Senior SaaS Cloud Capacity Engineer

Oracle is seeking a Senior SaaS Cloud Capacity Engineer to drive strategic capacity planning and optimization for their cloud infrastructure, with a focus on AI and MLOps workloads. This role combines deep technical expertise in cloud architecture with business acumen to ensure optimal performance and cost-efficiency of Oracle's SaaS services.

The position requires an experienced engineer who can bridge the gap between technical infrastructure and business objectives, working closely with SRE and Product Engineering teams to architect and optimize cloud capacity solutions. You'll be responsible for forecasting and scaling mission-critical workloads, with a particular emphasis on emerging AI and MLOps pipelines.

As a Senior SaaS Cloud Capacity Engineer, you'll leverage your expertise in cloud infrastructure, capacity planning, and cost optimization to drive efficiency while maintaining service reliability. The role demands strong analytical skills for complex modeling and exceptional communication abilities to translate technical concepts for various stakeholders.

Key focus areas include capacity engineering for AI/ML workloads, cost optimization, automation initiatives, and cross-functional collaboration. You'll work with cutting-edge technologies in Oracle's cloud infrastructure while contributing to the evolution of their SaaS capacity architectures.

The ideal candidate brings 10+ years of senior engineering experience, strong cloud platform knowledge (particularly Oracle OCI), and relevant AI/MLOps certifications. This role offers the opportunity to shape the future of Oracle's cloud infrastructure while working with emerging technologies in AI and machine learning.

Benefits include comprehensive healthcare, 401(k) with company match, flexible vacation, stock purchase plans, and professional development opportunities. Join Oracle's team to tackle exciting challenges in cloud infrastructure and AI/ML operations at enterprise scale.