Senior Reliability Engineer
U.S. BankAbout the role
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
The Senior Reliability Engineer is responsible for stability, performance, and scalability of the PCS Data Warehouse platform. This role combines production support, engineering, and automation to reduce incidents, improve reliability, and increase delivery speed through code standardization, optimization, and AI-assisted development.
The position partners with ETL developers, production support, and data owners to identify risk, optimize system performance, and enforce consistent engineering practices. This role leads integration of AI-assisted development and automation across the platform.
Full Job Description
Role Overview
The Senior Reliability Engineer supports the full lifecycle of the PCS Data Warehouse platform including ETL processing, data pipelines, infrastructure, and operational tooling. The role focuses on preventing production issues, improving observability, and optimizing performance across code, data flows, and platform operations.
This position operates across engineering and production support to ensure data availability, performance, and reliability for business-critical processes.
Key Responsibilities
Platform Reliability and Stability
· Ensure high availability, performance, and reliability of the PCS Data Warehouse
· Proactively identify system risk and remediate before impact
· Lead root cause analysis and implement permanent fixes
· Reduce repeat incidents through automation and design improvements
· Monitor data pipelines, batch processing, and platform health
Optimization and Performance Engineering
· Optimize ETL jobs, SQL queries, and data pipelines for performance and efficiency
· Identify bottlenecks across data processing, scheduling, and infrastructure
· Drive tuning of database workloads and batch execution windows
· Improve throughput, reduce latency, and lower resource consumption
· Standardize performance best practices across development teams
Incident, Problem, and Change Management
· Own major incident response and coordination
· Drive post-incident reviews and corrective actions
· Improve MTTD and MTTR
· Align with service management processes for incident, problem, and change tracking
Engineering and Code Reliability
· Define and enforce coding standards for ETL, SQL, and data workflows
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