Cloud Engineer

Cloud Engineer

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
Proficiency in Python and solid programming experience in Go or Java
Deep experience with CI/CD pipelines, observability, and automation, including tools such as GitLab CI or Jenkins
Strong command of Infrastructure as Code and configuration management tools such as Terraform, Ansible, and Helm, along with Linux administration and network troubleshooting
Understanding of cloud security principles and experience working with cloud networking components such as routing, DNS, VPCs, proxies, and load balancers
Strong communication, troubleshooting, and collaboration skills; experience working with customers and cross-functional teams; proficiency in English is required