A bachelor's degree in Computer Science, Engineering, or equivalent experience.
Experience applying and utilizing AI-assisted tools and workflows, such as GitHub Copilot, Cursor, or Claude Code, for design, coding, test generation, and documentation.
Eight to ten years of professional software development experience, with current daily hands-on coding and prototyping in modern technology stacks.
At least five years building cloud-native, microservices, or event-driven systems, with experience in Azure or equivalent cloud platforms.
Strong proficiency in technology stacks such as Java/Spring Boot and TypeScript with React or Vue.
Experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
A track record of building production code, prototypes, and reference implementations to validate solution feasibility.
Experience with REST/OpenAPI, messaging platforms, and relational and non-relational databases (SQL/NoSQL).
Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle.
Practical experience with generative AI and AI-assisted development tools, such as GitHub Copilot, Claude Code, or Cursor, with measurable impact on delivery.
Ability to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
Leadership experience mentoring engineers, conducting thorough code reviews, and championing engineering best practices across teams.
Responsibilities
Instrument and use AI/agentic workflows in 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 personal 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 by 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 demonstrating solutions to validate feasibility and align stakeholders before full implementation.
Translate discovery outcomes into delivery backlog items and partner with implementation teams to preserve design intent, code quality standards, and non-functional requirements throughout delivery.
Contribute to technical design across products and integrations by producing ADRs, interface contracts, data models, sequencing diagrams, migration and rollback plans, and traceability matrices, while partnering with architects on broader governance.
Serve as the primary technical lead in client engagements by facilitating workshops, presenting technical solutions, making trade-off decisions, driving approvals, and acting as a subject-matter expert for assigned platform areas.
Personally implement critical components and complex features in modern retail platform stacks, set the code-quality standard through personal work, and review and approve implementation-team deliverables.
Apply and reinforce engineering standards, reusable integration patterns, and non-functional requirements for security, scalability, and observability across client solutions.
Mentor and upskill engineers on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices through pair programming, code reviews, and example-driven leadership.
Contribute to platform and product strategy by identifying reusable assets, API-first designs, and technical gaps requiring investment.
Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, and compliance constraints.
Toshiba Global Commerce Solutions is seeking a hands-on Lead Software Engineer 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.
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.
Translate discovery outcomes into delivery backlog items and partner with implementation teams to ensure design intent, code quality standards, and non-functional requirements are preserved throughout delivery.
Contribute to technical design across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices, partnering with architects on broader governance.
Serve as the primary technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas.
Personally implement critical components and complex features in modern retail platform stacks, set the bar for code quality through your own work, and review and approve deliverables from implementation teams.
Apply and reinforce engineering standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions.
Mentor and upskill engineers on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices, primarily through pair programming, code reviews, and example-driven leadership.
Contribute to platform and product strategy, identifying reusable assets, API-first designs, and technical gaps requiring investment.
Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, and compliance constraints.
Must-Have Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
8 to 10 years of professional software development experience with current, daily hands-on coding and prototyping in modern technology stacks.
5+ years building cloud-native, microservices, or event-driven systems, with experience in Azure or equivalent cloud platforms.
Strong proficiency in technology stacks such as Java/Spring Boot, TypeScript, React/Vue.
Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
Track record of building production code, prototypes, and reference implementations to validate solution feasibility.
Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL).
Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle.
Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery.
Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
Proven leadership in mentoring engineers, conducting thorough code reviews, and championing engineering best practices across teams.