Infra Developer

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 Volatility Alpha Development team is the core quantitative and strategy group supporting Millennium’s global volatility business. The team develops and maintains systematic options datasets, backtesting infrastructure, event-volatility models, and live systematic volatility-fitting frameworks, directly supporting portfolio managers across global volatility strategies.
What You'll Do
Lead the migration from Airflow-based services to a scalable, Kubernetes-based service architecture organized by data type.
Build and maintain CI/CD pipelines, expanding automated test coverage across production code.
Manage the VAD-to-data-warehouse pipeline, including data lifecycle management, retention schedules, service-level agreements, and large-scale data management through handoff to the data-warehouse team.
Oversee compute-resource allocation, server onboarding, and infrastructure-usage reporting.
Build and maintain a Back tester GUI that enables visual strategy analysis and signal-level portfolio-behavior tracking.
Develop monitoring dashboards for production health, data quality, and workflow status.
Design live-override tooling for dividend overrides, on-the-fly option-series fitting, and curve-type changes for illiquid names, with signoff and audit logging to ensure traceability.
Build the UI layer for an AI-powered paper-trading platform integrated with VAD data feeds.
What You Bring
Bachelor’s, Master’s, or PhD degree in computer science, engineering, mathematics, physics, or a related quantitative field.
At least three years of experience in a quantitative, engineering, or data-driven financial-services environment.
Strong Python programming skills, with experience in Java, C#, and Angular.
Hands-on experience with Kubernetes, Docker, Airflow, and CI/CD practices.
Experience building front-end tools or GUIs; familiarity with React, GLUE 42, or comparable frameworks is preferred.
Working knowledge of financial markets, particularly options and derivatives.
Experience with AI/ML frameworks and back testing systems is highly valued.
Excellent problem-solving, communication, and cross-functional collaboration skills.

Work arrangement
No