Senior SaaS Cloud Capacity Engineer
Oracle
Senior SaaS Cloud Capacity Engineer
Job Description
Overview
We are seeking a Senior SaaS Cloud Capacity Engineer to design, forecast, and optimize capacity for AI/ML pipelines, MLOps platforms, and agentic workloads on OCI. Leverage expertise in cloud topologies and automation to ensure reliable, cost-efficient scaling. Partner across teams to drive automation, reliability, and executive insights balancing growth with cost discipline.
Responsibilities
- Model and forecast dynamic workloads for AI/ML and agentic applications.
- Design scalable cloud topologies across compute, storage, and network.
- Optimize infrastructure performance and cost for OCI services.
- Develop automation and orchestration for capacity management.
- Translate complex architectures into actionable capacity strategies.
- Collaborate with product and engineering teams on reliability improvements.
- Deliver executive-level capacity insights and recommendations.
- Monitor and tune systems for emerging SaaS cloud workloads.
Qualifications
- 8+ years in cloud infrastructure, capacity planning, or SaaS engineering.
- Deep expertise in OCI, AWS, or Azure cloud topologies.
- Hands-on experience with AI/ML pipelines and MLOps platforms.
- Proficiency in workload modeling, forecasting, and performance tuning.
- Strong skills in automation tools (Terraform, Kubernetes, Ansible).
- Proven ability to deliver cost-optimized scaling strategies.
Benefits
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- 401(k) matching and employee stock purchase plan.
- Flexible remote work and unlimited PTO.
- Professional development stipend and conference budget.
Locations
- United States, United States
Salary
Skills Required
- Cloud topologies (compute, storage, network)intermediate
- Automation/orchestrationintermediate
- Modeling dynamic workloadsintermediate
- Tuning infrastructure for performanceintermediate
Required Qualifications
- Deep direct expertise in cloud topologies (compute, storage, network) (experience)
- Hands-on skill in modeling dynamic workloads (experience)
- Tuning infrastructure for performance (experience)
- Translating complex architectures into actionable capacity strategies (experience)
Responsibilities
- Design, forecast, and optimize SaaS cloud capacity for AI/ML pipelines, MLOps platforms, and emerging agentic workloads
- Leverage expertise in cloud topologies and automation/orchestration to ensure OCI services scale reliably and cost-efficiently
- Partner across product and engineering to drive automation, improve reliability, and deliver executive-level insights that balance growth with cost discipline
Benefits
- general: Health Insurance
- general: 401(k)
- general: Stock Options
- general: Flexible PTO
Answer 10 quick questions to check your fit for Senior SaaS Cloud Capacity Engineer @ Oracle.
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Senior SaaS Cloud Capacity Engineer
Oracle
Senior SaaS Cloud Capacity Engineer
Job Description
Overview
We are seeking a Senior SaaS Cloud Capacity Engineer to design, forecast, and optimize capacity for AI/ML pipelines, MLOps platforms, and agentic workloads on OCI. Leverage expertise in cloud topologies and automation to ensure reliable, cost-efficient scaling. Partner across teams to drive automation, reliability, and executive insights balancing growth with cost discipline.
Responsibilities
- Model and forecast dynamic workloads for AI/ML and agentic applications.
- Design scalable cloud topologies across compute, storage, and network.
- Optimize infrastructure performance and cost for OCI services.
- Develop automation and orchestration for capacity management.
- Translate complex architectures into actionable capacity strategies.
- Collaborate with product and engineering teams on reliability improvements.
- Deliver executive-level capacity insights and recommendations.
- Monitor and tune systems for emerging SaaS cloud workloads.
Qualifications
- 8+ years in cloud infrastructure, capacity planning, or SaaS engineering.
- Deep expertise in OCI, AWS, or Azure cloud topologies.
- Hands-on experience with AI/ML pipelines and MLOps platforms.
- Proficiency in workload modeling, forecasting, and performance tuning.
- Strong skills in automation tools (Terraform, Kubernetes, Ansible).
- Proven ability to deliver cost-optimized scaling strategies.
Benefits
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- 401(k) matching and employee stock purchase plan.
- Flexible remote work and unlimited PTO.
- Professional development stipend and conference budget.
Locations
- United States, United States
Salary
Skills Required
- Cloud topologies (compute, storage, network)intermediate
- Automation/orchestrationintermediate
- Modeling dynamic workloadsintermediate
- Tuning infrastructure for performanceintermediate
Required Qualifications
- Deep direct expertise in cloud topologies (compute, storage, network) (experience)
- Hands-on skill in modeling dynamic workloads (experience)
- Tuning infrastructure for performance (experience)
- Translating complex architectures into actionable capacity strategies (experience)
Responsibilities
- Design, forecast, and optimize SaaS cloud capacity for AI/ML pipelines, MLOps platforms, and emerging agentic workloads
- Leverage expertise in cloud topologies and automation/orchestration to ensure OCI services scale reliably and cost-efficiently
- Partner across product and engineering to drive automation, improve reliability, and deliver executive-level insights that balance growth with cost discipline
Benefits
- general: Health Insurance
- general: 401(k)
- general: Stock Options
- general: Flexible PTO
Answer 10 quick questions to check your fit for Senior SaaS Cloud Capacity Engineer @ Oracle.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs