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About this role: Wells Fargo is seeking a Senior Infrastructure Engineer. In this role, you will: Lead or participate in high level technical concepts spanning technology and business Develop specifications for complex infrastructure systems, design and test solutions Contribute to the testing of business, application and technical infrastructure requirements Drive solutions to reduce recovery Review and analyze solutions for cloud security, secrets management and key rotations Design, code, test, debug and document programs using Agile development practices Design complex system upgrades Resolve troublesome trends as they develop Develop a long range plan designed to resolve problems and prevent them from recurring Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Job Responsibility
Lead or participate in high level technical concepts spanning technology and business
Develop specifications for complex infrastructure systems, design and test solutions
Contribute to the testing of business, application and technical infrastructure requirements
Drive solutions to reduce recovery
Review and analyze solutions for cloud security, secrets management and key rotations
Design, code, test, debug and document programs using Agile development practices
Design complex system upgrades
Resolve troublesome trends as they develop
Develop a long range plan designed to resolve problems and prevent them from recurring
Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Requirements
4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Programming & Automation
Strong proficiency in Python in Python for automation, scripting, and problem-solving
Working knowledge of Ansible for automation, including playbook and role development
API & Integration
Experience in developing and consuming REST APIs
Ability to integrate automation solutions with enterprise systems and services
CI/CD & DevOps Practices
Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, or similar)
Exposure to pipelines-as-code and SDLC automation practices
Proficiency in Git for version control and collaboration
Automation & Frameworks
Experience building or contributing to automation frameworks or reusable components
Understanding of automation best practices, modular design, and scalability
Troubleshooting & Problem Solving
Ability to debug and troubleshoot issues across code, automation scripts, and workflows
Strong analytical thinking with attention to detail and accuracy
UI/Tooling
Working knowledge on GUI-based tools or automation interfaces
Agile & Collaboration
Experience working in Agile environments (Scrum/Kanban)
Ability to collaborate effectively in cross-functional teams
Communication & Personal Skills
Strong verbal and written communication skills
Good organizational and time management skills to handle multiple tasks
Understanding of enterprise use cases for Generative AI
Knowledge of responsible AI practices and ethical considerations
Ability to optimize AI solutions for performance and cost
Well versed in MLOps concepts for LLM applications
Staying current with rapidly evolving Gen AI technologies and best practices
Strong verbal and written communication skills
Good problem solving and analytical skills
Should be detail oriented, able to multitask
Strong lead engineering skills to effectively guide teams on technical aspects.
Nice to have
AI/GenAI Experience (Preferred)
exposure to GenAI concepts (LLMs, prompt engineering, embeddings, RAG)
Familiarity with frameworks like LangChain or LlamaIndex is a plus
AI mind set, experience leveraging AI‑assisted tools for code development, optimization, testing, and operational efficiency.