Lead Software Engineer – Process and Intelligence Automation

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

U.S. Bank is seeking a senior enterprise architect to lead and operationalize its architecture operations and technology intelligence capabilities across the bank’s IT landscape, emphasizing automation, data transformation, and scalable app development.

The role partners with stakeholders across product, risk, and security to translate business requirements into secure, resilient solutions on cloud platforms (Azure, AWS) using Python, microservices, CI/CD, and modern AI tech.

Qualifications

• Bachelor’s degree, or equivalent work experience.
• Six to eight years of relevant experience.
• Hands-on experience with Artificial Intelligence (AI) technologies, including Claude Code, Generative AI, LLMs, and modern programming languages
• Experience with Cloud Platforms, including Microsoft Azure and/or Amazon Web Services (AWS)
• Strong expertise in Data Modeling, Data Engineering, Data Pipelines, ETL/ELT Processes, and Analytics Platforms
• Background in Financial Services, Banking, FinTech, or other Highly Regulated Industries with strong knowledge of Risk, Compliance, and Security Standards

Responsibilities

• Design, develop, and operationalize U.S. Bank’s enterprise architecture operations and technology intelligence capability
• Partner with architecture and technology stakeholders to streamline architecture and IT processes
• Enable technology intelligence capabilities that facilitate technology strategy, planning, and efficient IT operations
• Redesign architecture operational processes and build automations using AI, process tooling, and code
• Build automations to collect business process data and enable an enterprise process intelligence repository
• Build and deploy process automation solutions on the cloud and with SaaS products
• Design and implement an enterprise meta model graph serving as a digital twin of U.S. Bank’s IT operations
• Use data transformation tools such as VaultSpeed to transform data into consumable data products
• Integrate and leverage analytics capabilities such as Databricks and Snowflake
• Implement, configure, and augment Enterprise Architecture and Process Mining tooling
• Analyze and redesign architecture processes
• Develop scalable, maintainable applications using Python and microservices-based architectures
• Apply secure coding standards and robust data handling practices for regulated environments
• Build and manage CI/CD pipelines supporting automated testing, deployment, and release management
• Enforce engineering best practices including code reviews, testing, and documentation
• Drive critical design decisions for large-scale IT operations solutions
• Translate business requirements into scalable, secure, and resilient technical solutions
• Partner with stakeholders across product, business, risk, and security functions

Skills

Technical leadership

Cross-functional collaboration

Team mentorship

Stakeholder engagement

Problem solving

Education

Bachelor’s degree or equivalent work experience

Tools

Microsoft Azure

Amazon Web Services

Docker

Kubernetes

Terraform

CloudFormation

Databricks

Snowflake

VaultSpeed

Process Mining Tooling

Job description

• Design, develop, and operationalize U.S. Bank’s enterprise architecture operations and technology intelligence capability


• Partner with architecture and technology stakeholders to streamline architecture and IT processes


• Enable technology intelligence capabilities that facilitate technology strategy, planning, and efficient IT operations


• Redesign architecture operational processes and build automations using AI, process tooling, and code


• Build automations to collect business process data and enable an enterprise process intelligence repository


• Build and deploy process automation solutions on the cloud and with SaaS products


• Design and implement an enterprise meta model graph serving as a digital twin of U.S. Bank’s IT operations


• Use data transformation tools such as VaultSpeed to transform data into consumable data products


• Integrate and leverage analytics capabilities such as Databricks and Snowflake


• Implement, configure, and augment Enterprise Architecture and Process Mining tooling


• Analyze and redesign architecture processes


• Develop scalable, maintainable applications using Python and microservices-based architectures


• Apply secure coding standards and robust data handling practices for regulated environments


• Build and manage CI/CD pipelines supporting automated testing, deployment, and release management


• Enforce engineering best practices including code reviews, testing, and documentation


• Drive critical design decisions for large-scale IT operations solutions


• Translate business requirements into scalable, secure, and resilient technical solutions


• Partner with stakeholders across product, business, risk, and security functions

Requirements

• Bachelor’s degree, or equivalent work experience


• Six to eight years of relevant experience


• Hands-on experience with Artificial Intelligence (AI) technologies, including Claude Code, Generative AI, LLMs, and modern programming languages


• Experience with Cloud Platforms, including Microsoft Azure and/or Amazon Web Services (AWS)


• Strong expertise in Data Modeling, Data Engineering, Data Pipelines, ETL/ELT Processes, and Analytics Platforms


• Deep understanding of Distributed Systems, Scalable Architectures, High-Availability Solutions, and Performance Optimization


• Proficiency in Python, Microservices Architecture, API Development, and Backend Engineering


• Experience with Docker, Kubernetes, Container Orchestration, and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation


• Demonstrated Technical Leadership, Team Mentorship, Engineering Best Practices, and Cross-Functional Collaboration


• Experience with Architecture Modeling, Process Modeling, Enterprise Architecture, and related design frameworks and tools


• Background in Financial Services, Banking, FinTech, or other Highly Regulated Industries with strong knowledge of Risk, Compliance, and Security Standards


• Ability to work from a U.S. Bank location three (3) or more days per week


• Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Core Competencies

Demonstrates expertise in designing and operationalizing enterprise architecture and technology intelligence capabilities, with a strong focus on automation, data transformation, and scalable application development. Proficient in leveraging cloud platforms and AI technologies to enhance IT operations and ensure compliance within regulated environments.

Highest-signal resume keywords

• Enterprise Architecture


• Data Engineering


• Cloud Platforms


• Python Programming


• Technical Leadership

Hard Skills

• Data Modeling


• ETL/ELT Processes


• Microservices Architecture


• API Development


• Distributed Systems


• Performance Optimization


• Automation Solutions


• Secure Coding Standards


• CI/CD Pipelines


• Architecture Modeling

Soft Skills

• Team Mentorship


• Cross-Functional Collaboration


• Stakeholder Engagement

Industry Keywords

• Financial Services


• Banking


• FinTech


• Risk Management


• Compliance Standards


• Security Standards

Tools & Technologies

• Microsoft Azure


• Amazon Web Services


• Docker


• Kubernetes


• Terraform


• CloudFormation


• Databricks


• Snowflake


• VaultSpeed


• Process Mining Tooling