As a member of the Support organization, your focus is to deliver post-sales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales non-technical customer inquiries via phone and electronic means, as well as, technical questions regarding the use of and troubleshooting for our Electronic Support Services. A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues.

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This role combines database management and development responsibilities. The candidate will design, maintain, and optimize databases while also developing automation scripts, tools, and integrations to improve system performance and reliability. The role requires strong expertise in Oracle Database, proficiency in scripting or programming languages (such as Python, Shell), and a solid understanding of performance tuning, backup strategies, and DevOps practices. A technically versatile professional who can manage databases efficiently while contributing to development and automation initiatives.

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Career Level - IC3

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Key Responsibilities

Manage, monitor, and optimize Oracle and Exadata databases to deliver high availability, scalability, and peak performance.
Design and implement automation—including AI-driven solutions—for database maintenance, real-time monitoring, incident resolution, and reporting using Python, Shell, or PowerShell.
Leverage AI and machine learning algorithms to predict potential performance bottlenecks, proactively identify anomalies, and enhance database health monitoring.
Conduct performance tuning, including query optimization, index strategy, and configuration fine-tuning, with AI-powered recommendations for continuous improvement.
Develop, validate, and maintain robust backup, recovery, and disaster recovery strategies for mission-critical environments, incorporating AI for automated validation and risk detection.
Lead incident and problem management for complex database issues, performing deep root-cause analysis with AI-assisted diagnostics and implementing preventive controls.
Execute capacity planning, storage optimization, and resource utilization analysis with AI-based forecasting to support business and application growth.
Collaborate with application, DevOps, and infrastructure teams to design efficient database architectures and contribute to data modeling discussions, using AI-driven data analysis where applicable.
Promote continuous improvement by researching and adopting emerging technologies, including AI and automation frameworks, and implementing advanced performance engineering practices.

Qualifications & Skills

Mandatory

6+ years of hands-on experience in database administration, monitoring, automation, AI-driven analytics, and performance engineering.
Expert-level experience in Oracle Exadata administration, including performance tuning, storage optimization, patching, security, and integration of AI tools for proactive monitoring and predictive maintenance.
Strong proficiency in high-availability database architectures (clustering, replication, Always On, DR solutions), leveraging AI-powered solutions for fault detection and recovery.
Deep understanding of SQL, indexing, query optimization, locking, transaction management, and database internals, with experience using AI algorithms for anomaly detection and advanced query tuning.
Proven ability to troubleshoot complex database performance, reliability, and scalability issues, utilizing AI-assisted diagnostics and automated root cause analysis.
Strong experience designing and implementing backup, recovery, and DR strategies, including AI-enhanced risk assessment and automated validation.
Hands-on experience with scripting, automation (Python, Shell, PowerShell), and incorporating AI/ML frameworks to optimize operations and reporting.
Ability to thrive in high-stakes, 24x7 operational environments with a proactive, AI-enabled, solution-focused mindset.
Excellent communication and collaboration skills, with experience in cross-functional teams adopting emerging AI and automation technologies.

Good-to-Have

Exposure to cloud-based database solutions (OCI, AWS, Azure).

Knowledge of DevOps practices, CI/CD, and Infrastructure-as-Code (Terraform, Ansible).

Experience with data modeling or supporting application development teams.

Certifications in Oracle Database, Exadata, or Cloud technologies.

Experience with database observability and APM tools.