Quant Infra Developer: Kubernetes, Backtester & AI Trading

Millennium; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Millennium seeks a quantitative software engineer in Hong Kong to lead data-system migrations and build scalable APIs and GUIs. You'll implement Kubernetes-based architectures, CI/CD practices, and robust data pipelines while supporting live trading tools and AI-powered features.

Collaboration across teams is essential for reliable, scalable infrastructure. The role emphasizes strong Python skills, frontend tooling experience, and familiarity with options/derivatives markets, with a focus on

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field.
• At least three years of experience in a quantitative, engineering, or data-driven financial-services environment.
• Strong Python programming skills; experience in Java, C#, and Angular.
• Hands-on experience with Kubernetes, Docker, Airflow, and CI/CD.
• Experience building front-end tools or GUIs; familiarity with React or similar frameworks.
• 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.

Responsibilities

• Lead the migration from Airflow-based services to a 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, SLAs and data transfer.
• Oversee compute-resource allocation, server onboarding, and infrastructure-usage reporting.
• Build and maintain a Back tester GUI for 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 and on-the-fly option-series fitting with audit logging.
• Build the UI layer for an AI-powered paper-trading platform integrated with VAD data feeds.

Skills

Python

Java

C#

Angular

React

Kubernetes

Docker

Airflow

CI/CD

Education

Bachelor’s/Master’s/PhD in computer science or quantitative field

Tools

GLUE 42

Job description

Millennium seeks a quantitative software engineer in Hong Kong to lead data-system migrations and build scalable APIs and GUIs. You'll implement Kubernetes-based architectures, CI/CD practices, and robust data pipelines while supporting live trading tools and AI-powered features.

Collaboration across teams is essential for reliable, scalable infrastructure. The role emphasizes strong Python skills, frontend tooling experience, and familiarity with options/derivatives markets, with a focus on