Descripción de la oferta
MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.
MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed Services and compliance.
The Opportunity
We're looking for a Full Stack Engineer to join our Data and AI Engineering team. This role is ideal for individuals who take pride in building secure, scalable systems that bridge frontend user experiences with robust backend architectures, enabling real-world data and AI applications in the life sciences domain.
You’ll collaborate with Data Engineers and AI Engineers to develop clean, maintainable code across the entire technology stack, creating API-driven architectures and intuitive user interfaces that adhere to modern engineering best practices.
What You’ll Do
Build and maintain well-documented, testable RESTful APIs using FastAPI, Flask, or similar frameworks.
Implement API-centric architectures that ensure clean separation between frontend and backend services, enabling scalable and maintainable applications.
Apply software engineering best practices including SOLID principles, DRY, clean code, proper error handling, and comprehensive testing strategies.
Create intuitive user interfaces that effectively present complex life sciences data and AI insights to end users.
Develop and maintain CI/CD pipelines using tools such as GitHub Actions or Azure DevOps, incorporating automated testing, code quality gates, and deployment strategies.
Apply security best practices across the full stack (authentication, authorization, input validation, XSS prevention, CORS configuration).
Implement proper code review processes, documentation standards, and maintain high code quality through static analysis and testing.
Deploy and operate across cloud environments (Azure, AWS, GCP) following infrastructure as code principles.
Champion observability practices by integrating logging, metrics, and monitoring into both frontend and backend applications.
Participate in peer reviews, architecture sessions, and agile ceremonies with a focus on continuous improvement.
What We’re Looking For - Core Experience & Skils
Experience with Python-based backend frameworks like FastAPI or Flask for API development.
Strong understanding of RESTful API design, API-centric architectures, and effective API consumption patterns.
Proven experience applying engineering best practices: clean code principles, SOLID design patterns, comprehensive testing (unit, integration, e2e), and proper documentation.
Familiarity with CI/CD practices and automation tools (GitHub Actions, Azure DevOps) including automated testing and deployment pipelines.
Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.) with focus on data integrity and performance.
Understanding of security fundamentals and cloud-native environments with deployment experience.
Experience with version control best practices, code review processes, and collaborative development workflows.
Team-first mindset and experience in agile environments (Scrum, Kanban).
Professional working proficiency in English.
What We’re Looking For - Nice to Have
Experience with Next.js for server-side rendering and full-stack React applications.
Knowledge of graph databases (Neo4j, Azure Cosmos DB with Gremlin API) and graph-based data modeling.
Experience with state management libraries (Redux, Zustand) and modern React patterns.
Knowledge of Docker/Kubernetes, OpenAPI, OAuth2/JWT for containerization and API security.
Familiarity with observability tooling (Prometheus, Grafana, ELK) and frontend testing frameworks (Jest, React Testing Library, Cypress).
Experience with enterprise frameworks such as SAFe (Scaled Agile Framework) and agile scaling methodologies.
Understanding of GxP (Good Practice) guidelines and compliance requirements in regulated life sciences environments.
Collaboration experience with Data Engineers or AI/ML Engineers in cross-functional teams.
Understanding of regulated environments such as life sciences, healthcare, and related compliance frameworks.
What we offer
Hybrid work model and flexible working schedule that would suit night owls and early birds
25 holiday days per year
Free English classes
Possibilities of career development and the opportunity to shape the company future
An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged
Different training programs to support your personal and professional development
Work in a fast growing, international company
Friendly atmosphere and supportive Management team
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