Infor is looking for an experienced Team Lead to lead the development of Agentic Hub, an innovative AI-focused platform designed to accelerate how users engage with AI agents, automations, and intelligent experiences. The ideal candidate will bring strong technical leadership with hands-on expertise across both frontend and backend technologies and the ability to guide engineering teams in delivering scalable, high-quality solutions. A Typical Day in the Life Includes: • Lead and mentor a team of software engineers across frontend and backend development. • Drive technical design, architecture decisions, and development best practices. • Provide hands-on development support using Angular, TypeScript, Java, and Spring Boot. • Collaborate with Product, UX, GenAI, and Platform Engineering teams to align technical execution with business goals. • Define and implement scalable cloud-native solutions using AWS services. • Establish and maintain CI/CD pipelines and DevOps best practices. • Ensure high engineering quality through code reviews, technical guidance, and design standards. • Drive adoption of reusable frameworks, shared components, and platform capabilities. • Support recruitment, onboarding, and development of engineering talent. • Foster collaboration across globally distributed teams. Basic Qualifications: • Bachelor's degree in Computer Science, Engineering, or related discipline. • 8+ years of software engineering experience. • 2+ years of technical leadership or team management experience. • Strong expertise in Angular, TypeScript, Java, and Spring Boot. • Proven experience designing and developing enterprise-grade applications. • Hands-on experience with AWS cloud technologies. • Experience implementing CI/CD and DevOps practices. • Hands-on experience using an AI coding tool in daily development work (e.g., Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool). • Baseline AI literacy: understands how AI works and where it can go wrong, recognizes where it's useful, can direct it effectively, evaluates its outputs before relying on them, and uses it responsibly. • Strong communication and stakeholder management skills. • Demonstrated ability to lead technical design and architecture discussions. Preferred Qualifications: • Experience developing AI-powered applications or GenAI-enabled solutions, including familiarity with agent frameworks (e.g., Spring AI, LangChain4j) and Model Context Protocol (MCP). • Strong understanding of adaptive UX and modern user experience design principles. • Experience building reusable platforms, frameworks, and SDKs. • Exposure to automation platforms and platform engineering practices. • Experience working with globally distributed engineering teams. • Passion for emerging AI technologies and innovation. • Awareness of responsible-AI concerns such as explainability, auditability, and guardrails