Senior Python Developer | Wroclaw

Senior Python Developer

Work mode: Hybrid – 3 days per week from Wrocław

About the Project

We are looking for a Senior Python Developer to join a project for our client in the financial sector. The company operates in areas including transaction processing, risk analysis, and financial data platforms.

You will be part of a team developing scalable, secure, and data-intensive backend applications supporting banking and investment-related processes.

Key Responsibilities

• Design, develop, and maintain backend applications and services using Python

• Build reliable, scalable, and high-performance REST APIs and backend services

• Work with large datasets and data-intensive applications

• Develop solutions for financial data processing and transaction-related workflows

• Optimize application performance, scalability, and resource utilization

• Write clean, testable, maintainable, and well-documented code

• Apply software engineering best practices, including code reviews, testing, and secure development

• Collaborate with other developers, engineers, and stakeholders to deliver high-quality solutions

Must Have – Required Skills & Experience

• Strong proficiency in Python, including object-oriented and functional programming

• Solid experience in backend development and API design

• Experience working with large datasets and data-intensive applications

• Strong understanding of software engineering principles, design patterns, and best practices

• Good understanding of application security, scalability, and performance

• Experience working in a professional software development environment

Nice to Have

• Experience with FastAPI or Flask

• Knowledge of Docker and Kubernetes

• Experience with CI/CD pipelines

• Familiarity with financial instruments, transaction processing, or banking systems

• Experience with cloud-native architectures

• Knowledge of automated testing and observability tools

What We’re Looking For

We are looking for someone who can take ownership of backend components, make sound technical decisions, and build robust Python solutions for complex, data-intensive financial applications.