Oracle-posted 4 days ago
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees

At Oracle Cloud Infrastructure (OCI), we are building the core cloud services that power modern enterprise applications. The Generative AI Service team focuses on building and scaling systems that enable Large Language Models (LLMs) and agent-based AI applications to run reliably and efficiently in production environments. We work closely with product, infrastructure, and research teams to develop the backbone of Oracle’s next-generation AI services. If you are excited about working on cutting-edge AI infrastructure and learning from experienced engineers and scientists, this is a great opportunity to contribute to a fast-growing area within OCI. Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing and maintaining components of our LLM-serving and agentic AI infrastructure. You will work with other senior engineers to implement scalable services, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering.

  • Contribute to backend services that support LLM inference and agent execution.
  • Write clean, maintainable, and testable code in languages such as Python, Go, or Java.
  • Participate in code reviews, design discussions, and cross-team collaboration.
  • Assist in deploying and monitoring services using modern cloud-native tools.
  • Learn and apply best practices for building reliable and performant distributed systems.
  • BS in Computer Science or a related technical field.
  • 3+ years of software development experience in backend or cloud environments.
  • Proficiency in one or more programming languages: Python, Go, Java, or C++.
  • Familiarity with REST APIs, microservices, and cloud-native architectures.
  • Experience with CI/CD workflows and container-based deployments (e.g., Docker, Kubernetes).
  • MS in Computer Science or related field.
  • Exposure to AI/ML infrastructure or LLM serving technologies.
  • Interest in distributed systems, observability, and scalability challenges.
  • Willingness to learn from senior engineers and contribute to high-impact projects.
  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • 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 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.
  • 11 paid holidays
  • 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.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance
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