Oracle
Consultant Member of Technical Staff (GenAI Platform)
Oracle, Redwood City, California, United States, 94061
Consultant Member of Technical Staff (GenAI Platform)
Join to apply for the
Consultant Member of Technical Staff (GenAI Platform)
role at
Oracle
Overview At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start‑up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers.
Responsibilities
Design and implement comprehensive automation pipelines for infrastructure, security, and compliance, enabling seamless policy enforcement throughout the product lifecycle.
Architect concurrent, multi‑region topologies on OCI, designing and deploying service stacks across two or more regions to ensure high availability and optimal performance.
Design, implement and optimize large‑scale analytics pipelines and underlying infrastructure on top of large relational and non‑relational data stores, balancing consistency, availability, and performance.
Build production‑grade MLOps workflows leveraging OCI tools and platform, enabling reproducible training pipelines, model fine‑tuning, registry, and CI/CD‑based deployment strategies.
Collaborate cross‑functionally, shape critical backend and ML architecture decisions, and drive innovation in AI‑powered analytics on the Oracle Cloud.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Minimum 10 years of hands‑on software engineering experience, including direct responsibility for designing, building, and operating large‑scale backend, data, and infrastructure systems.
Extensive programming and coding expertise in Java, Python, or Scala, with a proven track record of delivering production‑quality solutions.
Deep hands‑on experience with a major cloud platform (OCI, AWS, GCP, Azure), and proficiency with containerization technologies (Docker, Kubernetes).
Demonstrated experience architecting, implementing, and operating secure, scalable, and highly available cloud‑based infrastructures (Oracle Cloud Infrastructure preferred).
Direct, practical experience deploying and optimizing CI/CD pipelines, automation tools, and infrastructure as code (e.g., Terraform, Ansible).
Solid understanding of DevOps/ML Ops practices, including hands‑on involvement in building, deploying, and managing analytics/ML models in production.
Proven ability to design, evolve, and maintain RESTful APIs (OpenAPI/Swagger).
Good knowledge of RDBMS, query optimization, and NoSQL data stores.
Effective communication and collaboration skills, with the ability to mentor others while remaining involved in implementation activities.
Preferred Qualifications
Master’s or higher degree in Computer Science or a related field.
12+ years of professional experience in cloud infrastructure, backend engineering, DevOps, or ML Ops roles.
Recognized certifications in cloud computing, security, or DevOps methodology.
Demonstrated experience operating and optimizing large‑scale analytics workloads (Spark, Data Flow, Autonomous Data Warehouse, Object Storage).
Track record of building production‑grade MLOps workflows and deploying ML/AI models at scale.
Experience designing secure, automated, and compliant infrastructure in regulated environments.
Advanced coding skills in Python and Java, plus experience with distributed computing frameworks (Spark, Hive).
Prior roles supporting major production systems, operations, cloud support, or similar high‑availability domains.
Strong knowledge of cloud platform (AWS, OCI, Azure) architectures and operational best practices.
Deep understanding of data structures, algorithms, and software engineering best practices.
Experience in progressive rollout strategies and driving the technical vision for AI‑powered analytics solutions.
Benefits
Medical, dental, and vision insurance, including expert medical opinion
Short‑term and long‑term disability insurance
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre‑tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible vacation and accrued vacation details
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Legal Statements Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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Consultant Member of Technical Staff (GenAI Platform)
role at
Oracle
Overview At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start‑up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers.
Responsibilities
Design and implement comprehensive automation pipelines for infrastructure, security, and compliance, enabling seamless policy enforcement throughout the product lifecycle.
Architect concurrent, multi‑region topologies on OCI, designing and deploying service stacks across two or more regions to ensure high availability and optimal performance.
Design, implement and optimize large‑scale analytics pipelines and underlying infrastructure on top of large relational and non‑relational data stores, balancing consistency, availability, and performance.
Build production‑grade MLOps workflows leveraging OCI tools and platform, enabling reproducible training pipelines, model fine‑tuning, registry, and CI/CD‑based deployment strategies.
Collaborate cross‑functionally, shape critical backend and ML architecture decisions, and drive innovation in AI‑powered analytics on the Oracle Cloud.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Minimum 10 years of hands‑on software engineering experience, including direct responsibility for designing, building, and operating large‑scale backend, data, and infrastructure systems.
Extensive programming and coding expertise in Java, Python, or Scala, with a proven track record of delivering production‑quality solutions.
Deep hands‑on experience with a major cloud platform (OCI, AWS, GCP, Azure), and proficiency with containerization technologies (Docker, Kubernetes).
Demonstrated experience architecting, implementing, and operating secure, scalable, and highly available cloud‑based infrastructures (Oracle Cloud Infrastructure preferred).
Direct, practical experience deploying and optimizing CI/CD pipelines, automation tools, and infrastructure as code (e.g., Terraform, Ansible).
Solid understanding of DevOps/ML Ops practices, including hands‑on involvement in building, deploying, and managing analytics/ML models in production.
Proven ability to design, evolve, and maintain RESTful APIs (OpenAPI/Swagger).
Good knowledge of RDBMS, query optimization, and NoSQL data stores.
Effective communication and collaboration skills, with the ability to mentor others while remaining involved in implementation activities.
Preferred Qualifications
Master’s or higher degree in Computer Science or a related field.
12+ years of professional experience in cloud infrastructure, backend engineering, DevOps, or ML Ops roles.
Recognized certifications in cloud computing, security, or DevOps methodology.
Demonstrated experience operating and optimizing large‑scale analytics workloads (Spark, Data Flow, Autonomous Data Warehouse, Object Storage).
Track record of building production‑grade MLOps workflows and deploying ML/AI models at scale.
Experience designing secure, automated, and compliant infrastructure in regulated environments.
Advanced coding skills in Python and Java, plus experience with distributed computing frameworks (Spark, Hive).
Prior roles supporting major production systems, operations, cloud support, or similar high‑availability domains.
Strong knowledge of cloud platform (AWS, OCI, Azure) architectures and operational best practices.
Deep understanding of data structures, algorithms, and software engineering best practices.
Experience in progressive rollout strategies and driving the technical vision for AI‑powered analytics solutions.
Benefits
Medical, dental, and vision insurance, including expert medical opinion
Short‑term and long‑term disability insurance
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre‑tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible vacation and accrued vacation details
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Legal Statements Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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