Senior Software Engineer 3 – Oracle Labs & Experiences (Oracle Labs)
Company: Oracle
Location: Location not specified (Remote)
Remote: Yes
Posted: 2026-01-31
About this role
Job Description
What you’ll do
- Design and build new Oracle-based labs and demos that showcase AI/ML, data, and application services through realistic, scenario-driven use cases (e.g., RAG pipelines, AI agents, or data ingestion workflows).
- Write production-grade code (Python, Bash, Terraform, SQL, etc.) to implement backend logic, automation, APIs, and orchestration used within labs.
- Develop interactive Markdown-based lab instructions, templates, and reusable modules that deliver a consistent, high-quality learner experience.
- Break down complex Oracle and AI concepts into clear, incremental steps that can be easily followed by users of varying technical skill levels.
- Prototype, deploy, and validate labs end-to-end—focusing on usability, reliability, performance, and documentation quality.
- Collaborate with product and field teams to align labs with new Oracle releases, GenAI platform features, and customer-requested topics.
- Build and maintain reference architectures and SDK examples that demonstrate integration of OCI GenAI Services, AI Vector Search, and Oracle Database.
- Participate in live demos, dry runs, and internal enablement to showcase labs and gather feedback from engineers and customers.
- Mentor junior Cloud Engineers and guide best practices for lab development, testing, and delivery.
Core focus areas
- Lab & Demo Development: Workshop authoring, event code setup, Terraform automation, OCI SDK integration, markdown-based instruction design.
- AI/GenAI Workloads: RAG pipelines, embeddings/vector search, agentic workflows, and GenAI API orchestration.
- OCI Services: Data Flow (Spark), Streaming/Kafka, Object Storage, Functions, OKE, AI Vector Search, IAM/Vault, and networking.
- Oracle Database Integration: Autonomous Database, JSON Duality Views, AI Vector Search, and data ingestion for AI workloads.
- Multi-Cloud & Partner Ecosystem: Familiarity with AWS, Azure, GCP, and NVIDIA AI/cloud offerings for comparative lab design ...