About this role:

Wells Fargo is seeking a Senior Software Engineer – Java, Angular & GenAI

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:

Design, develop, and maintain full‑stack applications using Java, Spring Boot, Angular, microservices, MongoDB, and AI‑driven components.
Translate business and functional requirements into clean, maintainable, and testable code.
Contribute to technical design discussions and follow established architectural patterns and engineering standards.
Backend Development (Java)
Build and enhance backend services using Java, Spring Boot, Spring Cloud, and RESTful APIs.
Develop scalable microservices that support both traditional and AI‑driven features.
Work with MongoDB and relational databases to design schemas, queries, and integrations.
Implement resiliency patterns including retries, circuit breakers, caching, and asynchronous processing.
Ensure performance, security, and reliability of backend services.
Frontend Development (Angular)
Develop user‑friendly, responsive web applications using Angular, TypeScript, RxJS, and modern UI patterns.
Implement reusable UI components and maintain consistency across applications.
Integrate frontend applications with backend and AI services, handling asynchronous workflows and real‑time updates.
Collaborate with UX/UI designers to deliver high‑quality user experiences.
GenAI Engineering
Integrate LLM‑based capabilities (e.g., using Azure OpenAI or enterprise LLM platforms) into applications.
Implement AI features such as intelligent search, summarization, classification, and recommendation workflows.
Support RAG (Retrieval‑Augmented Generation) pipelines using embeddings and vector search technologies.
Apply prompt engineering best practices and handle error cases, fallbacks, and safe‑output mechanisms.
Work within defined AI governance, security, and compliance guidelines.
Quality Engineering & Operational Excellence
Write unit, integration, and end‑to‑end tests for backend, frontend, and AI workflows.
Participate in code reviews to ensure code quality, performance, and maintainability.
Monitor applications in production, troubleshoot issues, and support root‑cause analysis.
Contribute to continuous improvement of development practices, tooling, and automation.
Collaboration & Team Contribution
Work closely with Tech Leads, Architects, Product Managers, Data Scientists, and QA teams to deliver business outcomes.
Provide technical input during sprint planning, estimation, and backlog refinement.
Mentor junior engineers through code reviews and knowledge sharing.
Actively contribute to engineering documentation and reusable components.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
Strong years of professional software engineering experience.
Strong experience working on enterprise‑scale, full‑stack applications.
Backend – Java
Strong years of experience with Java, Spring Boot, Spring Cloud, REST APIs, and microservices.
Solid understanding of JVM fundamentals, multithreading, and service‑level performance tuning.
Strong years of experience with Angular, TypeScript, RxJS, component‑based architecture, and state management.
GenAI / AI Integration
Hands‑on experience integrating LLMs into applications.
Familiarity with prompt engineering, embeddings, and RAG concepts.
Awareness of AI risks such as hallucinations and data privacy concerns.
Database Technologies (Including MongoDB)
Strong experience with MongoDB, including:
Document modeling and schema design
Indexing and query optimization
Aggregation pipelines
Working knowledge of relational databases (PostgreSQL, Oracle, etc.).
DevOps & Tooling
Experience with CI/CD pipelines, Git‑based workflows, Docker, and basic Kubernetes concepts.
Familiarity with automated testing frameworks for backend and frontend applications.
Cloud experience (Azure, AWS, or GCP).
Exposure to Kafka or event‑driven architectures.
Experience working with API gateways or feature flag frameworks.
Familiarity with MLOps/LLMOps concepts.
Domain Knowledge (Optional)
Experience in financial services, trading platforms, or risk‑management systems.

Posting End Date:

23 Apr 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. 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. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.