Intermediate Backend Engineer (Python), AI Framework
GitLabLocation🌍Worldwide
Job Type💼Full‑time
Salary💵50k-100k
Posted📅31 days ago
Engineeringpythonbackendai-frameworkapimicroservicesremote
About the Role
Join our innovative team as an Intermediate Backend Engineer, where you'll play a crucial role in building and enhancing the core AI framework using Python. This is an exciting opportunity to contribute to cutting-edge AI infrastructure and impact the future of intelligent systems.
Responsibilities
- Design, develop, and maintain scalable and robust backend services for our AI framework using Python.
- Implement and optimize APIs to facilitate seamless integration of AI models and data processing pipelines.
- Collaborate closely with AI/ML engineers to translate research into production-ready systems.
- Ensure the performance, reliability, and security of backend infrastructure.
- Participate in code reviews, contribute to architectural discussions, and uphold high coding standards.
Requirements
- 2-4 years of professional experience in backend software development.
- Strong proficiency in Python and experience with modern backend frameworks (e.g., Flask, FastAPI, Django).
- Solid understanding of RESTful API design, microservices architecture, and asynchronous programming.
- Experience with database systems (SQL and/or NoSQL).
- Familiarity with version control systems, particularly Git.
- Basic understanding of machine learning concepts or a strong desire to learn and apply them in a backend context.
- Ability to work effectively in a remote team environment across different time zones (Canada/Europe).
Nice-to-Haves
- Experience with cloud platforms (AWS, GCP, Azure) and related services.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Familiarity with MLOps principles and tools.
- Experience with data streaming technologies (e.g., Kafka, RabbitMQ).
About GitLab
View companyGitLab is an open core software company that develops the most comprehensive DevSecOps Platform used by more than 100,000 organizations.
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