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Wells Fargo is seeking a Software Engineer Developers with solid experience into microservice architecture, having an innovative mindset and with a blend of scripting, developing, and testing skills with exposure to devops process. 2+ years' experience of hands-on IT experience in developing highly integrated, secure web-based applications using Java/J2EE Work with development teams and product owners to ideate software solutions
Job Responsibility
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
Participate in low-complexity to moderately complex technology initiatives, including development, upgrades, and deployments
Design, code, test, debug, and document solutions with guidance from senior team members, leveraging approved AI tools where appropriate
Apply an AI-first mindset by using AI tools to assist with code generation, reviews, testing, troubleshooting, and documentation while adhering to enterprise guidelines
Follow established engineering standards, patterns, and best practices, including responsible AI and data usage policies
Assist in identifying opportunities to improve service quality, stability, availability, and developer efficiency
Investigate and resolve common technical issues, using both traditional debugging techniques and AI-assisted analysis, escalating when needed to meet SLAs
Apply prescribed security, compliance, and risk controls in development and support activities, including proper handling of sensitive data when using AI tools
Participate in code reviews and design discussions as an active contributor and learner
Build foundational understanding of the assigned technology domain, business context, and AI use cases within the organization
Communicate status, questions, and issues clearly to technology peers and stakeholders
Demonstrate steady growth in technical skills, confidence, and responsible AI usage
Design client-side and server-side architecture
Build the front-end of applications through appealing visual design
Develop and manage well-functioning databases and applications
Write effective APIs test software to ensure responsiveness and efficiency
Create security and data protection settings
Build features and applications with a mobile responsive design
Write technical documentation
Work with architects and analysts to improve software
Perform peer code reviews
Experience of testing frameworks ex
Junit/Selenium/Cucumber
The developer is expected to write and execute functional test cases as part of Agile team
Relationship experience with business partners (SMES, stakeholders, PMs) and technology partners (data analysts, application developers, QA analysts)
Ability to assess and solve problems, grasp concepts quickly, and design solutions
Requirements
2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Approximately 2+ years of professional experience in software engineering or application development
Experience working with Java, Kafka, Python programming languages or frameworks relevant to the team's technology stack
Demonstrated interest in applying AI-assisted development practices to improve productivity and code quality
Exposure to AI-powered engineering tools (e.g., code assistants, test generation tools, documentation helpers, or internal AI platforms)
Good understanding of the software development life cycle (SDLC) and Agile delivery practices
Familiarity with AI and source control tools and standard development workflows
Exposure to deployment, upgrade, or environment support activities
Foundational knowledge of databases, APIs, or system integrations
Awareness of security, risk, data privacy, and compliance expectations, including responsible use of AI tools
Ability to troubleshoot straightforward technical issues using documentation, AI-assisted insights, and team guidance
Willingness to continuously learn emerging technologies, including AI capabilities relevant to the technology domain
Clear communication skills and ability to work effectively with team members and internal partners
Nice to have
Approximately 2+ years of professional experience in software engineering or application development
Experience working with Java, Kafka, Python programming languages or frameworks relevant to the team's technology stack
Demonstrated interest in applying AI-assisted development practices to improve productivity and code quality
Exposure to AI-powered engineering tools (e.g., code assistants, test generation tools, documentation helpers, or internal AI platforms)
Good understanding of the software development life cycle (SDLC) and Agile delivery practices
Familiarity with AI and source control tools and standard development workflows
Exposure to deployment, upgrade, or environment support activities
Foundational knowledge of databases, APIs, or system integrations
Awareness of security, risk, data privacy, and compliance expectations, including responsible use of AI tools
Ability to troubleshoot straightforward technical issues using documentation, AI-assisted insights, and team guidance
Willingness to continuously learn emerging technologies, including AI capabilities relevant to the technology domain
Clear communication skills and ability to work effectively with team members and internal partners