Lead SRE

Responsibilities:

• Own end-to-end reliability, availability, and performance of the DBaaS platform.
• Define and enforce SLIs, SLOs, and SLAs across all supported database engines.
• Lead production incident response (P1/P2), RCAs, and long-term resilience improvements.
• Drive error budget governance with Engineering and Product teams.
• Hyperscaler-Level Operational Excellence.
• Bring RDS/Cloud SQL/Azure SQL Managed Instance operational patterns into the platform.
• Implement automation-first operations (self-healing, auto-remediation, failover orchestration).
• Standardise HA/DR architectures across multi-region deployments.
• Improve backup reliability, replication integrity, and failover predictability.
• Partner with Product Engineering for deep database engine-level debugging.
• Troubleshoot complex performance bottlenecks (IO, CPU, locking, replication lag).
• Support root cause analysis involving cloud infrastructure, storage, networking, and database internals.
• Influence platform architecture for operability and reliability.
• Build unified observability across DBaaS (metrics, logs, traces).
• Define golden signals for database reliability.
• Improve proactive anomaly detection and capacity forecasting.
• Drive chaos testing and resilience validation practices.
• Lead reliability automation (runbooks code).
• Improve provisioning, patching, upgrading, and scaling reliability.
• Standardise configuration management and drift detection.
• Enhance security posture aligned to enterprise compliance needs.
• Champion SRE best practices across engineering teams.
• Establish production readiness review frameworks.
• Define release reliability gates for DBaaS components.
• Mentor junior SREs and build a reliability-first culture.

Requirements:

• Cloud Platforms (Mandatory - Multi-Cloud Preferred).
• Deep hands-on experience with: AWS RDS / Aurora, Azure SQL MI / Azure Database Services, GCP Cloud SQL / AlloyDB.
• Strong understanding of cloud networking, storage, IAM, and HA architectures.
• Strong operational knowledge of: Oracle, PostgreSQL, MySQL, SQL Server.
• Experience handling large-scale production databases (TB+ workloads).
• Performance tuning, replication troubleshooting, and backup recovery validation.
• Strong scripting: Python / Bash / Go.
• Infrastructure as Code (Terraform / ARM / CloudFormation).
• CI/CD pipelines and release automation.
• Observability stack (Prometheus, Grafana, ELK, Datadog, etc. ).
• Kubernetes exposure preferred.
• 10+ years overall experience, 5+ in SRE/Platform roles.
• Prior experience in hyperscaler environments or cloud-native SaaS products.
• Strong incident leadership and executive communication skills.
• Ability to influence cross-functional stakeholders.
• Experience building and leading SRE teams preferred.