Senior Lead Software Engineer – Full Stack, Retail Solutions
Summary
Lead the architecture and development of scalable SaaS retail solutions using full-stack JavaScript/TypeScript and Python, cloud-native Azure Kubernetes, and modern DevOps practices.
Responsibilities
- 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, 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)