Lead Software Engineer Java
Hace 3 días
castilla la mancha spain, castilla la mancha
Toshiba Global Commerce Solutions - External
Jornada completa
Gratis con email o Google
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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), engagementleadership (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 feasibilityvalidation, 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/agentworkflows across the software lifecycle—from analysis and design to testing, documentation, and code generation—whilebringing the technical leadership to drive client engagements forward. You will mentor teams, make critical technicaltrade‑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 developmentexperience, and fluency with generative and agentic AI tools to accelerate delivery while preserving code quality andarchitectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative andoperationally robust.
Key Responsibilities
Instrument and leverage AI/agentic workflows in your daily development to accelerate design, prototyping, codegeneration, 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 solutionsto validate feasibility and align stakeholders before full implementation. Translate discovery outcomes into delivery backlog items and partner with implementation teams to ensure designintent, 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 broadergovernance. 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, andplatform 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 gapsrequiring investment. Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, andcompliance 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+ years of professional software development experience with current, daily hands‑on coding and prototyping inmodern technology stacks. 5+ years building cloud‑native, microservices, or event‑driven systems, with experience in Azure or equivalentcloud 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‑releaseoperational accountability for medium‑to‑large projects. Track record of building production code, prototypes, and reference implementations to validate solutionfeasibility. 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
In this role, you will own hands‑on implementation (feature development, technical design, code reviews), engagementleadership (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 feasibilityvalidation, 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/agentworkflows across the software lifecycle—from analysis and design to testing, documentation, and code generation—whilebringing the technical leadership to drive client engagements forward. You will mentor teams, make critical technicaltrade‑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 developmentexperience, and fluency with generative and agentic AI tools to accelerate delivery while preserving code quality andarchitectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative andoperationally robust.
Key Responsibilities
Instrument and leverage AI/agentic workflows in your daily development to accelerate design, prototyping, codegeneration, 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 solutionsto validate feasibility and align stakeholders before full implementation. Translate discovery outcomes into delivery backlog items and partner with implementation teams to ensure designintent, 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 broadergovernance. 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, andplatform 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 gapsrequiring investment. Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, andcompliance 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+ years of professional software development experience with current, daily hands‑on coding and prototyping inmodern technology stacks. 5+ years building cloud‑native, microservices, or event‑driven systems, with experience in Azure or equivalentcloud 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‑releaseoperational accountability for medium‑to‑large projects. Track record of building production code, prototypes, and reference implementations to validate solutionfeasibility. 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