Advanced Python Developer - Vice President

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. 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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

What you'll do in the role:

• 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.

What you'll bring to the role:

• 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.

• Proven 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 .

• 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).

Preferred (Nice-to-Have) Qualifications

• 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 ).

• Familiarity with  DevOps tooling and automated change management processes.

• 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.

Leadership Expectations

• Sets a high technical bar through example—hands-on contribution, high-quality reviews, and thoughtful architecture decisions.

• Promotes an engineering culture focused on reliability, transparency, continuous improvement, and measurable outcomes.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste into your browser.

Expected base pay rates for the role will be between $150,000 and $210,000 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.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: .