below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$185,037–$240,150.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
31 open roles
on FindRole.
Listed pay typically runs
$159,000–$254,000
across 15 roles with salary data.
The Principal Engineer-Consumer Technology joins the Retail Services Consumer Lending Technology team to lead end-to-end technology solution delivery for merchant onboarding, servicing, and unsecured lending products. This role involves defining enterprise engineering strategies, architecture standards, and technology roadmaps while translating business objectives into technical solutions. Key responsibilities include architecting enterprise-grade solutions, driving modernization initiatives like platform consolidation and legacy data transformation, and mentoring senior engineers. The position requires hands-on expertise in Java 17+, Spring Boot 3.x, Spring Security, and Microservices Architecture. Candidates must utilize React, Node, and NoSQL databases like MongoDB, alongside Oracle and SQL Server. Technical skills include Kafka, RabbitMQ, Jenkins, GitHub Actions, and cloud platforms like AWS or Azure. The work focuses on cloud-native modernization, AI-driven automation, and intelligent workflow implementations within a financial services context.
What does a Engineer earn?
Median $185000 from 238 postings across 60 companies.
Define and drive the enterprise engineering strategy, architecture standards, and technology roadmap for complex business requirements.
Architect enterprise-grade technology solutions and lead the delivery of end-to-end technology solutions for retail services.
Drive modernization initiatives involving platform consolidation, legacy data platform transformation, and the use of AI tools.
Mentor senior engineers, technical leads, and solution architects while promoting engineering excellence and continuous learning.
Provide consistent architecture guidance and conduct extensive code reviews for development teams.
Collaborate with production support and reliability engineering teams to drive root cause analysis and platform stability.
Conduct Proof of concepts with latest technologies to enable innovation and demonstrate thought leadership.
Partner with product and program leadership to ensure technology implementation aligns with business goals and timelines.
What we're looking for
7+ years of engineering experience, or equivalent demonstrated through work, training, military experience, or education.
7+ years of software engineering experience with Java, Spring, Spring Boot, RESTful APIs, microservices, and enterprise application development.
7+ years of experience in Java 17+, Spring Boot 3.x, Spring Security, Spring Cloud, REST APIs, Resource Oriented Architecture, and Microservices Architecture (preferred).
7+ years of experience with React, Node, and similar user interface build technologies (preferred).
5+ years of experience with enterprise software design patterns, specifically for microservices and micro frontend architecture (preferred).
5+ years of data modeling experience for NoSQL databases like MongoDB and 5+ years of experience with Oracle, Teradata, SQL Server, and relational database design (preferred).
5+ years of SQL development and performance tuning skills (preferred).
3+ years with data transmission middleware like Kafka or Rabbit MQ (preferred).
Generative AI
Large Language Models
Retrieval-Augmented Generation
Distributed Systems
Cloud Technologies
CI/CD
APIs
Observability
Security
Production Operations
Software Design
Automation
System Design
Prototypes
Reference Implementations
Semiconductor IC Development
ATE Test Program Development
DFT
Silicon Fabrication
Yield Analysis
Failure Analysis
Integrated Circuits
SoC
LDOs
Integrated VRs
Transistor Theory
Product Q&R
High-Performance Computing
AI
GPUs
CPUs