2 months ago
Base Salary
$105k - $235k/yr
Responsibilities
- Define the technical vision, architecture, and multiyear evolution of OCI’s AI-native developer platforms.
- Design and deliver secure, highly available services for large-scale distributed cloud environments.
- Architect systems for service-behavior analysis, traffic modeling, realistic workload generation, and functional and non-functional evaluation.
- Establish agent-assisted canary, functional, integration, load, and performance testing workflows with safety controls.
- Apply machine learning and LLM capabilities to telemetry, API changes, incidents, test results, and engineering knowledge.
- Develop approaches for failure diagnosis, regression detection, workload modeling, and converting incidents into reusable test coverage.
- Define platform APIs, data models, extension points, and integration patterns for adoption across OCI services.
- Set standards for scalability, reliability, observability, security, privacy, performance, and responsible AI.
- Define metrics and feedback loops for test effectiveness, traffic coverage, developer effort saved, reliability, and adoption.
- Provide hands-on technical leadership, mentor senior engineers, resolve cross-team architecture issues, and improve engineering practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- At least eight years of professional software engineering experience, including significant experience designing and operating large-scale production systems.
- Proficiency in one or more modern programming languages such as Java, Go, Python, or C++.
- Deep expertise in distributed systems, system design, APIs, concurrency, data modeling, and scalable service architectures.
- Experience defining architecture and delivering complex platforms, backend services, microservices, event-driven systems, or large-scale data pipelines.
- Experience developing and operating cloud-native software using containerization, orchestration, and infrastructure automation.
- Strong understanding of service reliability, observability, performance engineering, security, and production operations.
- Experience integrating machine learning, generative AI, or other intelligent capabilities into production software systems.
- Ability to lead high-impact technical initiatives across multiple teams, influence without direct authority, and navigate ambiguity.
- Strong technical judgment and communication skills for explaining architectural decisions to engineering, product, and executive stakeholders.
- Track record of mentoring senior engineers and improving practices across teams or organizations.
- Preferred experience with developer platforms, CI/CD systems, testing infrastructure, engineering productivity tools, machine learning, generative AI, LLMs, AI agents, retrieval-augmented generation, prompt engineering, LLM-as-a-judge approaches, or model evaluation.
- Preferred experience with PyTorch, TensorFlow, Hugging Face Transformers, traffic replay, workload modeling, canary analysis, load testing, performance testing, chaos engineering, Kubernetes, containers, service meshes, OCI, multi-tenant platforms, API schemas, service dependencies, production incidents, traffic patterns, AI safety controls, model monitoring, privacy, and secure enterprise data handling.
Benefits
- Comprehensive medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability insurance, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) Savings and Investment Plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
- The role generally accepts applications for at least three calendar days from posting or while the job remains posted.
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.