incident resolution, technical debt management, release management, and ongoing innovation of the HR Service Delivery ecosystem.Summary The Expert Software Engineer is a highly skilled technical contributor responsible for designing, developing, and delivering advanced, scalable, and secure software solutions. This role leverages deep expertise in software engineering to solve complex problems, optimize system performance, and ensure the highest standards of code quality. The Expert Software Engineer collaborates with engineering teams and stakeholders, mentors peers, and drives innovation through continuous learning and application of best practices.Job DutiesSupport AI-Enabled Employee Experiences: Maintain and enhance Microsoft Copilot, conversational agent, and self-service capabilities supporting Jefferson employees, HR Operations, and Contact Center teamsManage Dynamics 365 HR Service Delivery Enhancements: Develop and support case management workflows, routing logic, automation, business rules, reporting, security configurations, and employee service experiencesSupport Enterprise Integrations: Maintain integrations with Workday, SharePoint, Microsoft Teams, Microsoft Copilot, Genesys telephony, Power Platform, and future enterprise HR technologiesDrive AI Innovation and Optimization: Continuously improve AI-powered employee interactions, knowledge discovery, automation, case management efficiency, and self-service experiencesOwn Platform Stability and Lifecycle Management: Provide long-term ownership of application enhancements, support, performance optimization, defect remediation, scalability, and modernizationEnsure Operational Excellence: Keep the solution secure, compliant, reliable, supportable, and aligned with Jefferson's enterprise technology standardsDesign scalable and secure software solutions; troubleshoot and resolve complex technical problems through root-cause analysisContribute to cloud-native engineering practices, CI/CD enablement, and automation across the platform.Minimum QualificationsBachelor's Degree in Computer Science, Engineering, or related field orHigh School Diploma/GED and 10 years preferred work experience.7 years in software development, including experience with distributed systems and cloud platforms.Expert proficiency in programming languages and API development (Java, C#, Python, JavaScript/TypeScript; REST/gRPC) with strong understanding of architectural patterns and system design.Experience with cloud platforms (AWS, Azure, GCP), Infrastructure as Code (Terraform, CloudFormation), and container orchestration (Docker, Kubernetes).Expertise in databases (SQL and NoSQL) and advanced data management practices.Deep knowledge of security principles, authentication, authorization, and compliance best practices.Hands-on experience with DevOps tools and practices, including CI/CD pipelines, automated testing, monitoring, and logging (ELK Stack, Prometheus, Splunk).Strong collaboration, communication, advanced analytical problem-solving skills, and ability to mentor and support engineering teams.Preferred QualificationsMaster's Degree in Computer Science, Engineering, or related field10 years with a track record of solving complex technical challenges and mentoring engineers.