Quantitative Development - DevOps Engineer

Millennium ManagementNew York, NY
74d$160,000 - $250,000

About The Position

The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm's trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis. We are seeking a highly driven, results-oriented, and opinionated dev ops leader with experience in handling research infrastructure, deploying critical applications, and operating on large amounts of data to create battle-tested infrastructure and improve the research development experience.

Requirements

  • 10+ years of experience with research focused DevOps (HPC, ML research, quant research) and experience with high-availability production deployments.
  • Strong communications skills and ability to work with many stakeholders in a team environment.
  • Leadership skills: ability to work with constraints, make decisions under time pressure, and own your work.
  • Experience writing clean, robust, and testable code for automating processes pertaining to infrastructure management and deployment.
  • Familiarity with Linux internals and understanding of package management.

Nice To Haves

  • Strong understanding of Python internals.
  • Familiarity with the latest standards in the packaging ecosystem (uv), build tools like hatchling.
  • Familiarity with tools like: Nix, Conda, Pixi, and containers.

Responsibilities

  • Design and implement infrastructure to maximize research and development velocity.
  • Keep up with state-of-the-art tools and continuously evaluate best practices for use cases.
  • Create dependable and reproducible polyglot environments for research projects that can be easily deployed to production.
  • Enforce best practices and packaging standards for large research codebases.
  • Work with the cloud to help scale research jobs.
  • Develop CI/CD pipelines for research processes and live trading applications.
  • Develop robust monitoring solutions for infrastructure and deployed applications.
  • Automate recurring jobs with tools like Airflow/Prefect.
  • Be familiar with best practices for profiling and monitoring performance to assist with performance investigations.
  • Develop solutions that empower researchers and developers to understand the performance of their code.

Benefits

  • Discretionary performance bonus
  • Comprehensive benefits package
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