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