Senior Software Engineer (.NET Full Stack Developer)
Wells Fargo is seeking a Senior Software Engineer (.NET Full Stack Developer). 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 client 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:
4+ years of hands-on experience in full stack Software Enterprise Application design and development.
Experience in designing/developing Banking applications is desirable.
Expertise in designing and developing enterprise applications using Technology stack like .NET core, C#, web services, Cloud native design/technology, SOAP/REST, Angular, JavaScript/TypeScript/CSS/HTML5/jQuery, Microservices Architecture Patterns, Hibernate, Databases (RDBMS/NOSQL), Event Driven Architecture – Kafka and Devops tools
Experience working on SQL server, NOSQL, MongoDB and any one relational DB such as SQL Server
Experience in transforming Monolith/legacy applications to Microservice Architecture.
Very good knowledge/Experience in designing and developing Scalable, Secure, resilient, Cloud Ready Application using "12 factor principles" to ensure that the application runs on cloud environments (AWS, PCF, Docker, Kubernetes).
Good working knowledge and experience in continuous integration frameworks like Jenkins.
Good working knowledge and experience in testing, Automation, Selenium, BDD.
Good Working knowledge of Gen AI (generative AI), Agentic AI, working with LLMs
Container Technologies such as Kubernetes, Docker, PKS
Good to have - Certifications on Azure, GCP, PCF
Experience using GitHub Copilot and other Gen AI tools for productivity
Experience working with LLMs, NLP, Gen AI models
Job Expectations:
Responsible for designing resilient, scalable and secure platform solutions.
Ability to develop and maintain web applications based on .NET framework, latest UI technologies and WCF/Web API services
Strong in RDBMS and SQL database concepts to support the team in database archival strategies and performance tuning.
Designing and developing Gen AI and Agentic AI based solutions
Work closely with infrastructure, security, support and architecture groups to sunrise and sunset platform products.
Understand the technology touch points for integrating composite service capabilities like Document Understanding, Process Mining etc., with core platform products to provide end-to-end business solution for stakeholders.
Work along with RPA vendors, work on product roadmaps, test new releases & rollout upgrades
Identify gaps in vendor products, fill gaps with custom engineering and develop tools
Identifying and communicating the technical infrastructure requirements.
Designing application solutions in accordance with standard automation design principles and standards.
Creating and maintaining solution documentation.
Supporting existing processes and implementing change requirements as part of a structured change control process.
Provide timely responses and solutions to the ongoing challenges.
Supporting the business teams during the UAT and rollout phases
Providing guidance, training and up-skilling the development team as required
Work closely with the development teams to review the deliverables and assist in development, testing, bug-fixes, etc.
Conduct code reviews, provide demonstration of the application solution to various stakeholders
Deployment of defined front line risk methodology for efficient risk governance.
Periodically review infrastructure capacity, plan & scale accordingly.
Identifying process improvements and implement possible solutions