Advanced Python Developer - Vice President

About the Position Lead Software Engineer at the Vice President level within the Technology division. The role focuses on developing and maintaining software solutions that support business needs, particularly a data ingestion platform (ETL and streaming). 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. Qualifications 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. For candidates whose primary language is Java, a 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 a 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 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. Compensation Expected base pay is between $150,000 and $210,000 per year at commencement of employment. Total compensation may also include commission earnings, incentive compensation, discretionary bonuses, and other 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. #J-18808-Ljbffr Morgan Stanley