Database Reliability Engineer

• Deep hands-on experience with PostgreSQL in business-critical production environments, typically 5+ years.
• Strong understanding of PostgreSQL internals and operations including MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing.
• Proven experience with highly available databases and concepts like quorum, split-brain risk, failover, rollback, and recovery.
• Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting.
• Automation skills with Ansible and scripting; Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are advantages.
• Ability to support more than one database engine; willing to learn ClickHouse quickly and take responsibility.
• Practical use of AI engineering assistants such as Claude and Codex for improving speed and quality of SQL, commands, scripts, and operational conclusions.
• English proficiency: upper-intermediate or higher for effective communication.

Nice to have:

• ClickHouse operations including replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery.
• MongoDB replica sets and Percona Backup for MongoDB.
• Redis/Sentinel and broker/cache failure modes.
• Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks.
• Experience building internal platforms, self-service portals, or DBaaS workflows for engineering teams.

• Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation.
• Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans.
• Support the wider database estate: ClickHouse, MongoDB, and Redis by troubleshooting incidents, reviewing access and data-safety changes, and improving monitoring.
• Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata.
• Help build DBaaS-style self-service capabilities for engineering teams to request databases, access, credentials, and operational checks with less manual DBA intervention.
• Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, and Opsgenie routing; maintain clear communication during production issues.