Software Engineer (4) - Premium Engineer 3

Position Description

Position Overview We are seeking an experienced full-stack software developer to build and support products that make Supply Chain Analytics algorithms accessible to business users. The ideal candidate has strong software engineering fundamentals, experience across the application stack, and some experience integrating AI capabilities into software products. A deeper specialty in either front-end or back-end development is welcome. This individual will work with product teams and business stakeholders to translate needs into reliable, user-friendly solutions. They should be comfortable taking initiative, navigating ambiguity, communicating with Client leadership, and helping teams adopt effective engineering practices. Responsibilities Design, develop, test, deploy, and maintain web applications and tools that support Supply Chain Analytics. Build and integrate front-end interfaces, back-end services, APIs, and analytics algorithms. Collaborate with data scientists, AI engineers, product managers, and business stakeholders to turn analytics and AI capabilities into usable products. Contribute to the integration and evaluation of AI-enabled features, with attention to reliability, data protection, and responsible use. Deliver work from a prioritized backlog using Agile practices and Rally. Apply software engineering practices such as pair programming, code review, automated testing, test-driven development, and continuous integration and delivery. Promote clean, maintainable code and contribute to technical design and architecture discussions. Mentor team members and help product-driven organization (PDO) teams adopt effective engineering and Agile practices. Communicate progress, risks, technical decisions, and business value clearly to technical audiences and Client leadership. Take ownership of problems, proactively identify opportunities, and move work forward through collaboration and sound judgment. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience and Technical Skills 7+ years of software engineering experience, including Java and Spring Boot development. 3+ years of experience developing applications with Angular. Full-stack development experience, including web front-end and back-end services. Experience developing and testing production software, including automated unit, integration, and end-to-end tests. Experience working in an Agile environment and using Rally to manage work. Experience with continuous integration and delivery tools and pipelines, such as Jenkins and Gradle. Familiarity with deploying applications to cloud platforms, preferably Google Cloud Platform or AWS. Experience working with AI-enabled applications or integrating AI capabilities into software products. Professional Skills Strong written and verbal communication skills, including the ability to communicate with leadership and nontechnical stakeholders. Ability to work independently, take initiative, and make progress in ambiguous situations. Commitment to clean code, continuous learning, collaboration, and solving business problems. Preferred Qualifications Experience with Python and integrating analytics models or services into applications. Experience with generative AI or large language model integrations, including evaluating outputs and addressing reliability and security concerns. Experience developing products for supply chain, logistics, operations, or analytics. Experience mentoring developers or coaching teams on Agile and modern engineering practices. Master's degree in Computer Science, Software Engineering, or a related field. Work Arrangement Hybrid—not remote. All candidates must be able to work onsite at least four days per week.

Skills Required

GCP Cloud Run, GCP, Angular, React, Java

Experience Required

Engineer 3 Exp

Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development

Education Required

Bachelor's Degree

Education Preferred

Master's Degree

Additional Information

Work Arrangement Hybrid—not remote. All candidates must be able to work onsite at least four days per week.