Director, Software Engineering

Socket.dev; New York (NY); Hybrid; USD 149,000 - 182,000; Full time

Job summary

Morgan Stanley is seeking a Director of Software Engineering in New York to lead backend and data engineering efforts. You will build and maintain Java Spring Boot services, and Python ETL flows while ensuring data quality and robust data warehouse schemas across DB2 and Snowflake.

You’ll collaborate with IT teams, vendors, and business users across the firm. Responsibilities include supporting SDLC ownership, deploying secure software, and responding to data or system alerts.

Qualifications

• Master’s degree in Information Systems or a related field is required.
• Three years of experience in software engineering roles is required.
• Experience with enterprise data platforms and backend development is required.

Responsibilities

• Develop and maintain Java Spring Boot services.
• Build Python ETL flows and data quality rules.
• Maintain schemas and contents of operational data stores and data warehouse (DB2, Snowflake).
• Respond to support queries and analyze system/data issues; document enhancements.

Skills

Python

Java 8+

Spring Boot

ETL

Data quality

SQL databases

REST APIs

SOA

Cloud platforms

Unix/Linux

Education

Master’s degree in Information Systems / CIS

Tools

DB2

Snowflake

SQL Server

Job description

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, 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.

What you’ll do in the role:

Morgan Stanley Services Group Inc. is seeking a Director, Software Engineering in New York, New York to build and maintain Java Spring Boot services, Python ETL flows, and data quality rules based on business requirements. Maintain the schemas and contents of our operational data stores (ODSs) and data warehouse across DB2 and Snowflake databases. Respond to support queries and system or data alerts. Perform detailed data analysis to troubleshoot system anomalies. Document process enhancements. Work closely with business users, external vendors, Morgan Stanley's central IT teams, and other Investment Management IT teams globally. Participate in the SDLC as required by the firm to develop, deploy, and support applications. Perform software hygiene tasks to ensure software is properly upgraded and security risks are minimized. Telecommuting permitted up to two (2) days per week.

What you’ll bring to the role:

• Requires a Master’s degree in Information Systems and Security, Computer Information Systems or a related field.


• Requires three (3) years of experience in the position offered or three (3) years as a Computer Programmer, Software Developer, or a related role.


• Requires three (3) years of experience with the following:

• Applying end-to-end backend engineering for enterprise data platforms using Python, Java 8+, and Spring Boot;


• Utilizing Python knowledge in ETL engineering and data pipeline maintenance for operational and analytical data workflows;


• Conducting data quality framework development in Python, including validation, reconciliation, and anomaly detection rules;


• Performing relational database skills across DB2, Snowflake, and SQL Server, including schema design, SQL optimization, and data lifecycle management;


• Microservices and API design expertise, including RESTful service development and integration;


• Service-Oriented Architecture (SOA) application in distributed enterprise systems;


• Applying Cross-language data access implementation using Java/Python database connectivity layers;


• Implementing Cloud platform to modernize data and service architecture;


• Evaluating production support and incident response capability for system alerts, data issues, and root-cause analysis;


• Applying SDLC ownership across design, build, test, deployment, support, and secure software hygiene/upgrades;


• Utilizing UNIX/Linux operational proficiency for deployment, scripting, troubleshooting, and runtime support;


• Demonstrating expertise with exceptional command of investment management data, workflows, and controls that drive accurate, high-impact business outcomes;


• Evaluating quantitative and analytical capability for portfolio analytics contexts including performance, attribution, and risk;


• Calculating Financial look-through for portfolio exposure, risk analytics and built complex logic for multi-level look-through of funds.

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 $165,589 and $165,589 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.