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Senior Backend Python information
What are the key skills and qualifications needed to thrive as a Senior Backend Python Developer, and why are they important?
What are some common challenges Senior Backend Python developers face when working on large-scale systems?
What does a Senior Backend Python Developer do?
What is the difference between Senior Backend Python vs Backend Developer?
| Aspect | Senior Backend Python | Backend Developer |
|---|---|---|
| Required Credentials | Bachelor's in CS or related, 5+ years experience, Python expertise | Bachelor's in CS or related, 2-4 years experience, Python knowledge |
| Work Environment | Tech companies, startups, enterprise systems | Tech firms, startups, software agencies |
| Employer & Industry Usage | Used across industries requiring scalable backend solutions | Common in web development and software services |
| Search & Comparison Intent | Understanding senior roles, responsibilities, salary | Entry to mid-level backend roles, skill requirements |
Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.
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Full-time
Medical
Posted 15 days ago
Job description
We are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine Learning Engineering team of a global leader in the travel industry. In this role, you will help design, build, and maintain the infrastructure that powers our ML solutions managing data pipelines, streamlining model deployment, and optimizing compute resources.
You'll work on high-impact systems such as ranking, recommendation, and pricing optimization, while collaborating closely with data scientists to integrate models into production.
Key Responsibilities
- Design and implement scalable ML infrastructure for training, deployment, and serving in
batch and real-time environments. - Build and maintain efficient data pipelines for large-scale processing and feature engineering.
- Optimize compute resources and improve model serving performance across ML systems.
- Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops
practices including CI/CD pipelines. - Collaborate closely with Data scientists to streamline the model development-to-productionworkflow.
- Research and integrate new technologies, mentor junior engineers, and communicate
technical solutions to diverse stakeholders.
Qualifications
- Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical field.
- 6-7 years of experience in Software, Data, or ML engineering roles (preferred).
- Strong problem-solving skills, proficiency in Java and desirable Python.
- Understanding of ML algorithms, model architectures, and experience building scalable,
reliable ML systems. - Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data
systems (e.g., Spark, Kafka). - Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g.,
MLflow), and ability to collaborate well across teams.
Ideal Candidate
- This role is well-suited to someone with a solid foundation in at least one of the following areas:software engineering, data engineering, distributed systems, or applied machine learning and areadiness to grow into others as the work requires. We welcome candidates who are strong,language-agnostic problem solvers and passionate about building robust ML systems.
Location
- Madrid: Hybrid work model with an expected office presence of 3 days per week.
Some of the benefits you'll enjoy working with us:
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- Medical insurance.
How to Apply
If you believe you can do the job and are excited to grow with us, we'd love to hear from you. Please submit your application through our careers page.
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