Senior Software Engineer- Java- Kafka- Python and AI

Wells Fargo is seeking a Senior Software Engineer.

• 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

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

• Approximately 4+ years of professional experience in software engineering or application development with a proven track record of delivering productionquality systems
• Strong handson experience with Java, Kafka, Python, and frameworks aligned with the teams technology stack
• Demonstrated ability to apply AIassisted development practices at scale to improve engineering productivity, code quality, and reliability
• Practical experience using AIpowered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms)
• Solid understanding of the endtoend software development life cycle (SDLC) and handson experience working in Agile / DevOps delivery models
• Advanced proficiency with source control systems, CI/CD pipelines, and modern development workflows, including AIaugmented reviews and automation
• Experience supporting deployments, upgrades, environment stability, and production operations, including oncall or incident support
• Strong foundational knowledge of databases, APIs, distributed systems, messaging platforms, and system integrations
• Good awareness of security, risk, data privacy, compliance, and responsible AI usage, with the ability to apply these principles in design and implementation
• Ability to independently troubleshoot and resolve moderately complex technical issues, leveraging documentation, system telemetry, and AIassisted insights
• Demonstrated commitment to continuous learning, especially emerging AI technologies and patterns relevant to the engineering domain
• Strong communication skills with the ability to collaborate effectively with engineers, product partners, and stakeholders, and to mentor junior team members

• Lead and contribute to moderate to highcomplexity technology initiatives, including new feature development, system enhancements, upgrades, and deployments
• Design, implement, test, debug, and document robust solutions, making informed architectural decisions within established guidelines
• Apply an AIfirst engineering mindset, proactively using approved AI tools for code generation, refactoring, reviews, testing, troubleshooting, and documentation while ensuring compliance with enterprise standards
• Drive adherence to engineering best practices, design patterns, coding standards, and responsible AI and datausage policies
• Identify, propose, and help implement improvements to service quality, performance, stability, scalability, and developer efficiency
• Independently investigate and resolve recurring and nontrivial technical issues, leveraging both traditional debugging techniques and AIassisted analysis, and lead resolution efforts to meet SLAs
• Ensure security, compliance, and risk controls are embedded into design, development, and support activities, including appropriate handling of sensitive data when using AI tools
• Actively participate in and lead code reviews and technical design discussions, providing clear, constructive feedback
• Mentor and support junior engineers, sharing knowledge on technology, domain context, and effective use of AI tools
• Build strong domain expertise in the assigned business area and help identify AI use cases that create measurable technical or business impact
• Communicate technical status, risks, tradeoffs, and recommendations clearly to team members and stakeholders
• Demonstrate ongoing growth in technical leadership, decisionmaking, system ownership, and responsible AI usage