Quantitative Development - DevOps Engineer

Millennium Management LLC; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Millennium is seeking a Quantitative Development - DevOps Engineer to design and build scalable infrastructure for CLS research and production workflows. You will implement polyglot environments, improve packaging standards, and collaborate with cloud-based infrastructure to scale workloads.

You will lead with strong DevOps practices, automate deployment pipelines, and ensure high-availability in fast-paced research environments, contributing to robust, reliable trading platforms.

Qualifications

• 7+ years of experience in research-focused DevOps environments such as HPC, machine learning research or quantitative research.
• Strong communication skills and the ability to work with diverse stakeholders.
• Demonstrated leadership skills, including decision-making under time pressure and ownership of outcomes.
• Strong development skills to automate infrastructure management and deployment processes.
• Solid systems knowledge, including Linux internals and package management.
• Strong understanding of Python internals and modern packaging standards.
• Familiarity with packaging and build tooling (uv, hatchling).
• Experience with tools and platforms such as Kubernetes, Conda, Nix, Pixi, and containers.

Responsibilities

• Design and implement infrastructure that improves R&D velocity across CLS environment.
• Advise on engineering and infrastructure best practices for scalable workflows.
• Evaluate state-of-the-art tools and apply sound judgment for CLS use cases.
• Build reproducible polyglot environments across Python and CUDA for fast iteration and deployment.
• Strengthen packaging standards and development practices for large codebases.
• Partner with cloud-based infrastructure to scale workloads and improve efficiency.
• Develop CI/CD pipelines, monitoring solutions, and job automation for research and live trading apps.
• Create solutions to profile and monitor application and infrastructure performance.

Skills

DevOps experience

Strong communication

Leadership

Python internals

Linux systems

Packaging tooling

CI/CD pipelines

Tools

Kubernetes

Conda

Nix

Pixi

Containers

uv

hatchling

Job description

Quantitative Development - DevOps Engineer

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

The Central Liquidity Strategies business within Execution Services manages a range 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. The team operates at the intersection of research, engineering, and production infrastructure, supporting the platforms, tooling, and operational foundations required to scale research workflows and deploy critical applications reliably.

What You'll Do

• Design and implement infrastructure that improves research and development velocity across the CLS environment
• Advise on, establish, and enforce engineering and infrastructure best practices to support scalable, reliable research and production workflows
• Evaluate state-of-the-art tools and practices and apply sound judgment in selecting the right solutions for CLS research and development use cases
• Build dependable, reproducible polyglot environments across Python, native extensions, and CUDA that support fast research iteration and smooth production deployment
• Strengthen packaging standards and development practices for large research codebases
• Partner with cloud-based infrastructure to help scale research workloads and improve execution efficiency
• Develop CI/CD pipelines, monitoring solutions, and job automation frameworks for research processes and live trading applications
• Create solutions that help researchers and developers profile, monitor, and better understand application and infrastructure performance

What You Bring

• 7+ years of experience in research-focused DevOps environments such as HPC, machine learning research, or quantitative research, along with experience supporting high-availability production deployments
• Strong communication skills and the ability to work effectively with a wide range of stakeholders in a team environment
• Demonstrated leadership skills, including the ability to work within constraints, make decisions under time pressure, and take ownership of outcomes
• Strong development skills, including experience writing clean, robust, and testable code to automate infrastructure management and deployment processes
• Solid systems knowledge, including familiarity with Linux internals, software deployment, and package management
• Strong understanding of Python internals and modern Python packaging standards
• Familiarity with current packaging and build tooling, including uv and hatchling
• Experience with tools and platforms such as Nix, Conda, Pixi, Kubernetes, and containers