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Lead Software Engineer

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Toshiba Global Commerce Solutions
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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

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., Git Hub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
  • 8+ 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, Type Script, 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/No

    SQL).
  • 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., Git Hub 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.
Preferred Qualifications
  • Strong retail platform domain…
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