Design and build new Oracle-based labs and demos that showcase AI/ML, data, and application services through realistic, scenario-driven use cases.
Requirements
- 6+ years in software engineering or cloud development (Python, Go, Java, or similar).
- Hands-on experience developing on Oracle or another major cloud (AWS, Azure, GCP).
- Familiarity with Oracle Database or related data modeling.
- Expertise in Terraform, OCI CLI, and automation frameworks.
- Familiarity with AI/ML frameworks and pipelines (LangChain, Semantic Kernel, CrewAI, FAISS, Weaviate).
- Prior exposure to multi-cloud architecture or GPU platforms (AWS Bedrock, Azure AI, GCP Vertex AI, NVIDIA DGX/NGC).
- Professional level certifications (OCI Architect, AWS Solutions Architect, Azure Administrator, GCP Professional Cloud Engineer, NVIDIA Certified) strongly preferred.
Responsibilities
- 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.
- Prototype, deploy, and validate labs end-to-end —focusing on usability, reliability, performance, and documentation quality.
- Build and maintain reference architectures and SDK examples that demonstrate integration of Oracle 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.
Other
- BS in Computer Science, Engineering, or equivalent experience.
- Strong ability to build and demo technical solutions; confident in explaining technical workflows clearly and visually.
- Adaptability —comfortable learning new services, tools, and frameworks rapidly, and working across shifting priorities or adjacent domains.
- Experience building hands-on labs, workshops, or customer-facing technical enablement.
- Strong written communication and documentation skills (Markdown, GitHub, Confluence).
- Demonstrated success delivering repeatable, customer-ready labs or demos.
