Sr Software Developer

Morgan Stanley

Base: $150,000 to $210,000 py; bonus/equity: commi...
10 years related technology experience
Strong python and java/c++ background
Container technologies docker kubernetes
This Lead Software Engineering position at the Vice President level is responsible for developing and maintaining software solutions that support business needs within the Technology division

Job Summary

  • This Lead Software Engineering position at the Vice President level is responsible for developing and maintaining software solutions that support business needs within the Technology division.
  • The role involves working closely with ML researchers to develop, productionize, and deploy bespoke ML-based projects while managing and reusing models across the firm.
  • Candidates will be expected to remain up to date on ML tools and techniques while building tooling to promote ML development and bootstrap practitioners within the organization.

Matching Summary

This Lead Software Engineering position at the Vice President level is responsible for developing and maintaining software solutions that support business needs within the Technology division.

Salary

Base: $150,000 to $210,000 per year; Bonus/Equity: Commission earnings, incentive compensation, discretionary bonuses, short and long-term incentive packages; Benefits: Comprehensive employee benefits and perks

Skills & Requirements

Must-have

  • 10 years related technology experience
  • Strong Python and Java/C++ background
  • Container technologies Docker Kubernetes
  • Linux system level understanding debugging
  • Experience designing ETL pipelines
  • Familiarity with trading systems

Nice-to-have

  • Distributed compute tech Dask Ray Spark
  • Deep learning deployment JAX OpenXLA
  • Model monitoring tools MLflow Tensorboard
  • CUDA ROCm GPU programming knowledge
  • OSS development and mathematics background
  • GitHub PR workflow Actions experience

Key Requirements

  • Minimum 10 years of related technology experience
  • Strong background in Python and Java/C++
  • Experience with container technologies like Docker and Kubernetes
  • Understanding of core infrastructure including processor architectures
  • Familiarity with cloud technologies such as AWS or Azure
  • Experience designing ETL pipelines and data tiers

Work Rights

Not specified

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