Lead Software Engineer

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OtherLead Software Engineer

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Quick Summary

Overview

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,

Technical Tools

OtherLead Software Engineer

Responsibilities

~2 min read

→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.

Requirements

~1 min read

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.