Python Developer, AVP

Core Python Skills

• A strong grasp of fundamental and advanced Python concepts is the foundation:
• Core Concepts: Proficiency in Python's syntax, data types (lists, dictionaries, tuples, sets), control structures, and functions.
• Object-Oriented Programming (OOP): Understanding classes, objects, inheritance, and encapsulation to build modular and scalable applications is crucial, as the platform is object-oriented.
• Exception Handling: The ability to manage errors gracefully using try and except blocks to ensure application stability.
• Testing and Debugging: Expertise in unit testing using tools like PyTest or Unittest, and effective debugging to identify and fix issues in the code.
• Modular Programming: Structuring code into smaller, reusable functions or classes for maintainability and collaboration.
• Code Quality & Version Control: Adhering to best practices like PEP 8 style guidelines and using version control systems (Git, GitHub, GitLab) for collaborative development and change tracking.

Thought Machine Platform Specific Skills

• In addition to general Python skills, specific knowledge of the Thought Machine ecosystem is required:
• Smart Contract Engineering: The logic of financial products is defined in Python-based "smart contracts" within Vault Core. This requires skills in:
• Defining smart contract headers and parameters.
• Using lifecycle hooks and scheduled triggers to execute business logic.
• Writing unit and simulation tests for financial products.
• API Development and Integration: Proficiency in making and analyzing API requests (GET, POST, etc.) is essential for integrating the platform with other internal and third-party systems, such as CRM or onboarding services.
• Cloud Platforms: Thought Machine's Vault Core is a cloud-native solution, so experience with cloud platforms (AWS, Azure, etc.) and understanding multi-process architecture for deployment is valuable.
• Database Knowledge: Skills in working with databases, including an understanding of SQL and NoSQL databases and Object-Relational Mappers (ORMs) like SQLAlchemy, for efficient data storage and retrieval.
• Working experience on GCP cloud environment will be plus.
• Extensive experience with configuration management tools: Ansible, Terraform, Kubernetes, Docker, Helm or similar tools.
• Extensive experience in understanding networking concept e.g. Firewall, Loadbancing, data transfer

General Professional Skills

• Soft skills are also important for successful project delivery:
• Analytical and Problem-Solving Skills: Essential for designing efficient solutions, optimizing algorithms, and debugging complex technical challenges.
• Communication: Clear verbal and written communication skills are needed to collaborate effectively with technical and non-technical team members and stakeholders.
• Adaptability & Collaboration: The ability to stay updated with new technologies and work effectively within a team environment

How we’ll support you

About us and our teams