Develop innovative AI and cloud-native applications within Oracle Cloud (OCI) and Oracle SaaS / PaaS environments.
Requirements
- Strong expertise in Python, including:
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- Debugging and refactoring large, complex codebases
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- Performance tuning and memory optimization
- Experience integrating and troubleshooting Generative AI / LLM frameworks, such as:
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- OCI Generative AI services
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- Vector databases / embeddings
- Hands-on experience with Docker and containerized application management
- Experience with Oracle Visual Builder Studio (VBS):
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- Automated build and deployment workflows
- Strong understanding of cloud-native architecture principles
- Familiarity with OCI services (Compute, Object Storage, Logging, Monitoring, IAM)
- Proven ability to analyze and resolve complex production issues
Responsibilities
- Lead development and support of Python-based cloud-native services running on OCI
- Debug, refactor, and optimize large, complex Python codebases in production
- Design, integrate, and troubleshoot LLM / Generative AI solutions, including:
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- LangChain-based workflows
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- Embeddings and vector stores
- Build, optimize, and maintain Docker images and manage containerized workloads
- Implement and support CI/CD pipelines using Oracle Visual Builder Studio (VBS)
- Ensure reliable deployments, rollbacks, and environment consistency
- Implement and enhance logging, monitoring, and alerting for production workloads
Other
- Lead our team in developing innovative AI and cloud-native applications.
- Collaborate with cross-functional teams to design, develop, and deploy scalable solutions.
- Perform root cause analysis and resolve incidents within SLA commitments
- Act as a technical escalation point for Production issues
- Mentor developers and establish coding, deployment, and support best practices
