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Lead Software Engineer

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Toshiba Global Commerce Solutions - External
Full Time position
Listed on 2026-05-09
Job specializations:
  • Software Development
    Software Engineer, Software Architect, Full Stack Developer, AI Engineer
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.

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 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.

We expect the ideal candidate to be 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 driving client engagements forward. Mentoring teams, making critical technical trade‑offs, and taking full accountability for delivery sign‑off and post‑release support will be key responsibilities.

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 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…
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