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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Lead Software Engineer - Full Stack, Retail Solutions - **Company:** Jobtailor - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Microsoft Azure, Mobile Application Development, Software as a Service, Cloud Computing, Databases, Continuous Integration, Data Warehousing, DevOps, Programming Tools, Distributed Systems, Python (Programming Language), PostgreSQL, MongoDB, Software Engineering, TypeScript, GitHub Copilot, Flask (Web Framework), Express.js, Vue.js, Pandas, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Production Code, Data Management, Devsecops, Databricks, Microservices - **Published:** July 31, 2026 - **Apply:** https://www.buscojobs.com.es/senior-lead-software-engineer-full-stack-retail-solutions-en-madrid-ID-364313370 ## About the Role Contribute directly to production code and remain deeply involved in technical implementation.Requirements- 7+ years of software engineering experience- Experience as a Senior Engineer, Lead Engineer, Staff Engineer or Software Architect- A degree in Computer Science, Engineering, Data Science or a related field (preferred but not essential)- Certifications such as Azure Solutions Architect or CKA (beneficial but not required)- Experience working in consulting or client?facing environments (helpful but not essential)- Building and operating modern full?stack applications using technologies such as JavaScript/TypeScript and Python- Frameworks such as Express.js, xkdbapo Vue.js, Flask and Pandas- Designing distributed systems, service?oriented architectures and microservices- Cloud?native development, ideally on Azure Kubernetes?based platforms and deployment practices AKS and supporting technologies such as ArgoCD, Helm, Dapr and GitOps workflows- Database technologies including MongoDB and PostgreSQL- DevSecOps, Infrastructure as Code and CI/CD practices- Large?scale data platforms, data warehouses or lakehouses (Databricks experience is advantageous)#J-*****-Ljbffr ## Description ResponsibilitiesDesplácese hacia abajo para encontrar una descripción detallada de este trabajo y lo que se espera de los candidatos.Envíe su solicitud haciendo clic en el botón "Solicitar".- Lead the design, development and operation of new capabilities across our SaaS products.- Make architectural decisions that balance immediate business needs with long?term scalability and maintainability.- Work closely with product, engineering and business leadership to shape product roadmaps and technical strategy.- Identify and drive improvements across performance, reliability, scalability, security and developer experience.- Champion modern engineering practices, including AI?assisted development tools such as GitHub Copilot.- Lead the adoption of new patterns, frameworks and platform capabilities across teams.- Mentor engineers and foster a culture of continuous learning, operational excellence and high?quality delivery.- Partner with platform, security and compliance teams to ensure our products meet organisational and regulatory standards.- Contribute directly to production code and remain deeply involved in technical implementation.Requirements- 7+ years of software engineering experience- Experience as a Senior Engineer, Lead Engineer, Staff Engineer or Software Architect- A degree in Computer Science, Engineering, Data Science or a related field (preferred but not essential)- Certifications such as Azure Solutions Architect or CKA (beneficial but not required)- Experience working in consulting or client?facing environments (helpful but not essential)- Building and operating modern full?stack applications using technologies such as JavaScript/TypeScript and Python- Frameworks such as Express.js, xkdbapo Vue.js, Flask and Pandas- Designing distributed systems, service?oriented architectures and microservices- Cloud?native development, ideally on Azure Kubernetes?based platforms and deployment practices AKS and supporting technologies such as ArgoCD, Helm, Dapr and GitOps workflows- Database technologies including MongoDB and PostgreSQL- DevSecOps, Infrastructure as Code and CI/CD practices- Large?scale data platforms, data warehouses or lakehouses (Databricks experience is advantageous)#J-*****-Ljbffr ## Related Videos - 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