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Software Engineer, Senior

Skills

agileaiapiawsazureci cdcloudcloud nativeconfluencecontainerizationdockerjavajavascriptjirakubernetesmcpobservabilitypostgresqlprompt engineeringpythonrestsaasspringsql

Description

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).

  • 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.
  • 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.
  • 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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