Software Engineer, Sr. Principal ( Java , AWS )

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.