Senior Database Reliability Engineer

Your Responsibilities:

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. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. 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 so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues.

What Success Looks Like:

PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures.
Repeated DBA tickets become automation or self-service workflows.
ClickHouse operational knowledge is no longer a single-person dependency.
Database incidents have owners, runbooks, evidence, and measurable recovery paths.
Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability.

Requirements

What We Expect From You:

Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth.
Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing.
Proven experience with highly available databases and the ability to reason about 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 strong advantages.
Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it.
Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions.
English - upper-intermediate or higher - to ensure clear communication of progress within the teams.