Principal Member of Technical Staff
Oracle
2 - 5 years
Bengaluru
Posted: 29/01/2026
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Job Description
Responsibilities:
Experience: 7+yrs
- Help drive next-generation AI capabilities, with a focus on microservices, using Oracle standard tools, technology and development practices along with leading open-source frameworks
- Drive complex areas and do a detailed design of some components.
- Work directly with architects to ensure new capabilities are built with right design principles
- Work with remote and geographically distributed teams to develop and operate complex cloud systems including participation in on-call rotation and related operational activities
- Be very technically hands-on developing software and cloud infrastructure
- Own/drive key end-to-end product/services
- Ready to learn and jump into new areas and domains
- Recruit and mentor other engineers to support overall org growth objectives
Qualifications:
- BS/MS/PhD in Computer Science or equivalent related fields
- Proven experience designing, implementing, and operating large scale cloud services
- Strong proficiency in Java, Python and related technologies
- Cloud development experience on one of the major platforms (Oracle, AWS, Azure, GCP)
- Solid understanding of networking concepts, security principles, and best practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems
- Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus).
- Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
- Strong communication skills, with the ability to work effectively in cross-functional teams
- AI/ML experience (highly desired):
- Experience building and operating Generative AI, Agentic, and/or RAG systems
- Familiarity with latest open-source AI models/frameworks (Llama, LangGraph, etc)
- Understanding and experience with ML Ops and related tooling / infrastructure
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