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Wells Fargo

Engineering Associate - Cloud Infrastructure & Platform Engineering

Reposted 2 Hours Ago
Hybrid
2 Locations
Entry level
Hybrid
2 Locations
Entry level
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:
  • 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.
Required Qualifications:
  • 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
Desired Qualifications:
  • 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.
Job Expectations:
  • The selected candidate for this role must be able to begin employment by March 18, 2026, in a full-time capacity. This position is required to work from the designated posted office location and must be able to meet all expectations of the current hybrid work schedule, including regular in-office attendance as defined by the team and program requirements.
  • Participation in an on-call rotation approximately once every six weeks to support production systems.
  • Actively engage in the two-year CODE Program, including participation in training, mentorship, networking events, and career development activities.
  • Relocation assistance is not provided for this role.
  • This position is not eligible for Visa sponsorship.
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
Posting End Date:
1 Mar 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Top Skills

Docker
Google Cloud Platform
Kubernetes
Openshift
Python
Terraform

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