Staff Database Engineer

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.

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.

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.

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.

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.

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