Lead Software Engineer

Toshiba Global Commerce Solutions; Región Centro; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Toshiba Global Commerce Solutions seeks a hands‑on Lead Software Engineer to drive end‑to‑end delivery for major retail platforms. You will own feature development, technical design, code reviews, and post‑release support, while leading Dual‑Track Agile in Discovery and Delivery.

The role emphasizes AI/agent workflows, cloud‑native architecture, and strong client engagement across platforms. You will mentor teams, make critical trade‑offs, and take accountability for delivery sign‑off.

Formación

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 8–10 years of professional software development with daily hands‑on coding and prototyping.
• 5+ years building cloud‑native, microservices, or event‑driven systems on Azure or equivalent.
• Strong proficiency in Java/Spring Boot, TypeScript, and React/Vue.
• Proven experience owning end‑to‑end solution delivery with design, implementation, and post‑release accountability.
• Track record of building production code, prototypes, and reference implementations.
• Experience with REST/OpenAPI, messaging platforms, and SQL/NoSQL databases.
• Hands‑on with CI/CD, Docker, Kubernetes, deployment tooling, testing, and AI/agentic workflows.
• Practical experience with generative AI tools and measurable delivery impact.
• Excellent stakeholder communication and cross‑team collaboration.
• Proven leadership in mentoring engineers and code reviews.

Responsabilidades

• Lead end‑to‑end solution delivery across Discovery and Delivery Tracks, building prototypes and shipping implementations.
• Drive the Discovery Track with working prototypes and feasibility validation.
• Own design intent, code quality, and non‑functional requirements across platforms.
• Facilitate client workshops, present solutions, and influence technical decisions.
• Mentor engineers through pair programming, code reviews, and example‑driven leadership.
• Implement critical features with a focus on quality and maintainability.
• Enforce engineering standards, reusable integration patterns, and security controls.
• Develop ADRs, interface contracts, data models, and migration plans.
• Lead risk analysis for backward compatibility and data integrity.
• Contribute to platform strategy, API‑first designs, and asset reuse.
• Ensure delivery sign‑off and post‑release support accountability.
• Collaborate with architects on governance and platform roadmaps.

Conocimientos

Hands-on coding

AI-assisted development

Cloud-native

Java/Spring Boot

TypeScript

React/Vue

CI/CD

Docker/Kubernetes

OpenAPI/REST

Stakeholder leadership

Educación

BS in CS/Engineering

Herramientas

Azure

GitHub Copilot

Cursor

Claude Code

Docker

Kubernetes

Descripción del empleo

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.