> Markdown version of [/jobs/ext/4184875-principal-systems-engineer-database-administration](https://www.wearedevelopers.com/jobs/ext/4184875-principal-systems-engineer-database-administration). 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). --- # Principal Systems engineer - Database Administration - **Company:** U.S. Bank, National Association - **Location:** Saint Paul, MN, United States - **Experience:** Expert - **Salary:** $119,765.0 - $140,900.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, Cloud Engineering, Cluster Analysis, Databases, Continuous Integration, IBM DB2, Database Development, DevOps, Disaster Recovery, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Performance Tuning, Ansible, Shell Script, Datadog, SSL Certificate Management, Universal Database (UDB), System Availability, Grafana, Git, Git Flow, Infrastructure Automation Frameworks, Information Technology, Database Replication, Terraform - **Published:** October 15, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Saint-Paul-MN/Principal-Systems-engineer---Database-Administration_2026-0032395 ## About the Role Bachelor's degree, or equivalent work experience - At least 7 years of experience within a total information technology (IT) environment - At least 7 years of experience with the design, development and support of technology infrastructure Preferred Skills/Experience * Strong expertise administering IBM DB2 UDB and PostgreSQL databases, including installation, configuration, upgrades, performance tuning, backup/recovery, and security hardening. * Advanced proficiency in Python development and automation engineering with experience building scalable operational frameworks. * Hands-on experience with Ansible, Terraform, Git, APIs, CI/CD pipelines, and DevOps practices. * Deep understanding of Linux administration, database replication technologies, clustering, high availability, and disaster recovery strategies. * Experience designing and implementing Infrastructure-as-Code (IaC) solutions in cloud and hybrid environments. * Knowledge of AI/GenAI technologies, machine learning-assisted operations, and intelligent automation applications for database management. * Familiarity with Azure, AWS, cloud-native database platforms, observability tools (Datadog), and monitoring solutions. * Strong communication, problem-solving, collaboration, and ownership mindset with the ability to influence stakeholders and drive operational innovation. ## Description Supervises and develops multi-platform converged enterprise engineering solutions targeted to meet existing, enhanced, and new platform solutions for business and infrastructure services. Leads, directs, or recommends cross-functional team targeted for system enhancements for system performance, reliability, scalability, and capacity. Evaluates product and service solutions., * Design, administer, and optimize enterprise IBM DB2 UDB and PostgreSQL database environments across on-premises, cloud, and hybrid platforms. * Develop and maintain automation frameworks using Python, Ansible, Terraform, Shell scripting, and APIs to streamline database operations. * Automate critical processes including server provisioning, database deployments, patching, upgrades, certificate management, backup validation, and compliance checks. * Build self-service capabilities that enable users and engineering teams to provision and manage database environments with minimal manual intervention. * Lead database upgrades, migrations, modernization initiatives, and high-availability implementations to improve platform resiliency. * Implement and support AI-driven operational solutions for incident triage, root cause analysis, capacity forecasting, performance diagnostics, and runbook generation. * Establish and maintain Infrastructure-as-Code (IaC) standards, Git-based workflows, and cloud-native database deployment practices across Azure and AWS environments. * Drive continuous improvement by reducing operational toil, improving service reliability, enhancing observability, and implementing self-healing automation solutions.