Dla naszego klienta Green Minds poszukujemy osoby na stanowisko Mid/Senior Python Developer.
For one of our clients (financial and consulting company), we are looking for an experienced specialist - Python Developer.
Working hours: 09-17 CET (the possibility of later calls appearing from time to time).
Job type: fully remote.
The project is from the tax industry. The client is international - from the US.
Employment through a B2B contract.
You will be responsible for designing, developing, and implementing solutions, leveraging your expertise in Python, API integrations, and microservices architecture. Experience with AI/ML implementations and ERP integrations will be highly valued.
Your Responsibilities
Design, develop, and maintain robust and scalable microservices using Python
Integrate data from diverse sources, including ERP systems
Contribute to the architecture and design of our platform.
Write clean, well-documented, and testable code.
Participate in code reviews and contribute to improving our development processes.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers.
Contribute to technical documentation and knowledge sharing within the team.
Potentially lead small teams or mentor junior developers.
Our Requirements
Minimum of 5 years of relevant experience in Python development.
Strong proficiency in Python and experience with relevant frameworks (e.g., Django/Flask, Pandas, NumPy, FAST API).
Solid understanding and experience building APIs.
Experience designing and implementing microservices architectures.
Experience with API integration and development (RESTful APIs).
Strong understanding of software development best practices, including testing, code review, and continuous integration/continuous deployment (CI/CD).
Experience with relational databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Proficiency in English (written and spoken) is required.
Nice To Have
Experience integrating with ERP systems (e.g., SAP, Oracle).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
