SRE- Database Management/AI

• 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: Bachelor's or Master's 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