• Lead and scale a high-performing engineering organization across software, platform engineering, QA, DevOps, architecture, and enterprise systems. • Build a culture centered around engineering excellence, accountability, innovation, experimentation, and continuous improvement. • Drive organizational transformation toward AI-assisted engineering workflows and modern software delivery practices. • Establish strong leadership development, succession planning, coaching, and talent management programs. • Recruit and retain top-tier engineering talent capable of operating in fast-paced, high-scale environments. • Create high talent-density engineering teams with clear ownership, accountability, and measurable outcomes. • Lead adoption of AI-native engineering practices across the SDLC including AI-assisted coding, testing, observability, documentation, and operational automation. • Drive engineering productivity improvements through modern developer tooling, automation frameworks, platform engineering, and generative AI workflows. • Partner with Product, Data, and ML teams to operationalize AI and machine learning capabilities into customer-facing and operational platforms. • Establish governance, standards, and security practices for responsible AI adoption across engineering. • Evaluate emerging technologies, AI frameworks, and modern architectures to accelerate innovation and business impact. • Partner with the CDTO to define and execute the long-term technology vision and engineering roadmap. • Lead modernization initiatives to simplify legacy systems, reduce technical debt, improve resiliency, and increase engineering velocity. • Drive migration toward modular, service-oriented, API-first, and cloud-native architectures. • Provide technical oversight across distributed systems, cloud infrastructure, backend services, frontend applications, and embedded kiosk technologies. • Champion scalable, secure, resilient, and observable engineering patterns across all platforms. • Support international expansion and future platform scalability through strong architecture governance. • Own end-to-end engineering delivery from architecture and development through testing, deployment, monitoring, and operational support. • Establish engineering operating metrics including DORA metrics, release quality, deployment frequency, MTTR, reliability, and developer productivity. • Improve software delivery velocity while maintaining strong standards for quality, security, and resiliency. • Drive operational excellence through automation, observability, SRE practices, CI/CD, and platform standardization. • Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams.

• Design, develop, and maintain software components and products that support H&R Block business applications • Serve as the lead role for day-to-day functional tasks in the team • Collaborate closely with Quality Assurance, User Experience, and other teams • Create and execute unit tests and address defects • Mentor and coach team members • Drive technical decisions from concept through production • Own complex initiatives spanning multiple systems and teams • Advocate for automation across development, testing, deployment, and operational processes • Lead root cause analysis and resolution efforts for complex production issues

• Provides advanced software engineering and technical leadership for complex POTS enhancements, integrations, production support, modernization, and enterprise consolidation activities. • Supports the Technical Lead and mentors Software Engineers. • Design and develop complex POTS application components, APIs, integrations, workflows, and database features. • Translate business requirements and user stories into secure, maintainable technical solutions. • Lead implementation of high-priority enhancements and modernization initiatives. • Support integration with NBS, NED, nVision, ServiceNow, DMS, and vendor platforms. • Perform technical analysis, code reviews, troubleshooting, performance optimization, and root-cause analysis. • Mentor Software Engineers and promote engineering best practices. • Support automated testing, CI/CD, configuration management, and controlled releases. • Develop architectural designs, technical specifications, deployment scripts, and system documentation. • Incorporate Section 508, privacy, security, and agency standards into solution delivery. • Support production operations, incident resolution, monitoring, and SLA achievement. • Assist the Technical Lead with architecture governance, technical planning, risk identification, and knowledge transfer.

• Supports the design, development, enhancement, integration, testing, deployment, documentation, and maintenance of the customer's Purchasing Online Tracking System and associated applications, interfaces, APIs, and databases. • Analyze technical and business requirements and translate them into software solutions. • Develop, enhance, and maintain responsive web applications, services, APIs, workflows, and automation. • Implement solutions using approved tools, standards, and architectural patterns. • Support integrations with NBS, NED, nVision, ServiceNow, DMS, and approved third-party platforms. • Develop unit tests, participate in code reviews, and support automated, functional, and regression testing. • Resolve production defects, incidents, and performance issues. • Support release management, configuration management, and deployment activities. • Develop technical documentation, user guides, system documentation, training materials, and knowledge-transfer artifacts. • Incorporate security, privacy, accessibility, and Section 508 requirements throughout the SDLC. • Support incremental modernization, cloud planning, automation, architectural improvements, and technology refresh activities.