As a Senior Principal Software Engineer at Infor, you will be a strategic technical leader in the design, architecture, and delivery of scalable, secure, and high-performing software solutions. You will work across product teams to drive architectural best practices, mentor senior engineers, and influence product direction with a focus on innovation, resilience, and customer value. A Typical Day in the Life Includes: • Be a technical architect and hands-on contributor for complex, enterprise-scale software systems across multiple product lines. • Define and promote architectural blueprints, patterns, and standards to improve consistency, quality, and time-to-market. • Collaborate with product management, UX, DevOps, and customer success teams to align technical direction with business priorities. • Provide technical mentorship and leadership to cross-functional engineering teams, fostering a culture of continuous improvement and excellence. • Evaluate and integrate emerging technologies to maintain Infor’s competitive edge. • Contribute to strategic planning and roadmap development in collaboration with engineering and executive leadership. • Lead architectural reviews, performance tuning, and code quality initiatives. • Ensure solutions are cloud-native, secure, scalable, and adhere to compliance standards such as SOC 2, ISO 27001, and GDPR. Basic Qualifications: • Deep expertise in Java, Spring Boot, and backend service architecture • Strong knowledge of distributed systems, microservices, and event-driven architectures • Extensive experience with AWS cloud services and cloud-native design patterns • Proficiency in Kubernetes, container orchestration, and deployment automation • Strong experience with API design (REST/gRPC) and system integration patterns • Solid understanding of data storage technologies (relational and NoSQL) and data modeling • Experience with messaging and streaming platforms (e.g., Kafka or equivalent) • Familiarity with enterprise document management and content processing systems • Knowledge of observability practices including logging, metrics, and distributed tracing • Exposure to AI/ML applications such as OCR, document classification, and semantic search • Strong problem-solving, system design, and technical decision-making skills • Ability to influence architecture and engineering direction across teams Preferred Qualifications: • Experience with Infor CloudSuite, ION, or Mongoose Framework. • Experience designing data-intensive applications using modern data architectures. • Open-source projects or published technical articles/conference talks.