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Consultant Member of Technical Staff (GenAI Platform)
Consultant Member of Technical Staff (GenAI Platform)Oracle • Seattle, WA, United States
Consultant Member of Technical Staff (GenAI Platform)

Consultant Member of Technical Staff (GenAI Platform)

Oracle • Seattle, WA, United States
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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.

We are seeking an experienced and passionate Senior Principal Software Developer with a strong background in backend development, machine learning, and AI / GenAI, to play a leading role in the design, development, and deployment of next-generation GenAI Platform. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI capabilities to Oracle Cloud customers. Your expertise will ensure the security, scalability, and performance of our systems, driving forward OCI’s mission to deliver intelligent cloud experiences.

We are seeking an experienced Consulting Member of Technical Staff / Senior Principal Software Developer with a robust background in backend engineering, AI / ML, and large-scale cloud systems, to lead the development of next-generation GenAI analytics solutions. In this role, you will :

  • 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 striking right balance between consistency, availability, and performance.
  • Architect concurrent, multi-region topologies on OCI, designing and deploying service stacks across two or more regions to ensure high availability and optimal performance.
  • Build production-grade MLOps workflows leveraging internal OCI tools and platform (OCI Data Science, Data Integration Service enabling reproducible training pipelines, model fine-tuning and registry, and CI / CD-based deployment strategies (Functions or OKE) with progressive rollout capabilities.

This is a highly impactful role where you will collaborate cross-functionally, shape critical backend and ML architecture decisions, and drive innovation in AI-powered analytics on the Oracle Cloud. If you thrive on big challenges and want to help define the future of cloud intelligence, we would love to meet you.

Basic 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 / Scala, with a proven track record of delivering production-quality solutions.
  • Deep hands-on expertise 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 (., 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.
  • Proven ability to drill into code, resolve complex technical challenges, and actively contribute to problem resolution in high-impact projects.
  • 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.
  • As a Consulting Member of Technical Staff, you will lead the definition and evolution of cloud scale services using a distributed microservices based architecture. You will define software development best practices within your organization to develop and deploy high quality software at a rapid pace. You will identify business KPIs for your software and iteratively build impactful solutions that solve hard customer problems. You will be responsible for hands-on software design, development, and debugging in a cloud native environment.

    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 : $96,800 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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