Gen AI-FullStack Developer

2 weeks ago

Montreal, Quebec, Canada Yochana Full time $120,000 - $180,000 per year

We are seeking an accomplished Full Stack Developer with expertise in GenAI technologies to join the Resilience Technology 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:
    years of hands-on experience. Proven ability to write optimized, efficient, and clean code.
  • React:
    5+ years of UI/UX implementation experience.
  • GenAI:
    Experience with Generative AI technologies and coding assistants.
  • Databases:
    Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
  • OOP & Design Patterns:
    Strong grasp and practical use during development.
  • Linux/Unix & Shell Scripting:
    Solid working knowledge.
  • 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.

Skills & Experience Desired

  • Advanced database skills, including PL/SQL and query optimization.
  • Experience with DevOps practices: CI/CD pipeline management, containerization, observability tools.
  • Familiarity with Layered and Component-based Architecture.
  • Scripting expertise in Python, Perl, or Unix shell.
  • Exposure to various application types: web, batch, and streaming.
  • Experience working in global Agile Scrum teams.

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