Backend Python Developer
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- GenAI Focus Position: We are seeking an accomplished Backend Python Developer with expertise in GenAI technologies to join the team and drive key initiatives forward. Responsibilities
- Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
- Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
- Collaborate with global teams to translate business requirements into robust technical solutions.
- Participate in scrum meetings, report on project status, and adapt to evolving regulatory requirements.
- Learn and apply Morgan Stanley’s proprietary frameworks and best practices.
- Write comprehensive unit tests to ensure code reliability and maintainability.
- Respond proactively to change, mastering new technical and business concepts as needed. Skills & Experience Required
- Python: Overall 7+ years of development experience with 5+ years of hands-on experience in Python. Proven ability to write optimized, efficient, and clean code.
- GenAI Coding Assistant: Experience with coding assistants like copilot, using Agent mode, Skills, etc.
- Databases: Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
- SDLC : Experience with DevOps practices: CI/CD pipeline management, containerization, observability tools.
- Analytical
Skills:
Ability to design and implement effective solutions to complex problems.
- Teamwork & Communication: Strong work ethic, collaborative spirit, and clear communication skills, both oral and written.
- Testing: Ability to write thorough unit tests covering all major logic components, preferably using coding assistant. Skills & Experience Desired
- GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, etc.
- UI development using Angular / React Framework.
- Linux/Unix & Shell Scripting: Solid working knowledge.
- Advanced database skills, including PL/SQL and query optimization.
- Exposure to various application types: web, batch, and streaming.
- Experience working in global Agile Scrum teams.
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