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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; collaborate and consult with peers, colleagues, and mid-level managers; lead projects and act as an escalation point.
Job Responsibility:
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
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Domain experience in Client Onboarding, KYC, AML, or Enterprise Integration platforms
Exposure to Docker, Kubernetes, and containerized deployments
Experience with cloud platforms (OCP)
Knowledge of observability tools (logging, monitoring, tracing)
Familiarity with security best practices in distributed systems
Strong problem-solving and analytical skills
Excellent communication and cross-team collaboration skills
Ownership mindset with a focus on quality and reliability
Design, develop, and maintain highly scalable microservices using Java and Spring Boot
Build and optimize event-driven architectures using Apache Kafka
Develop cloud-native applications following best practices for scalability, resiliency, and observability
Apply core Java concepts extensively, including multithreading, concurrency, memory management, and performance tuning
Work on client onboarding systems, including integrations, validations, workflows, and data processing (nice to have)
Design and optimize database schemas and queries using SQL Server and/or Oracle
Implement and maintain CI/CD pipelines for automated build, test, and deployment
Ensure high code quality through code reviews, unit/integration testing, and design discussions
Collaborate with cross-functional teams to define technical solutions aligned with business requirements
Troubleshoot production issues and improve system reliability and performance
Strong expertise in Core Java
Multithreading & concurrency
Collections, JVM internals, and performance optimization
Hands-on experience with Spring Boot and Microservices architecture
Strong experience with Apache Kafka (producers, consumers, partitions, offset management)
Solid understanding of RESTful APIs, API security, and integration patterns
Experience working with SQL Server and/or Oracle
Strong background in cloud-native design principles
Stateless services
Scalability, resilience, fault tolerance
Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions.)
Proficiency with Git and modern development workflows
Working experience with React.js
Understanding of modern JavaScript (ES6+), HTML, and CSS
Familiarity with frontend build tools and component-based architecture
Experience integrating React applications with backend APIs
Nice to have:
Domain experience in Client Onboarding, KYC, AML, or Enterprise Integration platforms
Work on client onboarding systems, including integrations, validations, workflows, and data processing