VP Full-Stack Engineer (Java/Scala) - Scalable Data Platform

474 MS Services Group, Inc.; New York (NY); On-site; USD 155,000 - 215,000; Full time

Job summary

Morgan Stanley is seeking a seasoned software engineer to design and deliver scalable data-driven solutions in a UNIX/Linux environment. You will build data ingestion platforms, automate workflows, and contribute to CI/CD while applying TDD in an Agile setting.

The role emphasizes deep DB2 expertise, strong SQL/RDBMS skills, and proficiency in Scala, Java and Python to enable real-time, scalable data processing for liquidity planning and risk management projects.

Qualifications

• 10+ years of hands-on software development experience with ownership and independent delivery.
• Strong DB2 database admin experience with real-time solution tuning.
• Hands-on experience with SQL and RDBMS like DB2, PostgreSQL or Sybase.
• Proficiency in Scala, Java and Python with OOP understanding.
• Proficiency in Linux/UNIX and shell scripting for automation.
• Experience with CI/CD pipelines and TDD.
• Experience in modern SDLC environments, including Agile methodologies.

Responsibilities

• Design and deliver scalable, maintainable software solutions using OO design principles.
• Develop and maintain data ingestion platform (ETL/Streaming) for large-scale data warehousing.
• Build and enhance automation tools and scripts for development and operations.
• Contribute to CI/CD pipelines to improve release reliability.
• Apply TDD practices to ensure quality, testability, and maintainability.
• Collaborate with cross-functional teams and communicate with stakeholders.
• Troubleshoot and debug applications in UNIX/Linux environments.

Skills

Scala

Java

Python

Linux/UNIX

CI/CD

TDD

Agile

SQL

DB2

Tools

DB2

PostgreSQL

Sybase

Spark

Snowflake

Hadoop

MongoDB

AutoSys

Perl

Shell scripting

Job description

Morgan Stanley is seeking a seasoned software engineer to design and deliver scalable data-driven solutions in a UNIX/Linux environment. You will build data ingestion platforms, automate workflows, and contribute to CI/CD while applying TDD in an Agile setting.

The role emphasizes deep DB2 expertise, strong SQL/RDBMS skills, and proficiency in Scala, Java and Python to enable real-time, scalable data processing for liquidity planning and risk management projects.