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# Sr Software Developer

- **Company:** Morgan Stanley
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $210,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithmic Trading, Amazon Web Services, Microsoft Azure, Cloud Engineering, Profiling, Nvidia CUDA, Extract Transform Load (ETL), Relational Databases, Software Debugging, Linux, Github, Graph Database, Monitoring of Systems, Python (Programming Language), Software Maintenance, Software Construction, Software Engineering, Load Balancing, Apache Spark, Deep Learning, Containerization, Kubernetes, Dask, ROCm, Machine Learning Operations, Terraform, Docker
- **Published:** October 1, 2026
- **Apply:** https://www.themuse.com/jobs/morganstanley/sr-software-developer

## About the Role

* Minimum 10 years of related technology experience.
 * Strong background in Python and Java/C/C++. Development, packaging, patching, etc.
 * Debugging, profiling, and performance engineering.
 * Familiarity with trading systems.
 * Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc.
 * Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime.
 * At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.)
 * Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases.
 * Experience designing ETL pipelines.
 * Linux (system level understanding, building software, debugging, etc.)
 * Self-starter capable of taking an idea and seeing it all the way from research to execution.
 * Ability to clearly illustrate complex ideas using documentation and diagrams.

Nice to have:

 * Dask, Ray, Spark, and other distributed compute tech.
 * OSS development.
 * Mathematics, e.g., statistics, linear algebra.
 * Background in data science.
 * Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.)
 * Knowledge of model monitoring tools (mlflow, tensorboard, etc.)
 * Experience with CUDA, ROCm, etc.
 * Exposure to the financial sector (equities, fixed income, etc.)
 * Knowledge of GitHub (general PR workflow, Actions, etc.)

## Description

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.


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