Senior Technology & Data Engineer

Wells Fargo is seeking a Senior Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Quick frontend development experience
• Experience with frameworks such as Django, flask etc.
• Javascript and HTML foundational knowledge
• Experience in CI/CD pipeline development
• Familiarity with cloud platforms such as GCP, Azure etc.

Job Expectations:

• Strong proficiency in Python
• Deep knowledge of Natural language Processing (NLP) : Text processing of structured and unstructured datasets.
• Hands-on experience with Gen AI (Open source models such as llama) : fine tuning, RAG method, Knowledge Graph
• Solid Machine Learning Background : Deep understanding of mathematics behind machine learning algorithms
• Version control systems such as git : primarily Github
• Experience with data pre-processing
• Drive data-driven initiatives leveraging advanced statistical techniques and ml algorithms