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Senior Database Reliability Engineer

Alex Staff

Senior 🇬🇧 English
PostgreSQL Patroni PgBouncer ClickHouse MongoDB Redis Ansible Terraform OpenTofu GitLab CI/CD Grafana Opsgenie Linux

Job description

About the role

We are looking for a Senior Database Reliability Engineer to own and improve the reliability of our production database services. This hands‑on role spans PostgreSQL, ClickHouse, MongoDB and Redis, with a focus on automation, incident response and reducing single‑person dependencies.

Key responsibilities

  • Design and operate high‑availability PostgreSQL clusters (Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, backups, PITR and restore validation).
  • Define and test disaster‑recovery procedures, document runbooks and set measurable RTO/RPO targets.
  • Troubleshoot incidents across the broader database estate (ClickHouse, MongoDB, Redis) and improve monitoring and access controls.
  • Automate DBA workflows using Ansible, Terraform/OpenTofu, GitLab CI/CD and custom scripts for provisioning, grants, backups, restores and health checks.
  • Build self‑service DBaaS capabilities so engineering teams can request databases and credentials with minimal manual intervention.
  • Enhance observability with Grafana dashboards, metrics, logs, SLOs, alert rules and Opsgenie routing.

Required profile

  • 5+ years of hands‑on experience managing PostgreSQL in production environments.
  • Deep understanding of PostgreSQL internals (MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups and PITR).
  • Strong Linux administration skills and a proven track record of incident response and automation.
  • Ability to quickly learn and safely operate ClickHouse, MongoDB and Redis.

Required skills

  • PostgreSQL
  • Patroni
  • PgBouncer
  • ClickHouse
  • MongoDB
  • Redis
  • Ansible
  • Terraform / OpenTofu
  • GitLab CI/CD
  • Grafana
  • Opsgenie
  • Linux

What we offer

  • Work on real production infrastructure that powers multiple products.
  • Direct impact on reliability, incident response and developer experience.
  • AI‑assisted engineering culture with automation, documentation and careful human verification.
  • Opportunities to shape DBaaS self‑service capabilities and reduce manual DBA workload.

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Published 1 month ago

Expires 1 week from now

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Alex Staff