Cloud Computing Engineer

JOB TITLE Cloud Compute Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Design, build, and operate Kubernetes clusters on Amazon EKS, including cluster lifecycle management, networking, autoscaling, and workload scheduling. Manage and optimize EC2-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis. Operate and improve ECS-based services where applicable, ensuring consistency across our container runtime environments. Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage compute resources at scale. Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices. Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet. Contribute to architectural decisions around workload placement, multi-tenancy, OS image and container lifecycle, and compute isolation strategies. WHAT'S REQUIRED Bachelor's degree in Computer Science, Engineering, or a related field. 5 to 10 years of strong hands-on experience with designing, configuring and operating Kubernetes in production, ideally on Amazon EKS, including familiarity with cluster operations, package management, autoscaling, service meshes, and observability tooling. Deep knowledge of other AWS compute and container services, particularly EC2 and ECS. Proficiency in Infrastructure as Code with Terraform. Experience with software development in Python. Solid understanding of Linux systems, container runtimes, and networking fundamentals. Familiarity with CI/CD pipelines and GitOps workflows for infrastructure and application delivery. Strong grasp of cloud security principles, including IAM, network segmentation, and secrets management. Experience with other cloud platforms such as Azure or Google Cloud Platform a plus. Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE