Software Engineer ; Cupertino, CA.

Software Engineer 2 (Multiple openings) in Cupertino, CA. page is loaded## Software Engineer 2 (Multiple openings) in Cupertino, CA.locations:
Cupertino, CAposted on:
Posted Todaytime left to apply:
End Date:
February 28, 2026 (4 days left to apply) job requisition :
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 a full-time Software Engineer 2 (Multiple openings) in Cupertino, CA.
*
* Essential Responsibilities:

** The Software Engineer 2 job duties include the following:
* Modernize and maintain the U.S. Bank AI/ML platform by integrating and customizing Open-Source solutions such Kubeflow, Lang Chain, Jupyter Hub, and Jupyter Lab.
* Deploy and manage AI/ML applications using Microsoft Azure Cloud infrastructure, including Azure Virtual Machines (VMs), Azure Kubernetes Service (AKS), and tools like Docker, Kubernetes, and Helm.
* Implement secure authentication and authorization using OAuth2, Azure Active Directory (Azure AD), JWT, and ensure role-based access control (RBAC) for AI/ML tools and workflows.
* Develop and maintain REST APIs using frameworks like Flask, Django, FastAPI, and Gin Framework to integrate with external services and provide scalable solutions.
* Collaborate with Data Scientists to productionalize models using tools like Kubeflow and custom extensions developed with Lang Chain SDK.
* Build and maintain CI/CD pipelines using Git Lab CI/CD, Terraform, and Jenkins, automating deployment processes for AI/ML applications on Azure.
* Manage data storage and caching solutions using Postgre

SQL, Azure SQL Database, MySQL, and Redis for high-performance data handling and scalability.
* Develop and deploy chatbots and conversational agents using Azure OpenAI, Chainlit, and Lang Chain, integrating with internal services to enhance user interaction with AI-driven tools.
* Collaborate with cross-functional teams, including engineering, operations, and business lines, ensuring effective architecture and design while communicating findings clearly to both technical and non-technical partners.
* Support a platform for distributed data processing and analytics using tools like Apache Spark to handle large datasets and real-time data streams.
* Understand the capabilities and limitations of existing algorithms and models and evolve them to satisfy future product requirements.
* Adhere to best practices for development within the Agile framework and follow the SDLC process.
* Write clean, efficient, and maintainable code in Python, Go and Type Script.
* Implement the fundamental building blocks along with working examples to deliver the platform-level capabilities as planned. Build Near Real Time event-based platform using Kafka.
*
* Basic Qualifications:

** This position requires a Master’s degree or equivalent in Computer Science or Computer Engineering and two (2) years of related software engineering experience.
** Required Skills/

Experience:

** Must also have the following experience:
1) Two years of experience working with the following programming languages: Python, Go and Type Script.
2) Two years of experience with Machine Learning application development or platform engineering.
3) Two years of experience utilizing the following tools/technologies/skills:
Containerization and IAC (Infra as Code) technologies with at least one of the major Cloud providers; security protocols including TLS and SSH; data systems such as Kafka, Spark, ELK; and CI/CD, Dev Ops and SRE tool chains such as Kubernetes, Istio, Helm and terraform.
4) Two years of experience with software lifecycle; data and ML product delivery; software engineering principles; agile practice.
5) Two years of…