Quantitative Development - DevOps Engineer

Millennium • New York, NY

105d • $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.
• Understanding of package management, how software is deployed on systems.
• 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, and advise on and enforce best practices to maximize research and development velocity.
• Keep up with the state-of-the-art tools that are being used in the field and continuously evaluate what the best tools and practices are for our use cases.
• Create dependable and reproducible polyglot (Python, native extensions, CUDA) environments for rapidly iterating 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 apps.
• Develop robust monitoring solutions for infrastructure and deployed applications.
• Automate recurring jobs with tools like Airflow/Prefect.
• Be familiar with best practices for profiling, monitoring performance to assist with performance investigations.
• Develop solutions that empower researchers and developers to understand the performance of their code.

Benefits

• Base salary range of $160,000 to $250,000.
• Discretionary performance bonus.
• Comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior