DBA -Engineer

Provide 24x7 production support for enterprise database platforms and mission-critical business applications.

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.

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 GCP 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.