Senior Database Administrator

·       End-to-End Ownership: Design, deploy, and manage high-performance databases (SQL + NoSQL) powering cloud ecosystems.

·       Customer-First Reliability: Ensure 24×7 uptime and low-latency access for customer-facing workloads; establish proactive monitoring and failover systems.

·       AI-Native Automation: Implement AI-driven query optimization, anomaly detection, and predictive scaling using performance telemetry.

·       Performance & Optimization: Continuously tune schema, indexing, and query design to achieve sub-second responses and minimal cost per transaction.

·       Security & Compliance: Manage encryption, secrets, access control, and data integrity across multi-cloud environments; enforce least-privilege and zero-trust policies.

·       Disaster Recovery & Backups: Design automated backup, replication, and restore workflows with near-zero data loss objectives.

·       Cross-Functional Collaboration: Work with Cloud, Firmware, and AI teams to align data models, telemetry ingestion, and analytics pipelines.

·       Documentation & Learning: Maintain clear, living documentation and share knowledge to improve organizational resilience.

·       15+ years managing production databases at scale (PostgreSQL, MySQL, MongoDB, or similar).

·       Deep understanding of indexing, replication, partitioning, and sharding in distributed systems.

·       Proven experience with AWS RDS / DynamoDB / Cassandra or GCP equivalents.

·       Strong in SQL tuning, query plan analysis, and capacity planning for high-concurrency workloads.

·       Hands-on with infrastructure-as-code (Terraform, Ansible) and CI/CD integration for DB changes.

·       Familiarity with IoT telemetry or event-driven architectures (Kafka, MQTT, TimescaleDB).

·       Solid grounding in data security and privacy best practices (encryption, RBAC, audit logs, GDPR).

·       Bias for action, clarity, and customer empathy: you care deeply about what your uptime means to someone using the product.