Tech Lead Python

Industry: Banking

Location: In-person meetings as follows: Kraków and surrounding area – 5 times per month; Warsaw and surrounding area – 3 times per month; outside Warsaw and Kraków – once a month or three times per quarter (if preferred).

Summary: The Tech Lead Python Developer will play a crucial role in designing and developing scalable, efficient Python applications with a primary focus on AI and microservices architecture. This position is pivotal for driving technological advancements within the organization, optimizing systems for performance, and leading a development team towards successful project outcomes.

Key Responsibilities:

• Design, develop, and maintain scalable Python applications.

• Build and implement REST APIs using the FastAPI framework.

• Collaborate with cross-functional teams to design and implement microservices architecture.

• Manage and optimize database systems, ensuring high performance and reliability.

• Deploy, monitor, and maintain applications on Google Cloud Platform (GCP).

• Write clean, efficient, and well-documented code following best practices.

• Troubleshoot and resolve technical issues on time.

• Experience working with AI Frameworks like PyTorch and TensorFlow and their complexities.

• Additional understanding of Gen-AI and AI techniques used in natural language processing and image processing.

Key Requirements:

• Proficiency in Python programming with a strong understanding of its libraries and frameworks.

• Hands-on experience in application development and REST API design using FastAPI.

• Solid knowledge of database systems (SQL/NoSQL) and optimization techniques.

• Experience with microservices architecture and containerization technologies (e.g., Docker, Kubernetes).

• Familiarity with GCP services including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.

• Strong problem-solving skills and team collaboration.

• Excellent communication skills and attention to detail.

Nice to Have:

• Experience with AI Frameworks beyond PyTorch and TensorFlow.

• Knowledge of security best practices in software development.

• Experience with CI/CD tools and methodologies.