Infra Developer

Millennium Consulting; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Millennium in Bengaluru seeks a highly skilled Quantitative Engineer for the Volatility Alpha Development team to migrate services from Airflow to Kubernetes and to build scalable data pipelines and GUI tools.

You will implement CI/CD, maintain a backtester UI, dashboards and live-override tooling, collaborating with data, software and research teams to deliver robust, production-grade systems.

Qualifications

• Bachelor's/Master's/PhD in CS, engineering, mathematics or physics.
• 3+ years in quantitative, engineering or data-driven financial services.
• Strong Python, with experience in Java, C#, and Angular.
• Hands-on with Kubernetes, Docker, Airflow and CI/CD.
• Frontend tools/GUI experience; React or GLUE 42 preferred.
• Knowledge of options/derivatives; AI/ML frameworks and backtesting valued.
• Excellent problem solving and communication in cross-functional teams.

Responsibilities

• Lead migration from Airflow to Kubernetes-based microarchitecture by data type.
• Build and maintain CI/CD pipelines and expand automated tests.
• Manage end-to-end data pipelines and data lifecycle with SLAs.
• Oversee compute resource allocation and infrastructure usage reporting.
• Develop a Back tester GUI for strategy analysis and signal tracking.
• Create dashboards for production health and data quality monitoring.
• Design live-override tooling with audit trails for traceability.
• Build UI for an AI-powered paper-trading platform integrated with VAD feeds.

Skills

Python

Java

C#

Angular

Problem solving

Communication

Collaboration

Education

Bachelor's/Master's/PhD in CS/Engineering/Math/Physics

Tools

Kubernetes

Docker

Airflow

CI/CD

React

GLUE 42

Job description

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums 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 Millenniums 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

• Bachelors, Masters, 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.