Wells Fargo
Principal Engineer - Java Full Stack
$159K–$305K
IRVING, TX +1 · Principal · Full-time · Posted Oct 30, 2026
- Location
- IRVING, TX
ISELIN, NJ - Experience
- 7+ years engineering and specified technology experience; 3+ years Teradata and Unix; 2+ years each in AI implementation, Agile, specified data/database/SQL, and Excel Power Query.
- Education
- Not stated.
- Visa sponsorship
- This position is not eligible for visa sponsorship.
About the job
Leads end-to-end technical solution delivery for commercial lending products, from loan origination through servicing and delivery, while guiding architecture, engineering teams, and product roadmaps.
What you'll do
- Advise leadership, shape technical strategies, and make architecture decisions for complex business needs.
- Guide scrum teams through solution design, hands-on development, code reviews, and delivery aligned with business priorities.
- Improve platform stability and performance, and leverage AI, automation, and data engineering to improve business outcomes.
What they ask for
- 7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, or education; 7+ years with the listed Java/Spring, Python, Scala, REST API, and microservices technologies.
- 7+ years of experience with Angular 16, JavaScript, HTML5, CSS3, Bootstrap, jQuery, and AJAX.
- 3+ years of Teradata and Unix experience; 2+ years of AI technology implementation and Agile experience.
- 2+ years of experience with Teradata Utilities, Load/Unload processes, BigQuery, relational databases, SQL development and performance tuning, and Microsoft Excel using Power Query.
Nice to have
- Experience with cloud platforms, containers, Kafka, CI/CD tools, and infrastructure automation.
- Experience in enterprise application design, data engineering, cloud modernization, or AI-driven automation.
Pay
$159,000.00 - $305,000.00 (USD, base salary)
Tools
Java 17+, Spring Boot 3.x, Spring Security, Spring Cloud, Hibernate, JPA, Python, Scala
AI focus
Leverage AI, automation, and data engineering capabilities to improve business outcomes; 2+ years of AI technology implementation experience is required.
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