# Staff Database Engineer at TensorWave

> Remote · region unclear · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Atensorwave%3A05cf7bbf-7dfc-475d-96fe-fd4da15a2564 (read 2026-11-04).

## Facts (observed)

- Company: [TensorWave](https://alderhq.app/companies/tensorwave)
- Location text: Remote
- Where it can be done from (inferred): Remote · region unclear (evidence: "Remote, region not stated")
- Posted: 2026-06-04 (153 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/tensorwave/05cf7bbf-7dfc-475d-96fe-fd4da15a2564
- Skills listed (inferred): PostgreSQL, MySQL

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Atensorwave%3A05cf7bbf-7dfc-475d-96fe-fd4da15a2564 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.