Cloud Engineer

About the role

Cloud Engineer

Job Description

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

Core to the health and growth of our business, Millennium’s Information Technology organization supports a dynamic, multi-manager platform with flexible, scalable technology and advanced proprietary systems. The Google Cloud Engineering team builds and supports core cloud infrastructure in Google Cloud Platform, enabling modern engineering, automation, and cloud-native services across the firm.

Our Israel office is located in the Bursa area of Ramat Gan.

This role will be on-site.

As a global firm, proficiency in English is required.

What You'll Do

• Design and implement end-to-end cloud solutions in Google Cloud Platform that are scalable, reliable, and aligned with business and technology objectives

• Build, automate, and support core cloud infrastructure and dependent environments, with a hands-on focus on production-ready code and infrastructure operations

• Partner with infrastructure teams and collaborate with developers, data scientists, machine learning engineers, quantitative analysts, and portfolio managers as a technical SME and solutions architect

• Lead infrastructure initiatives from design through deployment and ongoing support, ensuring seamless integration, consistency, and strong performance across environments

• Integrate AI tools and agentic systems into the cloud environment, including improving response quality and supporting production AI workflows

• Deploy and support AI/ML models and related MLOps capabilities in cloud environments based on team and organizational needs

• Implement and maintain CI/CD pipelines, infrastructure as code, monitoring, logging, metrics, and alerting to improve operational efficiency and service uptime

• Strengthen platform security through audits, engineering best practices, and resilient controls, while contributing user-focused insights to improve internal and customer-facing solutions

What You Bring

• B.Sc. in Computer Science

• 4+ years of hands-on DevOps and/or MLOps experience designing, deploying, and supporting production cloud environments

• Strong cloud engineering expertise, including scalable multi-service architectures, complex networking, and production infrastructure design