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Wells Fargo is seeking a Senior Software Engineer to join the Funding and Capital Liquidity (FCL) team within the Corporate and Investment Banking (CIBT) organization. This role plays a critical part in building and enhancing metadata‑driven, scalable, and high‑performance data engineering platforms that support key financial risk, liquidity, and treasury processes across Corporate Treasury. You will work closely with technology, risk, and business partners to deliver robust data solutions that meet the highest standards of performance, resiliency, and regulatory compliance.
Job Responsibility:
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
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice to have:
4+ years of experience in software engineering or data engineering, preferably in financial services
Strong proficiency in Java, React, or Python, with hands‑on experience in building distributed systems
Solid experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks
Experience designing and operating data pipelines and frameworks for large‑scale, mission‑critical systems
Strong understanding of data modeling, metadata management, and performance optimization
Ability to work effectively in a collaborative, fast‑paced, and regulated environment
Experience with CI/CD pipelines, DevOps practices, and production support models
Strong communication skills with the ability to influence and guide technical and non‑technical stakeholders
The candidate should have some experience in Machine Learning (ML) and Artificial Intelligence (AI) concepts, including different Generative AI models, Model Context Protocol (MCP), and agentic frameworks and flows