VP, Real-Time Database Engineering

PowerToFly

New York (NY)

On-site

USD 155,000 - 215,000

Full time

14 days+

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Job summary

Morgan Stanley in New York seeks a VP‑level Software Engineer for the FICFX team to help build and maintain high‑performance trading platforms and own critical software solutions end‑to‑end.

Responsibilities include designing schemas, optimizing queries, performing deep troubleshooting, and creating automation with Python, Perl and Shell while supporting real-time and batch data pipelines; the role emphasizes collaboration, engineering excellence, and impact.

Qualifications

  • Strong SQL and real-time system experience.
  • Proven troubleshooting and analytical skills.
  • Excellent communication and task-management abilities.
  • 7+ years of related experience.
  • Exposure to SAP ASE/SAP IQ and database environments.

Responsibilities

  • Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
  • Working across SAP ASE, SAP IQ, MS SQL Server, and PostgreSQL environments.
  • Designing and optimizing schemas, queries, and database structures.
  • Performing deep performance analysis and root cause troubleshooting.
  • Building and maintaining automation using Python, Perl, and Shell.
  • Supporting real-time and batch data pipelines, ETL, and replication.
  • Enhancing monitoring, data capture, and operational tooling.

Skills

SQL
Real-time systems
Troubleshooting
Communication skills
Task management
7+ years experience

Tools

SAP ASE
SAP IQ
MS SQL Server
PostgreSQL
Python
Perl
Shell
Linux/Unix

Job description

Morgan Stanley in New York seeks a VP‑level Software Engineer for the FICFX team to help build and maintain high‑performance trading platforms and own critical software solutions end‑to‑end.

Responsibilities include designing schemas, optimizing queries, performing deep troubleshooting, and creating automation with Python, Perl and Shell while supporting real-time and batch data pipelines; the role emphasizes collaboration, engineering excellence, and impact.

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