OverviewJoin to apply for the Quantitative Development - DevOps Engineer role at Millennium.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 DevOps 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.ResponsibilitiesLeadership: the candidate will design and implement infrastructure, and advise on and enforce best practices to maximize research and development velocityResearch: the candidate is expected to 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 casesMachine Learning Operations (MLOps) + Development Experience (DevEx):create dependable and reproducible polyglot (Python, native extensions, CUDA) environments for rapidly iterating research projects that can be easily deployed to prodEnforce best practices and packaging standards for large research codebasesWork with the cloud to help scale research jobsInfrastructure automation:develop CI/CD pipelines for research processes and live trading appsdevelop robust monitoring solutions for infrastructure and deployed applicationsautomate recurring jobs with tools like Airflow/PrefectPerformance engineering:Be familiar with best practices for profiling, monitoring performance to assist with performance investigationsDevelop solutions that empower researchers and developers to understand the performance of their codeQualifications / Skills RequiredExperience: 10+ years of experience with research focused DevOps (HPC, ML research, quant research) and experience with high-availability production deploymentsStrong communications skills and ability to work with many stakeholders in a team environmentLeadership skills: ability to work with constraints, make decisions under time pressure, and own your workDevelopment skills: Experience writing clean, robust, and testable code for automating processes pertaining to infrastructure management and deploymentSystems knowledge:familiarity with Linux internalsunderstanding of package management, how software is deployed on systemsPython:Strong understanding of Python internalsFamiliarity with the latest standards in the packaging ecosystem (uv), build tools like hatchlingFamiliarity with tools like: Nix, Conda, Pixi, and containersSeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesInvestment Management
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