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 https://www.morganstanley.com/about-us/global-offices 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: https://www.morganstanley.com/people-opportunities/eeo.
Skills Required
- 10+ years of software engineering experience
- Strong programming skills in Python
- Experience with RDBMS and SQL
- Proficiency in Linux/UNIX
- Experience building and maintaining CI/CD pipelines
- Mentoring, leading, or managing an engineering team
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
