Requirements
- Experience with Kubernetes or similar container orchestration tools.
- 6+ years of professional experience developing backend systems using Python.
- Strong experience designing scalable APIs and microservice-based architectures.
- Experience integrating ML models and data pipelines into backend services.
- Solid understanding of Python deployment, containerization, and cloud-native practices.
- Experience with AWS and modern CI/CD workflows.
- Knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Prior experience mentoring engineers or leading technical initiatives.
- Comfortable working in agile, fast-paced, distributed teams.
Nice to Have
- Exposure to ML infrastructure or data engineering platforms.
- Background working on large-scale, production ML systems.
