Infra Developer: Kubernetes, CI/CD & AI Trading Platform

Millennium Management LLC; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Millennium Management LLC in Hong Kong seeks an Infra Developer to lead migration from Airflow to Kubernetes and to build scalable CI/CD pipelines. You will manage data flows, resource allocation, and live tooling for strategy analysis.

This role emphasizes front-end GUI work, AI integrations, and robust monitoring. The ideal candidate has 3+ years in quantitative finance environments, strong Python/Java/C#, and experience with Kubernetes, Docker, Airflow, and CI/CD practices.

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field.
• Minimum 3 years in quantitative/engineering/data-driven financial services.
• Strong Python/Java/C# and Angular skills.
• Experience with Kubernetes, Docker, Airflow and CI/CD.
• Experience building front-end tools or GUIs is a plus.

Responsibilities

• Migrate Airflow-based services to a Kubernetes-based architecture by data type.
• Build and maintain CI/CD pipelines with expanded test coverage.
• Manage data pipelines and SLAs with the data-warehouse team.
• Oversee compute resources, server onboarding, and usage reporting.
• Develop a Back tester GUI for strategy analysis and signal tracking.
• Create monitoring dashboards for production health and data quality.
• Design live-override tooling with audit logging for traceability.
• Build UI for an AI-powered paper-trading platform integrated with VAD feeds.

Skills

Python programming

Java

C#

Angular

Problem solving

Communication

Cross-functional collaboration

Education

Bachelor’s, Master’s, or PhD in CS/Engineering/Math/Physics

Tools

Kubernetes

Docker

Airflow

CI/CD

React

GLUE 42

Job description

Millennium Management LLC in Hong Kong seeks an Infra Developer to lead migration from Airflow to Kubernetes and to build scalable CI/CD pipelines. You will manage data flows, resource allocation, and live tooling for strategy analysis.

This role emphasizes front-end GUI work, AI integrations, and robust monitoring. The ideal candidate has 3+ years in quantitative finance environments, strong Python/Java/C#, and experience with Kubernetes, Docker, Airflow, and CI/CD practices.