TensorWave is an AI cloud purpose-built for performance that delivers high-bandwidth, memory-optimized infrastructure powered exclusively by AMD Instinct GPUs for demanding training and inference workloads.
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We’re looking for a Staff Database Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for database architecture, database reliability, infrastructure-adjacent database platforms, performance engineering, observability, automation, operational maturity, incident response, and engineering leadership, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do DATABASE ARCHITECTURE & PLATFORM OWNERSHIP - Design and own database architecture for critical infrastructure and platform services, including PostgreSQL-backed internal platforms, Slurm accounting and operational databases, NetBox and infrastructure source-of-truth databases, custom internal applications and automation services, observability, inventory, and platform metadata systems, future database-backed control plane services. - Define standard database patterns for high availability, replication, failover, backup and restore, point-in-time recovery, performance baselining, capacity planning, upgrade lifecycle management, access control and operational security. - Establish database design standards for new internal platforms, including schema review, indexing strategy, query design, service ownership boundaries, and production readiness requirements. POSTGRESQL, MYSQL, AND DATABASE RELIABILITY - Operate and improve production database environments across PostgreSQL, MySQL, Percona, and adjacent systems. - Own the lifecycle of database systems, including provisioning, configuration, version upgrades, replication topology design, performance tuning, backup validation, disaster recovery testing, decommissioning, documentation and runbook creation - Troubleshoot and resolve production database issues involving query latency, lock contention, replication lag, storage I/O bottlenecks, connection exhaustion, poor indexing, schema design problems, database capacity constraints, backup or restore failures - Drive root cause analysis for database-related incidents and convert findings into durable engineering improvements. SLURM, NETBOX, AND INFRASTRUCTURE DATA SYSTEMS - Serve as the senior database engineering owner for infrastructure-adjacent database platforms, including Slurm and NetBox. - For Slurm environments, support and improve database architecture related to SlurmDBD, accounting data, job history, reporting queries, performance and retention strategy, database scaling, backup and recovery, long-term operational reliability - For NetBox and source-of-truth systems, support PostgreSQL performance, database lifecycle planning, backup and restore validation, data integrity, schema-impact review, integration patterns with automation systems - Partner with DevOps, Infrastructure, MLOps, and Platform Engineering teams to ensure database-backed systems are designed to scale as the environment grows. PERFORMANCE ENGINEERING & OBSERVABILITY - Build deep database observability beyond basic dashboards. - Develop and maintain visibility into query performance, execution plans, index usage, replication health, locking behavior, buffer/cache efficiency, storage latency, connection pool behavior, OS-level database bottlenecks - Use tools such as PostgreSQL native statistics, MySQL/Percona tooling, Prometheus, Grafana, PMM, Query logs, slow query logs, eBPF/BCC or equivalent low-level profiling tools, Linux performance tooling - Create performance baselines and alerting standards for critical database platforms. - Identify recurring database failure patterns and build preventive monitoring, automation, and operational guardrails. AUTOMATION, STANDARDS, AND OPERATIONAL MATURITY - Create database automation patterns that can be integrated with existing infrastructure tooling. - Partner with DevOps and Infrastructure Engineering to automate database provisioning, configuration standards, backup verification, health checks, replication checks, user and permission management, upgrade workflows, monitoring deployment, runbook-driven recovery procedures - Contribute database-specific modules, roles, or workflows to Ansible, CI/CD pipelines, or internal automation platforms where appropriate. - Define production database readiness standards for new services before they are promoted into critical environments. INCIDENT RESPONSE & ENGINEERING LEADERSHIP - Act as the technical lead for major database incidents. - Own or support triage, root cause analysis, cross-team coordination, customer or stakeholder impact analysis, postmortems, corrective action plans, long-term remediation - Mentor L4 and L5 engineers on database operations, SQL troubleshooting, HA design, incident response, and performance analysis. - Provide senior technical review for database-impacting changes across infrastructure and platform teams. Who You Are REQUIRED QUALIFICATIONS - 8+ years of production database engineering, database administration, or database architecture experience - Strong hands-on experience with PostgreSQL in production environments - Strong hands-on experience with MySQL, Percona, or equivalent relational database platforms - Experience designing and operating highly available database systems - Experience with replication, failover, backup, restore, and disaster recovery validation - Deep SQL performance tuning experience, including execution plan analysis, index design, query rewrite, schema optimization, lock contention troubleshooting, storage and I/O analysis - Stro