Lead Software Engineer

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.