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Senior Software Engineer

  • Technology
  • Full time
  • R-548416

About this role:

Wells Fargo is seeking a Senior Software Engineer


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:

  • Development 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.
  • Good knowledge of 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.
  • Good understanding of AI
  • Hands-on Engineering

    Backend (Java)

  • Develop robust backend services using Java, Spring Boot, Spring Cloud and integrate with document, relational, and vector databases.
  • Knowledge of 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
  • Frontend (Angular)

  • Develop modern, responsive web applications using Angular/React, TypeScript, RxJS, and advanced state management frameworks.
  • GenAI Engineering & Innovation

  • Build and integrate LLM-based features using Azure OpenAI, OpenAI, Gemini, Claude, or enterprise-safe LLMs.
  • Understand 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.
  • Quality Engineering & Operational Excellence

  • Establish a robust testing framework across backend, UI, and AI components.
  • Implement test harnesses for LLM behaviour, prompt regression testing, and fallback logic validations.
  • Ensure observability for both traditional and GenAI services including latency, token usage, and model drift metrics.
  • Continuous improvement initiatives across the full stack.
  • Required Qualifications

  • Bachelor’s/master’s degree in computer science, Engineering, or equivalent.
  • Domain Knowledge (Optional)

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

Posting End Date: 

4 Jun 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.


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