SRE- Database ManagementAI

Key Responsibilities

• Operate and optimize Oracle Database and Exadata environments to meet stringent availability performance and scalability targets in 24x7 production.

• Lead database reliability engineering initiatives including HA design patterns capacity planning demand forecasting and performance analysis/system tuning.

• Deliver advanced performance tuning (SQL optimization indexing strategies configuration and storage tuning) and drive measurable improvements in latency throughput and stability.

• Design and maintain backup recovery and disaster recovery strategies; validate restore procedures and ensure readiness for mission-critical environments.

• Apply SRE best practices including defining SLIs/SLOs managing error budgets and improving incident response through post-incident reviews and durable corrective actions.

• Build automation and tools (Python/Shell/PowerShell) to eliminate toil reduce MTTR improve deployment reliability and prevent recurring incidents.

• Instrument and enhance observability using monitoring/APM stacks (e.g. Prometheus Grafana APM) to improve signal quality and reduce alert noise.

• Partner with engineering and architecture teams on service and database design data modeling decisions and system architecture improvements for distributed systems.

Qualifications & Skills

Mandatory

• Education: Bachelors or Masters degree in Computer Science Engineering or related field (or equivalent practical experience).

• Experience: 6 years in SRE Cloud Engineering DevOps Database Reliability or similar production-operations engineering roles.

• Oracle Database expertise: Expert hands-on experience with Oracle Database and Exadata administration high availability architectures and production operations.

• Performance tuning: Demonstrated capability in SQL tuning indexing strategies resource utilization analysis and system tuning for high-scale workloads.

• Backup/DR: Proven experience designing and operating backup recovery and disaster recovery solutions for 24x7 mission-critical systems.

• Automation/scripting: Strong hands-on proficiency in Python and/or Shell/PowerShell for automation tooling and operational workflows.

• Reliability & distributed systems: Solid understanding of cloud concepts distributed systems behaviors and SRE fundamentals (SLIs/SLOs incident response RCA).

• Operational excellence: Strong troubleshooting analytical thinking and clear communication skills; comfortable acting as an escalation point during critical incidents.

• Good-to-Have

• Cloud platforms: OCI preferred; AWS/Azure/GCP experience also valuable.

• IaC & configuration management: Terraform Ansible and Infrastructure-as-Code best practices.

• Containers: Kubernetes and Docker exposure in production environments.

• Observability depth: Experience with database observability APM tooling tracing and alert quality/noise reduction initiatives.

• AI familiarity: Exposure to LLMs RAG or AI agents (especially in operational tooling/automation contexts).

• Certifications: Oracle Database/Exadata OCI (or other cloud architect) SRE/DevOps-related certifications.

• Self-Assessment Questions

1. Have I owned production Oracle Database/Exadata environments and successfully improved availability or performance through concrete tuning or architecture changes

2. Can I confidently diagnose performance issues end-to-end (SQL indexing configuration storage and workload characteristics) and explain tradeoffs to stakeholders

3. Have I designed and validated backup/restore and DR processes (including regular testing) for systems that require 24x7 reliability

4. Do I routinely build automation in Python/Shell/PowerShell to reduce manual operational work improve MTTR or prevent recurring incidents

5. Am I comfortable applying SRE practices (SLIs/SLOs error budgets incident response RCA/postmortems) and driving improvements across teams

Career Level - IC3