Senior Lead Software Engineer – Full Stack, Retail Solutions

Jobtailor; Madrid; Presencial; EUR 85.000 - 120.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a Senior Software Engineer to lead design and implementation of scalable features across our SaaS products in Madrid. You will shape architectural decisions, mentor engineers, and collaborate with product and business leadership to drive technical strategy.

Ideal candidates have 7+ years in software engineering, experience with JavaScript/TypeScript and Python, and familiarity with distributed systems, cloud-native development on Azure, and CI/CD practices.

Formación

• 7+ years of software engineering experience.
• Experience as Senior/Lead/Staff Engineer or Software Architect.
• Degree in Computer Science, Engineering or related field (preferred).
• Certifications like Azure Solutions Architect or CKA are beneficial.
• Experience in consulting or client-facing environments is helpful.
• Building and operating modern full-stack apps with JavaScript/TypeScript and Python.
• Experience with Express.js, Vue.js, Flask and Pandas.
• Designing distributed systems and microservices.
• Cloud-native development on Azure Kubernetes-based platforms (AKS).
• Database tech: MongoDB and PostgreSQL.
• DevSecOps, IaC and CI/CD practices.
• Experience with Databricks is advantageous.

Responsabilidades

• Lead design, development and operation of new SaaS capabilities.
• Make architectural decisions balancing immediate needs with long-term scalability.
• Collaborate with product, engineering and leadership to shape roadmaps.
• Drive improvements in performance, reliability, security and developer experience.
• Champion modern engineering practices, including AI-assisted tooling.
• Drive adoption of new patterns, frameworks and platform capabilities.
• Mentor engineers and foster continuous learning and high-quality delivery.
• Work with platform, security and compliance teams to meet standards.
• Contribute directly to production code and stay involved in implementation.

Conocimientos

Senior Engineer

Lead Engineer

Staff Engineer

Software Architect

JavaScript/TypeScript

Python

Distributed systems

Cloud-native

Azure Kubernetes

AKS

CI/CD

Databases (MongoDB, PostgreSQL)

DevSecOps

GitOps

Pandas

Educación

CS/Engineering degree

Herramientas

Express.js

Vue.js

Flask

Pandas

MongoDB

PostgreSQL

Azure

Kubernetes (AKS)

ArgoCD

Helm

Dapr

GitOps

Descripción del empleo

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)