Hybrid Senior Research Software Engineer – Quant Dev

Morgan Stanley; Seattle (WA); Hybrid; USD 78,000 - 185,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Paid Time Off

Holiday Pay

Job summary

Morgan Stanley's Parametric team is seeking a Senior Research Software Engineer to modernize existing applications and build new tools for Portfolio Management research. You will ensure SDLC compliance and collaborate with cross-functional teams across the Quantitative Development group.

The role emphasizes developing cloud-native solutions, applying secure coding practices, and advancing analytics and data workflows within a hybrid office model.

Qualifications

• 5+ years of experience developing cloud-native applications.
• Python development experience a plus.
• Experience with OOP languages such as C# or Java.
• Strong AWS knowledge (ECS, S3, Batch, EC2).
• Experience with Kafka and other streaming tech.
• Solid Docker/containerization knowledge.
• Familiarity with Terraform and IaC.
• Version control with GIT or SVN.
• Experience with Agile development and CI/CD tools.
• NoSQL databases like DynamoDB, MongoDB.

Responsibilities

• Understand and document requirements with the business unit.
• Design and develop integrations with 3rd party data providers and systems.
• Share knowledge to improve processes and productivity.
• Create unit, integration and functional tests.
• Follow development processes and guidelines.

Skills

Cloud native development

Python

C# / Java

AWS services

Kafka

Docker

Terraform

Git/SVN

Agile

CI/CD

NoSQL (DynamoDB, MongoDB)

Communication

Tools

ECS (AWS)

S3

Batch

EC2

Kafka

Job description

Morgan Stanley's Parametric team is seeking a Senior Research Software Engineer to modernize existing applications and build new tools for Portfolio Management research. You will ensure SDLC compliance and collaborate with cross-functional teams across the Quantitative Development group.

The role emphasizes developing cloud-native solutions, applying secure coding practices, and advancing analytics and data workflows within a hybrid office model.