Senior Lead Software Engineer – Full Stack, Retail Solutions

Responsibilities

Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.

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• 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

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• 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, xghoner 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)
  

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