Senior SaaS Cloud Capacity Engineer (Montgomery)

Job Posting

What You'll Do + Capacity Engineering Act as a strategic capacity partner, immersing in the end-to-end architecture and performance of SaaS production services. Ensure mission-critical workloadsincluding emerging agentic AI and MLOps pipelinesare forecasted, scaled, and optimized for OCI cloud capacity at enterprise scale.

Cost Engineering Translate SaaS capacity architectures into cost models that improve efficiency year over year. Partner with Cost Engineers to drive down infrastructure margins while enhancing reliability, producing actionable forecasts and executive-level insights.

AI / MLOps & Automation Apply deep knowledge of AI, MLOps, and orchestration to streamline operations, eliminate technical debt, and propose automation opportunities. Collaborate with AI / ML Ops and data engineering teams to evolve architectures, enhance scalability, and influence future OCI feature sets.

Run-the-Business Support Deliver detailed capacity roadmaps that define tuning, scaling, and demand characteristics. Communicate inflection points and future requirements to the Cloud Capacity Run-the-Business organization for seamless planning.

Technical Expertise Leverage a strong foundation in cloud capacity topologies (compute, storage, network) to identify dependencies and drive service reliability improvements. Prior experience across DB, middleware, containers, or networking is valuable in translating complex architectures into capacity supply requirements.

Cross-Team Collaboration Engage confidently across all levels of the organization, from ICs to executives, as a trusted advisor on SaaS capacity. Present data-driven insights with clarity and executive presence.

Curiosity & Breadth Approach services with professional curiosity, exploring APIs, profiling workloads, and analyzing anomalies to anticipate demand and performance needs.

Your Experience + Bachelor's degree in Computer Science or related field; Master's preferred + Relevant Cloud MLOps / AI certifications (e.g., AWS ML Specialty, GCP ML Engineer, Azure AI, NVIDIA MLOps, Linux Foundation MLOps Practitioner) + 10+ years senior engineering experience across one or more domains : databases (Oracle DB preferred), virtualization / middleware, container orchestration, networking, or monitoring / observability + Proven expertise in forecasting, scaling, and cost-optimizing capacity for AI / ML and MLOps workloads, including dynamic and agentic workloads, across hybrid and cloud environments + Strong knowledge of Oracle OCI cloud services + Advanced analytical skills with experience building and interpreting complex models (Excel or equivalent) + Exceptional communication and stakeholder-management skills; ability to translate engineering into executive-ready narratives + Experience driving initiatives in fast-paced, dynamic, cross-functional environments

Responsibilities + Partner with SRE and Product Engineering on shared ownership of SaaS services, ensuring reliability, security, scale, and performance across OCI. + Forecast, design, and optimize capacity for AI / ML pipelines, MLOps platforms, and emerging agentic workloads; model dynamic demand and define scaling strategies. + Translate complex product architectures into capacity and cost models, aligning infrastructure with SaaS business priorities. + Drive automation and orchestration initiatives to reduce technical debt, accelerate delivery, and enhance service resiliency. + Serve as an escalation point for complex, cross-stack issues, leveraging deep knowledge of service topology and dependencies. + Collaborate with development teams to evolve SaaS Capacity architectures, propose cloud feature enhancements, and guide the addition of new capabilities to the Oracle Cloud portfolio. + Deliver clear communication of scale, capacity, performance, and cost characteristics to stakeholders, from engineers to executives. + Apply professional curiosity to explore APIs, workload profiles, and anomalies, turning insights into capacity and reliability improvements.

Disclaimer : Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US : Hiring Range in USD from : $104,200 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following : 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee / Spouse / Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off : Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave : 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5

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