Fraud Technology Software Engineer

About this role:

Wells Fargo is seeking a Software Engineer to build and enhance enterprise-grade Fraud Technology applications that support high‑scale, mission‑critical business processes. This role requires strong hands-on engineering expertise, ownership mindset, and the ability to collaborate across product, architecture, and operations teams.

In this role, you will:

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
• Identify opportunities for service quality and availability improvements within the technology domain environment
• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
• Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
• Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
• Provide information to technology colleagues, internal partners, and stakeholders
• Deliver high‑quality full‑stack solutions using Java, J2EE, Spring, Spring Boot, KAFKA, React, and DB with strong ownership of design, development, testing, and deployment.
• Ensure application reliability and security through automated testing, CI/CD pipelines, observability, and adherence to secure coding and compliance standards
• Collaborate effectively with product owners, architects, QA, and cross‑functional teams; provide clear communication of progress, risks, and technical decisions.
• Continuously improve systems and processes, addressing technical debt, optimizing performance, and adopting modern engineering patterns and tools.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Qualifications:

• 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 2+ years of backend (Java/j2ee, Spring, Spring Boot, KAFKA, Relational/NOSQL).
• 2+ years of Cloud (Openshift or other) experience.

Desired Qualifications:

• Strong understanding of object‑oriented design, microservices architecture, APIs, and distributed systems.
• Experience with CI/CD pipelines (Git, Jenkins, Azure DevOps, GitHub Actions, etc.).
• Experience with monitoring/observability tools and logging frameworks.
• Experience leveraging agentic frameworks for autonomous multi-step reasoning and planning.
• Experience with Generative AI Operations, and enterprise-scale AI adoption strategies.
• Experience with working with globally distributed teams in working in Agile scrums.
• Experience working in Financial Services industry preferably Fraud Technology domain.

Posting End Date: 

25 Mar 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 identificati