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Python Software Engineer
Python Software Engineer
¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura.
Location: Madrid
As a technical leader, you will design, develop, and deploy scalable AI-powered applications, translating complex AI models and business requirements into production‑ready software solutions that deliver significant business value.
Responsibilities
Lead the architectural design and development of high-performance backend services and APIs using Python (e.G., FastAPI, Django).
Architect and build robust, scalable software systems that integrate, serve, and manage machine learning models and GenAI applications.
Write clean, maintainable, and well-tested Python code, championing software engineering best practices, including code reviews and automated testing.
Collaborate closely with AI Experts and Data Scientists to understand model requirements and effectively integrate them into business-critical systems.
Optimize application performance, ensuring scalability, reliability, and low latency for AI services in production environments.
Mentor and guide junior engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
Contribute to the team's technical strategy and roadmap, making key architectural decisions and owning major components of the system.
Deploy and manage applications using containerization (Docker, Kubernetes) and cloud platforms (AWS or GCP).
Ensure the security, compliance, and governance standards are met within the applications you build.
Qualifications
5+ years of experience in software engineering with a focus on Python and modern frameworks (FastAPI, Django, Flask).
Proven experience building, deploying, and maintaining large-scale, production-grade applications.
BSc or MSc in Computer Science, Engineering, or a related technical field.
Spanish proficiency.
High level of English (preferred).
Expert proficiency in Python and its data science/backend ecosystem (LangGraph, SQLAlchemy).
Deep understanding of software architecture, design patterns, and data structures.
Experience with relational (PostgreSQL) and NoSQL databases.
Strong understanding of CI/CD principles and experience with GitHub Actions, GitLab CI, or Jenkins.
Experience with application monitoring and logging tools (Prometheus, Grafana, ELK Stack).
Strong problem‑solving skills, a deep sense of ownership, and a proactive attitude.
Excellent communication skills with the ability to lead technical discussions and collaborate effectively with technical and non‑technical stakeholders.
Benefits
Global opportunities and broad career paths.
Hybrid working models – some days remote, some days onsite with flexible hours.
Access to hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy.
High competitive salary with performance‑based bonuses.
Preferential banking terms, special interest rates on loans, life insurance, and more.
Health and wellness program: BeHealthy – holistic wellbeing.
Childcare support and family‑friendly programmes tailored to each life stage.
Legal, emotional, and administrative support through Santander Contigo.
Gym/WellHub membership, medical centers, meal subsidies, parking, shuttle service, and exclusive discounts for employees.
EEO Statement
Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. xhfqzwm We are committed to providing an inclusive and accessible application process for all candidates.
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or continue with email
¿Es este su próximo empleo? Descúbralo leyendo la descripción completa a continuación y no dude en enviar su candidatura.
Location: Madrid
As a technical leader, you will design, develop, and deploy scalable AI-powered applications, translating complex AI models and business requirements into production‑ready software solutions that deliver significant business value.
Responsibilities
Lead the architectural design and development of high-performance backend services and APIs using Python (e.G., FastAPI, Django).
Architect and build robust, scalable software systems that integrate, serve, and manage machine learning models and GenAI applications.
Write clean, maintainable, and well-tested Python code, championing software engineering best practices, including code reviews and automated testing.
Collaborate closely with AI Experts and Data Scientists to understand model requirements and effectively integrate them into business-critical systems.
Optimize application performance, ensuring scalability, reliability, and low latency for AI services in production environments.
Mentor and guide junior engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
Contribute to the team's technical strategy and roadmap, making key architectural decisions and owning major components of the system.
Deploy and manage applications using containerization (Docker, Kubernetes) and cloud platforms (AWS or GCP).
Ensure the security, compliance, and governance standards are met within the applications you build.
Qualifications
5+ years of experience in software engineering with a focus on Python and modern frameworks (FastAPI, Django, Flask).
Proven experience building, deploying, and maintaining large-scale, production-grade applications.
BSc or MSc in Computer Science, Engineering, or a related technical field.
Spanish proficiency.
High level of English (preferred).
Expert proficiency in Python and its data science/backend ecosystem (LangGraph, SQLAlchemy).
Deep understanding of software architecture, design patterns, and data structures.
Experience with relational (PostgreSQL) and NoSQL databases.
Strong understanding of CI/CD principles and experience with GitHub Actions, GitLab CI, or Jenkins.
Experience with application monitoring and logging tools (Prometheus, Grafana, ELK Stack).
Strong problem‑solving skills, a deep sense of ownership, and a proactive attitude.
Excellent communication skills with the ability to lead technical discussions and collaborate effectively with technical and non‑technical stakeholders.
Benefits
Global opportunities and broad career paths.
Hybrid working models – some days remote, some days onsite with flexible hours.
Access to hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy.
High competitive salary with performance‑based bonuses.
Preferential banking terms, special interest rates on loans, life insurance, and more.
Health and wellness program: BeHealthy – holistic wellbeing.
Childcare support and family‑friendly programmes tailored to each life stage.
Legal, emotional, and administrative support through Santander Contigo.
Gym/WellHub membership, medical centers, meal subsidies, parking, shuttle service, and exclusive discounts for employees.
EEO Statement
Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. xhfqzwm We are committed to providing an inclusive and accessible application process for all candidates.
#J-18808-Ljbffr
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