Lead Specialty Software Engineer – Java, Angular & GenAI

About this role:

Wells Fargo is seeking a Lead Specialty Software Engineer

In this role, you will:

• Lead complex initiatives on selected domains
• Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
• Define opportunities to maximize resource utilization and improve processes while reducing cost
• Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
• Resolve coding, testing and escalated platform issues of a technically challenging nature
• Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Mentor less experienced software engineers
• Collaborate and influence all levels of professionals including managers
• Lead team to achieve objectives
• Partner with production support and platform engineering teams effectively

Required Qualifications:

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

Desired Qualifications:

• Bachelor’s/master’s degree in computer science, Engineering, or equivalent.
• 5+ years of professional software engineering experience.
• Proven experience as a senior or lead engineer with technical ownership.

Job Expectations:

• Financial services, trading systems, or risk management platforms.

• Lead design and delivery of Java/Spring Boot along with good understanding of modern UI technologies based microservices supporting real-time pricing, risk, P&L, and trade lifecycle workflows.
• Build and operate low-latency, highly resilient services using REST and event-driven architectures.
• Own code quality, testing strategy, CI/CD pipelines, and production readiness for supported platforms.
• Drive DevOps practices across Kubernetes/OpenShift, Git Actions, Harness, Gradle, and Autosys.
• Troubleshoot and resolve complex production and performance issues in a real-time trading environment.
• Partner closely with Front Office traders, Middle Office, Product, and Platform teams.
• Perform architectural reviews, influence technical direction, and ensure alignment to enterprise target-state architectures.
• Good understanding of AI
• Lead projects, teams, or serve as a peer mentor
• Develop robust backend services using Java, Spring Boot, Spring Cloud and integrate with document, relational, and vector databases.
• Design and optimize MongoDB schemas, aggregations, indexing strategies, and performance at scale.
• Build APIs and microservices supporting AI-driven features such as intelligent search, workflow automation, and semantic enrichment.
• Implement concurrency control, caching, observability, and distributed tracing.
• Experience with event-driven messaging platforms such as Apache Kafka
• Experience with distributed caching technologies such as Redis and/or Apache Ignite
• Develop modern, responsive web applications using Angular/React, TypeScript, RxJS, and advanced state management frameworks.
• Lead the design and delivery of modern UI applications using Angular and TypeScript for real-time trading and analytics platforms.
• Architect and implement scalable monorepo-based UI solutions using Nx, enabling shared libraries, clear domain boundaries, and consistent tooling across multiple applications.
• Design and implement modular Angular frameworks following best practices such as feature modules, lazy loading, shared libraries, reusable components, and Nx workspace conventions.
• Build and integrate LLM-based features using Azure OpenAI, OpenAI, Gemini, Claude, or enterprise-safe LLMs.
• Design RAG pipelines using vector search, embeddings, MongoDB or other indexing/storage layers.
• Apply prompt engineering, output evaluation, toxicity filtering, and guardrails for enterprise-safe AI usage.
• Implement automated content generation, intelligent summarization, classification, or agent-based workflows.
• Collaborate with AI/ML, Product, and Architecture teams to explore and prototype new GenAI use cases.
• Establish a robust testing framework across backend, UI, and AI components.
• Implement test harnesses for LLM behavior, prompt regression testing, and fallback logic validations.
• Ensure observability for both traditional and GenAI services including latency, token usage, and model drift metrics.
• Drive root-cause analysis and continuous improvement initiatives across the full stack.
• Mentor engineers across backend, UI, and AI domains with focus on sustainable engineering practices.
• Partner with Product, Design, and Data Science teams to define and deliver business outcomes.
• Lead backlog prioritization, estimation, and sprint execution with a strong engineering discipline.
• Advocate for adoption of modern engineering standards, reusable frameworks, and platform alignment.

Posting End Date: 

*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.