Senior PostgreSQL Database Reliability Engineer
Cherry Bekaert
Senior PostgreSQL Database Reliability Engineer
Responsibilities:- Production PostgreSQL infrastructure across the full lifecycle: architecture, deployment, replication, monitoring, performance tuning, backup/recovery, and capacity planning
- Streaming replication and high-availability configurations that meet the uptime expectations of a regulated financial exchange
- Query and system-level performance analysis-diagnosing slow queries, optimizing execution plans, tuning shared_buffers, work_mem, and autovacuum, not just reading pg_stat output but knowing what to do about it
- Backup and disaster recovery strategy using tools like Barman, including point-in-time recovery testing and validation
- Data architecture evolution: modernizing data warehouse and reporting infrastructure, building ETL pipelines, and designing data flows that scale with the business
- Data services across the organization: test data management, data obfuscation, data modeling, and supporting data needs for development, QA, and business teams
- Operational support including on-call rotation for after-hours production database emergencies
- 5+ years hands-on PostgreSQL administration in production environments-not just dev/test, not just managed RDS
- Deep understanding of PostgreSQL internals: WAL mechanics, MVCC, vacuum processing, the query planner and optimizer, connection handling, and lock management
- Proven experience with physical and logical replication: setup, monitoring, failover, and troubleshooting split-brain scenarios
- Strong SQL performance tuning skills: reading EXPLAIN ANALYZE output, identifying indexing strategies, understanding join algorithms, and resolving locking contention
- Solid Linux systems administration (we run Ubuntu)-comfortable with systemd, filesystem performance, memory management, and networking fundamentals
- Experience with backup/recovery tools (Barman, pgBackRest, or equivalent) and tested disaster recovery procedures
- Experience building and maintaining ETL pipelines and data transformation processes
- Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field
Vacancy posted 3 days ago
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