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Automation Lead Software Engineer - Multiple Teams

Wells Fargo

Salary not specified
Oct 1, 2025
Charlotte, NC, USA • Irving, TX, USA
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Wells Fargo is seeking to lead complex technology initiatives and design end-to-end AI solutions aligned with business goals, including defining and implementing GenAI and Agentic AI use cases.

Requirements

  • 5+ years of software development experience with languages such as Perl, Python, Java, JavaScript, Ruby, JSON, Angular, NodeJS
  • 2+ years experience with Automation Scripting: Bash, Shell, Ansible, Terraform, Azure DevOps
  • Strong proficiency in Python and related frameworks (e.g., Django, Flask, FastAPI).
  • 2+ years Incident Management System experience
  • 2+ years of experience in AI/ML development and architecture.
  • 2+ year's experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
  • 2+ year's experience with software design principles and patterns.

Responsibilities

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Define architecture for machine learning pipelines, model deployment, and data integration.

Other

  • Lead projects, teams, or serve as a peer mentor
  • Minimum expectation of reporting into office three days per week
  • This role is not eligible for visa sponsorship
  • 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.