PostgreSQL DBA

DBA Engineer II

Location: Phoenix, AZ – Day 1 onsite – min 3 days Office.

Duration: 12 months

In-person interview: Yes - Mandatory

Key Responsibilities

· Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.

· Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents.

· Manage and resolve production incidents using established Incident Management processes.

· Perform root cause analysis and drive long-term remediation through Problem Management practices.

· Plan, validate, and implement database changes in alignment with Change Management processes.

· Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability.

· Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms.

· Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency.

· Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes.

Required Qualifications

· 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner.

· Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.

· Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms.

· Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability.

· Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines.

· Hands-on experience with AWS and/or Google Cloud Platform database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC.

· Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads.

· Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis.

· Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment.

· Solid understanding of database setup, configuration, administration, and replication.

· Ability to learn quickly, work independently, and take ownership of assigned responsibilities.

Willingness to provide rotational weekend and off-hours support as needed.