> Markdown version of [/jobs/ext/4034699-senior-database-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/4034699-senior-database-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Database Reliability Engineer

- **Company:** RECRUITER LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $220,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Amazon Web Services, Cloud Engineering, Databases, Data Architecture, Extract Transform Load (ETL), Data Recovery, Data Systems, Disaster Recovery, Failover, PostgreSQL, Operational Databases, Performance Tuning, Query Optimization, Reliability Engineering, System Availability, Database Performance, Indexer, Infrastructure as Code (IaC), Amazon Relational Database Service, Data Management, Terraform
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-database-reliability-engineer--33cf214a-f75a-4ad4-b47f-ae07424de276

## About the Role

Reliability Engineering, Database Programming, Reliability Engineering, Amazon Web Services (AWS), PostgreSQL, Database Programming, Replication and Remote Mirroring, Disaster Recovery, High Availability, Amazon Relational Database Service (RDS), * 5+ years of experience managing and optimizing PostgreSQL databases in production environments.

 * Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.
 * Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability architecture.
 * Strong analytical and troubleshooting skills involving slow queries, execution plans, locks, deadlocks, and database bottlenecks.
 * Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.
 * Strong attention to clear, proactive written and verbal communication.
 * Ability to work independently while collaborating effectively within a remote team., * Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.
 * Familiarity with Infrastructure as Code (IaC), including Terraform.
 * Familiarity with CI/CD pipelines.
 * Experience with cloud-native service environments.
 * Exposure to modern data architectures.
 * Experience with advanced database and infrastructure monitoring tools.

Core Technical Skills

PostgreSQL
AWS RDS
Aurora PostgreSQL
Database Reliability Engineering
High Availability
Large-Scale Databases
Database Performance Optimization
Query Optimization
Query Execution Plans
Indexing
Partitioning
Replication
Backup & Recovery
Disaster Recovery
Failover
Locks & Deadlocks

## Description

We are seeking a Senior Database Reliability Engineer to play a central role in architecting, optimizing, and maintaining the stability of mission-critical PostgreSQL database environments.

In this role, you will use deep expertise in PostgreSQL, AWS RDS, Aurora PostgreSQL, database high availability, replication, disaster recovery, and performance optimization to build and maintain robust data systems at scale.

This is an opportunity for an experienced database engineer who is passionate about database reliability, high-availability architecture, performance engineering, and large-scale cloud-native infrastructure and who can thrive in a collaborative, fast-paced, remote environment., * Design, implement, and manage highly available and resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

 * Optimize database performance by analyzing query execution plans, tuning indexes, and implementing advanced partitioning strategies.
 * Ensure disaster recovery readiness through robust backup, replication, recovery, and failover processes.
 * Diagnose and resolve slow queries, database locks, deadlocks, and complex performance bottlenecks affecting large-scale databases.
 * Automate routine database maintenance tasks and promote operational excellence across database environments.
 * Support database reliability and performance as applications and workloads scale.
 * Collaborate cross-functionally on new features, data migrations, and application scaling initiatives.
 * Maintain comprehensive technical documentation.
 * Communicate clearly and proactively with technical and cross-functional teams., The hiring process utilizes artificial intelligence tools to assist with candidate screening and assessment. These tools are designed to complement, not replace, human decision-making.