Key Responsibilities:

Install, configure, upgrade, and patch Oracle database software (single instance and RAC environments). Administer and monitor database performance, capacity, and security using Oracle tools (OEM, Data Guard, RMAN, etc.). Implement and manage database backup/recovery procedures and disaster recovery strategies. Troubleshoot complex database, performance, and application-related issues. Plan and implement database migrations and upgrades. Automate routine database administration tasks using scripting (Shell, PL/SQL, Python, etc.). Develop and optimize database structures for AI workloads and analytics, enabling efficient data integration with AI/ML tools. Collaborate with data science, AI, and development teams to design and support AI-driven applications and analytics in Oracle environments. Implement and support Oracle features related to AI, such as Oracle Machine Learning (OML), and integrate with other AI/ML platforms as needed. Ensure data quality, security, and compliance in support of AI-driven automation and analytics initiatives. Maintain database documentation and adhere to security and compliance requirements. Mentor junior DBAs and provide 24x7 support for critical production systems as needed.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field. 5+ years’ experience as an Oracle DBA in mission-critical environments. Expertise in Oracle versions 12c/19c and experience with RAC and Data Guard. Strong knowledge of performance tuning, backup/recovery, and high availability. Experience working with AI/ML workflows, Oracle Machine Learning, or related analytics platforms. Proficient in SQL, PL/SQL, and Linux/Unix environments. Familiar with ITIL, change management, and incident management processes. Oracle Certified Professional (OCP) certification preferred.

Key Skills:

Oracle RAC, Data Guard, OEM Cloud Control Oracle Machine Learning (OML) or experience supporting AI/ML workloads RMAN backup and recovery Database performance tuning Scripting (Shell, Python, etc.) Security, compliance, and auditing best practices Familiarity with data pipelines and AI/ML model integration Strong communication and documentation skills