About the Role

The SaaS Tools and Innovation (TINNO) team is seeking a Senior Database Engineer (IC4) to design, build, and operate systems supporting SaaS license usage measurement, renewals insights, adoption tracking, and reporting. This role directly influences Oracle’s SaaS ecosystem by enabling actionable insights that drive renewals, customer success, and long-term product growth.

We are looking for an engineer with deep expertise in database and data engineering, combined with practical experience in Machine Learning (ML) and Generative AI, who can translate business and product requirements into scalable, production-ready solutions across multiple Oracle SaaS applications.

Qualifications 8+ years of professional experience in database engineering, data integration, and applied AI/ML. Strong proficiency in Oracle Database (SQL, PL/SQL) with proven design and optimization skills. Strong data engineering background, including ETL and streaming pipelines with multiple data sources. Hands-on experience deploying ML models and Generative AI solutions into production systems. Strong programming skills in Python or Java for integration, automation, and ML/AI workflows. Experience with distributed systems and cloud-native platforms (OCI, AWS, Azure). Ability to debug, optimize, and monitor complex cross-layer systems. Strong communication and collaboration skills with functional awareness to ensure technical outcomes align with business needs. Nice to Have Experience building APIs or services to expose ML/AI insights to applications. Familiarity with cloud-native AI/ML platforms (OCI AI/ML, AWS SageMaker, Azure ML). Contributions to automation, observability, or operational efficiency in SaaS or enterprise-scale systems. Experience integrating solutions across multiple Oracle SaaS or enterprise applications.