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Software Engineer, Senior

$110k-$150k/year Dallas, United States Full-time
Full Stack Java DeveloperNode.js DeveloperApplication ArchitectTechnical ArchitectProduct EngineerPrompt EngineerJava DeveloperTypescript DeveloperFull Stack Node.js Developer

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We are seeking a Senior Software Engineer to design, develop, and deliver high-quality software solutions across our cloud product portfolio. As a critical member of our agile engineering team, you will drive technical excellence, mentor junior engineers, and contribute to the evolution of Infor’s Warehouse Management System (WMS).

A Typical Day in the Life Includes:

  • Lead the design, development, and deployment of scalable and secure applications. 
  • Collaborate cross-functionally with Product Management, UX Design, and QA to deliver business-critical features. 
  • Write clean, efficient, and maintainable code following industry best practices. 
  • Participate in code reviews, architecture discussions, and technical roadmap planning. 
  • Drive continuous improvement initiatives around software performance, reliability, and scalability. 
  • Mentor and guide junior developers through knowledge sharing and code collaboration. 
  • Stay current on emerging technologies and evaluate their potential adoption. 
  • Champion Infor’s values of speed, innovation, and collaboration. 

Basic Qualifications:

  • Experience in software development within SaaS or enterprise applications. 
  • Experience in programming languages relevant to the product stack: Java and JavaScript/TypeScript. 
  • Experience in Spring Boot and / or WildFly.
  • Experience in RDMS: PostgreSQL and/or MS SQL.
  • Experience of cloud-native development (AWS, Azure, or similar platforms). 
  • Experience with architecture and RESTful APIs.
  • Experience with Agile methodologies and CI/CD practices. 
  • Experience in Agent Orchestration, MCP Integration, Prompt Engineering, Vector databases / RAG, Frontier Model Fluency, Safety / Guardrails and Eval Design. 

Preferred Qualifications:

  • Experience of enterprise security and performance tuning techniques. 
  • Experience with containerization technologies (Docker, Kubernetes). 
  • Experience mentoring, coaching, and developing engineering talent.
  • Experience in programming languages relevant to the product stack: Python.
  • Experience with tools such as Excel and project management platforms (e.g., Jira, Confluence).
  • Experience with Warehouse Management System (WMS) applications.
  • Experience in AI Cost Optimization and Production Observability.

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