Senior DBA Engineer - 24x7 Cloud Data Platforms

MACHINE LEARNING TECHNOLOGIES LLC; Texas; On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a seasoned DBA-Engineer to provide around-the-clock production support for enterprise database platforms. The role covers installation, configuration, upgrades, patching, monitoring, and high-availability strategies across PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases.

You will work with cross-functional teams to troubleshoot issues, implement improvements, and contribute to data platform architecture.

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 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.

Responsibilities

• 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.

Skills

PostgreSQL

YugabyteDB

SQL Server

Cloud-native databases

Python

Unix shell scripting

Ansible

Terraform

GitHub

CI/CD pipelines

AWS

GCP

Grafana

DMC

Tools

Grafana

DMC

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a seasoned DBA-Engineer to provide around-the-clock production support for enterprise database platforms. The role covers installation, configuration, upgrades, patching, monitoring, and high-availability strategies across PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases.

You will work with cross-functional teams to troubleshoot issues, implement improvements, and contribute to data platform architecture.