Advanced Python Developer - Vice President

About the role

This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Responsibilities

• Own end-to-end technical direction for a data ingestion platform (ETL and streaming), ensuring scalability, performance, reliability, and maintainability.
• Design and deliver complex software solutions using strong object-oriented design principles and pragmatic architecture patterns.
• Lead and mentor a small engineering team: coaching, code reviews, technical guidance, and delivery accountability.
• Drive engineering best practices across the team, including TDD, coding standards, observability, documentation, and operational readiness.
• Guide CI/CD strategy and implementation to improve release consistency, deployment safety, and environment reproducibility.
• Troubleshoot and debug applications in UNIX/Linux environments, including hands-on support for production issues and root-cause analysis.

Requirements

• 10+ years of relevant software engineering experience, including ownership of complex systems in production environments.
• Strong programming skills in Python, with deep understanding of OOP, design patterns, and clean architecture. If primary language is Java, working knowledge of Python and familiarity with the PyPI ecosystem is expected.
• Promised experience designing, developing, and operating enterprise systems.
• Strong hands-on experience with RDBMS and SQL (e.g., DB2, PostgreSQL, Sybase) and data modeling/query performance concepts.
• Proficiency in Linux/UNIX, including command-line usage and shell scripting for automation.
• Practical experience building and maintaining CI/CD pipelines, with strong understanding of release processes and quality gates.
• Demonstrated use of TDD and/or disciplined automated testing practices in real-world delivery.
• Experience with modern SDLC methodologies, including Agile.

Qualifications

• Strong written and verbal communication skills, including the ability to translate complex technical topics for non-technical stakeholders.
• Experience mentoring, leading, or managing a small engineering team (directly or through technical leadership).

Skills

• Experience with MPP databases (e.g., Teradata, Greenplum).
• Exposure to Snowflake and/or cloud platforms and services.
• Experience with Big Data and non-relational platforms (e.g., Hadoop, MongoDB).
• Experience with scheduling/automation tooling and scripting (e.g., AutoSys, UNIX shell, Perl) for DevOps automation.
• Strong computer science foundation, including complexity analysis and performance optimization.
• Experience in financial services, especially accounting/finance-related data domains.
• Understanding of business reporting concepts, data design, and data science fundamentals.

Benefits

Morgan Stanley offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off. For more details, please refer to the company website.

Pay

Expected base pay rates for the role will be between $150,000 and $175,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Schedule

Details on the schedule will be provided during the interview process.