Senior Systems Analyst - Database Admin/Automation/AI

Job Summary 

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.

Key Responsibilities

Manage, monitor, and optimize Oracle and Exadata databases to deliver high availability, scalability, and peak performance.

Design and implement automation for database maintenance, monitoring, incident resolution, and reporting using Python, Shell, or PowerShell.

Conduct performance tuning, including query optimization, index strategy, and database configuration fine-tuning.

Develop, validate, and maintain robust backup, recovery, and disaster recovery strategies for mission-critical environments.

Lead incident and problem management for complex database issues, performing deep root-cause analysis and implementing preventive controls.

Execute capacity planning, storage optimization, and resource utilization analysis to support business and application growth.

Collaborate with application, DevOps, and infrastructure teams to design efficient database architectures and contribute to data modeling discussions.

Promote continuous improvement by researching and adopting emerging technologies, automation frameworks, and performance engineering practices.

Qualifications & Skills

Mandatory

6+ years of hands-on experience in database administration, monitoring, automation, and performance engineering.

Expert-level experience in Oracle Exadata administration, including performance tuning, storage optimization, patching, and security.

Strong proficiency in high-availability database architectures (clustering, replication, Always On, DR solutions).

Deep understanding of SQL, indexing, query optimization, locking, transaction management, and DB internals.

Proven ability to troubleshoot complex database performance, reliability, and scalability issues.

Strong experience designing and implementing backup, recovery, and DR strategies.

Hands-on experience with scripting and automation (Python, Shell, PowerShell).

Ability to thrive in high-stakes, 24x7 operational environments with a proactive, solution-focused mindset.

Excellent communication and collaboration skills.

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.

Self-Assessment Questions

Candidates can use these questions to assess their fit for the role:

Have I administered and optimized Oracle Exadata environments at a deep, expert level—including performance tuning, storage optimization, and security?

Do I have at least 8 years of hands-on experience managing production databases with strong skills in monitoring, automation, and troubleshooting?

Can I design and implement robust high-availability, backup, recovery, and DR solutions in mission-critical 24x7 environments?

Am I proficient in SQL, query tuning, indexing strategies, and understanding database internals to solve complex performance issues?

Do I have strong scripting skills (Python/Shell/PowerShell) and experience building automation to improve efficiency and reduce errors?

Career Level - IC3