US Bank Logo

US Bank

Lead Software Engineer (Process and Intelligence Automation)

Reposted 6 Hours Ago
Be an Early Applicant
In-Office
Cupertino, CA, USA
139K-164K Annually
Senior level
In-Office
Cupertino, CA, USA
139K-164K Annually
Senior level
Designs, develops, and operationalizes enterprise architecture processes and technology intelligence capabilities. Builds AI-powered process automations, data pipelines, metadata models, and cloud-based applications using Python, microservices, and SaaS architecture tools. Integrates analytics platforms, develops CI/CD pipelines, applies secure engineering practices, and delivers scalable solutions for regulated financial environments. Provides technical leadership, makes architecture decisions, mentors teams, and collaborates with business, product, risk, and security stakeholders.
The summary above was generated by AI

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

U.S. Bank is seeking an experienced software engineer to design, develop, and operationalize our enterprise architecture operations and technology intelligence capability. As a member of the Enterprise Architecture team, this role closely partners with architecture and technology stakeholders to streamline architecture and IT processes and enable capabilities to provide meaningful technology intelligence that facilitates technology strategy, planning and efficient IT operations. This position combines deep hands-on expertise in AI, programming languages (e.g. Python), data modeling and ETL, Architecture Tooling (SaaS), Cloud (AWS), and process automation. The ideal candidate will have a blend of strategic and practical design thinking, solving complex enterprise technology problems with enterprise grade solutions. 
 

Key Responsibilities 

Process Engineering 

  • 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 

Data and Meta Model Engineering 

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

  • Leverage data transformation tool (e.g. VaultSpeed) to transform data into consumable data products (e.g. gold and silver layers) 

  • Integrate and leverage with data analytics capabilities such as Data Bricks and Snowflake 

Architecture Tooling and Intelligence  

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

  • Analyze and redesign architecture processes  

Software Engineering & Architecture 

  • 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 

Technical Leadership & Influence 

  • 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 

Basic Qualifications

  • Bachelor’s degree, or equivalent work experience

  • Six to eight years of relevant experience

Skills/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.

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 opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

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.

Posting may be closed earlier due to high volume of applicants.

US Bank San Francisco, California, USA Office

201 Montgomery St, San Francisco, California, 94104-2901, United States, San Francisco, United States, 94104-2901

Similar Jobs

20 Minutes Ago
Hybrid
148K-222K Annually
Expert/Leader
148K-222K Annually
Expert/Leader
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Leads financial planning, portfolio governance, and business operations for a complex digital, engineering, and autonomy investment portfolio. Responsibilities include forecasting, variance analysis, cloud and compute cost management, workforce and capital planning, purchasing coordination, reporting, risk management, and executive decision support. The role establishes operating standards, integrates financial and delivery information, and presents recommendations to senior leadership while managing cross-functional stakeholders and teams.
Top Skills: AgileCloud ComputingCompute InfrastructureFinopsGpu ComputingLean Portfolio ManagementSafe
21 Minutes Ago
Hybrid
148K-240K Annually
Senior level
148K-240K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Owns the architecture of Caterpillar’s reinforcement learning systems for physical AI and autonomous construction equipment. Designs simulation-based training, imitation learning, foundation-model post-training, sim-to-real transfer, policy evaluation, safety, and deployment methodologies. Establishes standards for reproducibility, experimentation, benchmarks, and field performance while guiding cross-functional teams and translating research into reliable, production-ready learning systems.
Top Skills: BazelBraxC++Ci/CdCudaDpoGailGrpoIqlIso 13849Iso 26262JaxKubernetesMpcMujocoNvidia CosmosNvidia Isaac LabNvidia Isaac SimNvidia OmniversePpoPythonPyTorchRayRlhfSacSlurmSotif
148K-240K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Leads analytics and AI strategy, delivery, governance, and platform ownership for internal auditing. Manages data scientists, develops Power BI and Snowflake solutions, oversees reporting and control monitoring, and drives automation and AI adoption. Partners with audit and business leaders to translate requirements into scalable insights, improve decision-making, and establish secure, reliable analytics practices. The role also manages stakeholder relationships, vendor partnerships, team development, and analytics transformation initiatives.
Top Skills: OptroPower BIPythonRSnowflakeSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account