> Markdown version of [/jobs/ext/4587261-senior-database-administrator](https://www.wearedevelopers.com/jobs/ext/4587261-senior-database-administrator). 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 Administrator - **Company:** Atos Corp. - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), DevOps, Disaster Recovery, Github, Python (Programming Language), PostgreSQL, Unix Shell, Microsoft SQL Server, MySQL, Query Optimization, Ansible, SQL Databases, Google Cloud, Data Ingestion, System Availability, Grafana, Software Troubleshooting, Terraform, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/d88289e5-4b89-4f49-a025-54280ca03cfd/senior-database-administrator ## About the Role n · 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. \n · Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. \n · Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. \n · Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. \n · Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. \n · Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. \n · Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. \n · Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. \n · Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. \n · Solid understanding of database setup, configuration, administration, and replication. \n · Ability to learn quickly, work independently, and take ownership of assigned responsibilities. \n · Willingness to provide rotational weekend and off-hours support as needed.