Software Engineer Team Lead - Development

We are looking for a Software Engineering Team Lead to join our Data and AI Engineering team.This is a player-coach role: you will guide a team of full-stack and backend engineers while staying hands-on with Python backends and frontend applications.You will work on high-impact client engagements in life sciences and healthcare, building software that connects our data platforms to real-world use cases.Lead and mentor a team of full-stack and backend engineers, supporting their growth through regular 1:1s, performance reviews, and personal development plans.Collaborate with data engineers, AI engineers, and other disciplines to align on architecture and delivery.Define and uphold engineering standards, design patterns, and code quality practices across the team.Lead architecture reviews and provide hands-on guidance on backend and frontend system design.Build and maintain production-grade Python backend services and contribute to frontend applications in React/TypeScript.Own features end-to-end: from requirements through implementation, testing, deployment, and monitoring in production.Champion engineering best practices: clean code, SOLID principles, testing (unit, integration, e2e), CI/CD, and documentation.Proven track record of end-to-end ownership of enterprise software systems, from architecture to production.Seniority is measured by impact on team performance and solution quality, not years of tenure.Experience leading engineers, including performance reviews, goal-setting, and personal development follow-up.Background in the life sciences industry (e.g. clinical trials, regulatory, pharmacovigilance, R&D, or commercial operations) with understanding of its data complexity and compliance requirements.Strong proficiency in Python for backend development (FastAPI, Flask, or equivalent) and experience building APIs and services for production.Frontend experience with React and TypeScript, building web applications that consume backend APIs.Cloud engineering experience across major platforms, with preference for Azure, including deployment, monitoring, and infrastructure as code.Experience operating software at scale in production, with ownership of observability, alerting, and reliability.Experience integrating AI and machine learning capabilities at the application layer, such as surfacing model outputs through UIs or connecting services to ML platforms.Familiarity with data engineering tooling (e.g. Databricks, PySpark) to collaborate effectively with the data engineering team.Knowledge of Docker/Kubernetes, OpenAPI, and OAuth2/JWT.Experience facilitating Agile ceremonies as a tech lead or engineering manager.English: Spanish and/or Catalan language skills are a plus.Hybrid work model and flexible working schedule that would suit night owls and early birds.~Different training programs to support your personal and professional development.~ Friendly atmosphere and supportive Management team.

Proven track record of end-to-end ownership of enterprise software systems, from architecture to production. Seniority is measured by impact on team performance and solution quality, not years of tenure. Experience leading engineers, including performance reviews, goal-setting, and personal development follow-up. Background in the life sciences industry (e.g. clinical trials, regulatory, pharmacovigilance, R&D, or commercial operations) with understanding of its data complexity and compliance requirements. Strong proficiency in Python for backend development (FastAPI, Flask, or equivalent) and experience building APIs and services for production. Frontend experience with React and TypeScript, building web applications that consume backend APIs. Cloud engineering experience across major platforms, with preference for Azure, including deployment, monitoring, and infrastructure as code. Experience operating software at scale in production, with ownership of observability, alerting, and reliability. Experience integrating AI and machine learning capabilities at the application layer, such as surfacing model outputs through UIs or connecting services to ML platforms. Familiarity with data engineering tooling (e.g. Databricks, PySpark) to collaborate effectively with the data engineering team. Knowledge of Docker/Kubernetes, OpenAPI, and OAuth2/JWT. Experience facilitating Agile ceremonies as a tech lead or engineering manager. English: Spanish and/or Catalan language skills are a plus. Hybrid work model and flexible working schedule that would suit night owls and early birds. ~Different training programs to support your personal and professional development.