Infra Developer

Millennium Management; Hong Kong; In loco; HKD 800.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

Millennium is seeking an Infra Developer to advance the Volatility Alpha Development platform. You will migrate Airflow-based services to a Kubernetes-based architecture, and build CI/CD pipelines to improve test coverage and delivery.

You will manage end-to-end data pipelines, oversee infrastructure usage, and develop a Back tester GUI and live-override tooling. Strong Python, Kubernetes, Docker, Airflow, and frontend experience are essential.

Competenze

• Bachelor’s, Master’s or PhD in computer science, engineering, mathematics, physics or related quantitative field.
• At least 3 years in a quantitative, engineering, or data-driven financial-services environment.
• Strong Python programming with experience in Java, C#, and Angular.
• Hands-on Kubernetes, Docker, Airflow and CI/CD practices.

Mansioni

• Lead migration from Airflow-based services to Kubernetes-based architecture.
• Build and maintain CI/CD pipelines with expanded test coverage.
• Manage data pipelines and lifecycle management from VAD to the data warehouse.
• Oversee resource allocation, server onboarding, and infra usage reporting.
• Develop Back tester GUI for strategy analysis and signal-level tracking.
• Create monitoring dashboards for production health and data quality.
• Design live-override tooling with signoff and audit logging.
• Build UI for AI-powered paper-trading platform integrated with VAD feeds.

Conoscenze

Python

Java

C#

Angular

Kubernetes

Docker

Airflow

CI/CD

React

AI/ML frameworks

Back testing

Formazione

Quantitative degree

Strumenti

GLUE 42

Descrizione del lavoro

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.

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.