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U.S. Bank

PaaS Automation - Digital Innovation - Operations

Saint Paul, MN

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Shape your future – and ours

We’re looking for a PaaS Automation Analyst to join our Azure & Power Platform Solutions team—a group focused on building smart, scalable automation and workflow solutions that help the business move faster and work smarter.

In this role, you’ll serve as a technical expert and trusted partner to the business, supporting the design, development, and ongoing enhancement of workflow automation, data solutions, and system integrations. The work spans both product-based initiatives and project-based delivery , offering a mix of structure and creative problem-solving in a fast-moving environment.

If you enjoy turning complex problems into practical solutions—and thrive when every day looks a little different—this role offers high visibility, meaningful impact, and continuous learning.

This position is not eligible for visa sponsorship. Must be U.S. Citizen not on any type of Visa.

Key Responsibilities

Design, develop, and maintain data integration solutions using Domo Datasets, Collections, Code Engine, and Jupyter Workspaces.

Build and support automated data ingestion, transformation, validation, and delivery processes across cloud and enterprise platforms.

Develop integrations and workflows connecting Azure, Domo, SharePoint, databases, APIs, and enterprise systems.

Optimize data pipelines, datasets, and automation processes to ensure scalability, performance, and data quality.

Partner with business and technical teams to deliver reporting, workflow automation, and data-driven solutions.

Architect and implement AI-powered solutions using Azure OpenAI, RAG, semantic search, agentic workflows, and intelligent automation.

Integrate LLMs and Generative AI capabilities into enterprise applications while ensuring security, governance, and responsible AI practices.

Build secure AI-enabled architectures leveraging Azure AI Search, AI Foundry, Machine Learning, Copilot technologies, vector databases, and enterprise data sources.

Lead enterprise integration, API, automation, and cloud modernization initiatives.

Support the full software development lifecycle, from requirements through deployment and continuous improvement.

Analyze complex business and technical challenges, balancing functionality, security, performance, cost, and maintainability.

Troubleshoot production issues, optimize platforms, and evaluate emerging technologies to drive innovation and productivity.

Primary Platforms

Azure Logic Apps

Azure Function Apps

Domo Code Engine

Domo Jupyter Workspaces

Domo Datasets

Domo Collections

Additional Technologies

Azure API Management (APIM)

Azure Storage Accounts

Azure Key Vault

Azure Service Bus

Azure Event Grid

Azure Monitor

Application Insights

GitLab

Azure DevOps

REST APIs

SQL Server and Relational Databases

What Success Looks Like

Delivering scalable, secure, and reliable Azure PaaS and AI solutions that create measurable business value

Successfully integrating Azure OpenAI and AI-powered services into enterprise workflows and customer-facing applications

Designing reusable AI and integration frameworks that accelerate development across multiple teams and business functions

Demonstrating strong ownership of platform health, operational excellence, and service reliability

Communicating complex cloud, architecture, and AI concepts effectively to technical and non-technical audiences

Driving modernization efforts through cloud-native architectures, automation, and emerging AI technologies

Identifying opportunities to improve productivity, reduce costs, and enhance customer experiences through intelligent automation and Generative AI

Why Join This Team

Lead the adoption of Azure OpenAI and next-generation AI technologies across a growing enterprise platform ecosystem

Work with cutting-edge Azure services, cloud-native architectures, intelligent automation, and Generative AI solutions

Play a key role in defining enterprise AI strategy, governance, architecture standards, and platform roadmaps

Join a collaborative team that values innovation, continuous learning, and technical excellence

Influence how AI, automation, and cloud technologies transform business operations and customer experiences

Balance meaningful project work with opportunities to experiment, innovate, and drive transformational change

Location:

Hybrid 3+ days in office at St. Paul, MN (West Side Flats)

Monday - Friday 8am-5pm CST

This role has multiple levels, open to candidates with 3 years minimum experience. The successful candidate will be hired for the level of the position that aligns with their experience. Please note that the salary range provided corresponds to the lowest level of the position posted.

PaaS Automation 3

Basic Qualifications

Bachelor's degree, or equivalent work experience

Three to five years of direct experience (with project lead experience), or five to eight years of related experience

PaaS Automation 4

Basic Qualifications

Bachelor's degree, or equivalent work experience

Five or more years of direct experience (with project lead responsibilities), or eight or more years of related experience

PaaS Automation 5

Basic Qualifications

Bachelor's degree, or equivalent work experience

Eight or more years of direct experience with project management responsibilities

Preferred Skills/Experience

Strong hands-on experience with Azure Logic Apps and Azure Function Apps .

Experience developing and supporting solutions using Domo Code Engine , Domo Jupyter Workspaces , Domo Datasets , and Domo Collections .

Experience designing automated data pipelines and workflows across multiple platforms and services.

Proficiency in one or more programming languages such as Python, JavaScript, C#, or SQL .

Experience developing and consuming REST APIs and integrating enterprise applications.

Knowledge of data movement, transformation, orchestration, and automation patterns.

Experience working with structured and unstructured data sources.

Familiarity with source control systems and CI/CD practices.

Experience troubleshooting production issues and performing root cause analysis.

Understanding of cloud security best practices, identity management, and access controls.

Strong organizational, analytical, and problem-solving skills.

Excellent communication and collaboration abilities.

Location Expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants .

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

Healthcare (medical, dental, vision)

Basic term and optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave

401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary grade and tenure)

Up to 11 paid holiday opportuni

Original posting on U.S. Bank's site ↗

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