Software Engineering Team Lead

• 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. 
• Confidence engaging with business stakeholders, understanding their needs, and building trust across client engagements. 
• Good communication skills, able to explain technical decisions clearly to both engineers and non-technical audiences. 
• Results-oriented, with a strong sense of ownership and commitment to continuous improvement.

• 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. 
• Understanding of GxP or other regulated environment requirements in life sciences. 
• Experience facilitating Agile ceremonies as a tech lead or engineering manager.

English: B2+ / C1 level required.

Spanish and/or Catalan language skills are a plus.

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 bring technical depth to make sound architecture decisions and the people skills to help your team grow. 

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. You will also contribute to how MIGx evolves its engineering capabilities, exploring new technologies and helping clients see what is possible.

• 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.  
• Engage with business and client stakeholders to understand their challenges and translate them into technical solutions. 
• Explore and evaluate emerging technologies and bring those insights back into client work and MIGx's internal practices. 
• Participate in scoping and pre-sales discussions, representing the engineering perspective. 
• Contribute to MIGx's delivery practices, tooling, and reusable assets across engagements.

We value diverse backgrounds and leadership styles. Even if you do not check every box, we would still love to hear from you. What matters most is impact, ownership, and care for both the craft and your team.  

Core Experience & Skills:

Lead