Senior PostgreSQL Database Reliability Engineer

Cherry Bekaert • Tysons, VA

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About The Position

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 Skills, Knowledge and Expertise Required 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 IND4

Requirements

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees