Engineering Associate supporting hybrid cloud infrastructure at Wells Fargo. Handling production engineering and contributing to AI initiatives within the Chief Technology Office.
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.
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
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.
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Software Engineer integrating hardware features into core platforms at Red Hat. Collaborates with teams to ensure seamless operations between hardware and software.
Director of Cloud Platform Engineering overseeing cloud platform capabilities for critical healthcare services. Leading a large engineering organization with emphasis on automation and secure - by - design architectures.
Azure Cloud Architect designing and implementing multi - cloud solutions for Kyndryl customers. Leading client workshops and co - creation sessions to optimize technology strategies.
Senior Cloud Engineer for Blend Technologies specializing in cloud solutions and infrastructure. Drive projects to enhance innovation and technology in the digital transformation era.
Associate Cloud Engineer working with Library Technology at Vanderbilt University to enhance digital collection discoverability. Collaborating with teams to develop secure applications and manage cloud services.
Network Engineer developing and maintaining secure networks for DoD missions. Collaborating with various teams and ensuring the integrity and functionality of network systems.
Principal Engineer leading the shift towards modern service based architectures at ClearPoint. Focus on deep expertise in JavaScript, TypeScript, and cloud native deployments.
GCP Engineer specializing in Agentic AI technologies to design and maintain scalable AI platforms on Google Cloud. Working across the AI lifecycle from pipeline to infrastructure management.
Salesforce Loyalty Management Cloud Architect responsible for designing and implementing loyalty solutions. Focused on integrating Salesforce services and ensuring customer experience in the financial sector.