Software Engineer

Toshiba Global Commerce Solutions is seeking a hands-on Software Engineer IV to drive end-to-end solution delivery for major retail platforms. 

In this role, you will own hands-on implementation (feature development, technical design, code reviews), engagement leadership (client-facing technical lead, trade-off decisions, mentoring), and operational ownership (delivery sign-off, post-release support) of high-impact solutions, translating business requirements into working software you help build. You will drive Dual-Track Agile processes, contributing to the Discovery Track through rapid prototyping and feasibility validation, and leading the Delivery Track to ensure quality, traceability, and measurable outcomes. 

The ideal candidate is a senior software engineer who codes daily, prototypes proactively, and integrates AI/agent workflows across the software lifecycle—from analysis and design to testing, documentation, and code generation—while bringing the technical leadership to drive client engagements forward. You will mentor teams, make critical technical trade-offs, and take full accountability for delivery sign-off and post-release support. 

This role requires strong retail platform domain knowledge (POS systems, store operations), cloud-native development experience, and fluency with generative and agentic AI tools to accelerate delivery while preserving code quality and architectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative and operationally robust. 

Note: Toshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work in the United States without a need for current or future visa sponsorship. 

Must be located near or within the Cincinnati, OH area.

Key Responsibilities 

• Instrument and leverage AI/agentic workflows in your daily development to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle. 

• Apply AI-assisted development practices in your own work, model best practices for the team, and ensure ethical compliance and responsible integration of generative AI tools. 

• Own end-to-end solution delivery across Discovery and Delivery Tracks, personally building validated prototypes, contributing to formal designs, decomposing work into deliverables, and shipping accepted technical implementations. 

• Drive the Discovery Track under Dual-Track Agile by writing working prototypes and demoing solutions to validate feasibility and align stakeholders before full implementation.