Engineering Associate – Cloud Infrastructure & Platform Engineering

Wells Fargo•Chandler, AZ

3d•Hybrid

About The Position

About this role: Wells Fargo is seeking an Engineering Associate – Cloud Infrastructure & Platform Engineering to join the Chief Technology Office (CTO), aligned to Technology Architecture and Engineering within IT Service Operations (ITSO). This role supports Technology Infrastructure Platform Management, with a focus on enabling and operating resilient, secure, and scalable cloud platforms across the enterprise. As an Engineering Associate, you will support a hybrid cloud environment spanning public cloud (Google Cloud Platform – GCP) and private cloud (OpenShift / OCP). This role is closely aligned with Enterprise AI initiatives, where GCP serves as the foundational platform for AI and GenAI workloads, and supports a broad portfolio of applications across lines of business. You will also participate in the Career Opportunities in Development and Engineering (CODE) Program — a two‑year development program that runs alongside your full-time experience. CODE is designed for recent grads, coding bootcamp alumni and individuals with hands-on technical experience looking to break into tech. No four‑year degree is required. CODE provides: Immersive onboarding and foundational technical training A supportive cohort experience of peers starting their tech careers Dedicated mentors and program managers who guide your development Professional development, career coaching, and workshops The role + CODE provides on the job learning, mentorship, and exposure to emerging technologies, including AI enabled operations and platform reliability engineering, making it an excellent opportunity for candidates launching a career in cloud and infrastructure engineering. Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the future in order to retain their authorization to work in the United States. In this role, you will:

Requirements

6+ months of Technology Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Basic understanding of cloud computing concepts (GCP, AWS, or Azure) gained through coursework, projects, training, or hands on experience.
Familiarity with Linux/Unix environments and command line tools.
Foundational understanding of containerization and orchestration concepts (e.g., Docker, Kubernetes, OpenShift).
Exposure to at least one programming or scripting language, such as Python, Bash, or Go, through academic, project based, or professional experience.
Exposure to automation, monitoring, or observability concepts through coursework or projects.
Proficiency in Microsoft Office tools, managing email and calendars in Outlook, and building presentations in PowerPoint.
Experience communicating technical issues or access-related concerns across technical and non-technical teams.
Demonstrated ability to manage multiple tasks simultaneously and meet deadlines in academic or professional settings.
Bachelor’s in computer science or related field preferred but not required.
Google Cloud Certified – Associate Cloud Engineer or Kubernetes Application Developer (CKAD) Certifications preferred but not required.

Responsibilities

Support the daily operations, maintenance, and optimization of a hybrid cloud environment across GCP and private cloud platforms (OCP) to ensure availability, performance, and reliability.
Develop and contribute to automation, AI/ML, and GenAI driven solutions that improve platform reliability, operational efficiency, and incident response.
Assist with deploying, configuring, and managing cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and defined engineering procedures.
Provide production engineering support, including troubleshooting application and platform issues, supporting incident resolution, and partnering with application teams.
Build and maintain Python program libraries, scripts, and pipelines to automate routine operational and engineering tasks.
Collaborate with teams supporting enterprise AI initiatives, data analytics platforms, and warehouse technologies.
Learn and apply best practices for cloud monitoring, observability, logging, and platform operations.
Participate in an on-call rotation (approximately every six weeks) to support code or platform issues impacting production systems.