About this role:
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 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

Required Qualifications:

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

Desired Qualifications:

• Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Experience in the Cloud technologies like OpenShift /PCF etc.
• Proficiency in developing web-based applications, should have experience in UI and Server technologies (ANGULAR / React, Spring Framework, JDBC, JavaBeans).
• Experience in developing client-side UI components using Angular / React.
• Experience in developing the functionalities, enhancements and bug fixes for application (UI/Backend) by consuming and exposing services.
• Designing, implementing and maintaining Java services with well-designed, efficient and test driven code.
• Experience in Developing Restful Web services and Micro services in java by using Spring boot.
• Develop service/business layer components using Spring and EJBS.
• Should be able to design and develop MVC restful services using JAVA spring boot (MVC) with Oracle/SQL Server Database.
• Strong knowledge of Junit/TestNG, Selenium frameworks.
• Architect and Design:
• Define and implement cloud-native architectures leveraging GCP services (Big Query, Iceberg, Cloud Storage, Kubernetes Engine, Cloud Functions, Pub/Sub, Feature Store etc.).
• Design cross platform consumption patterns, microservices, and event-driven architectures for high availability and scalability.
• Technical Skills:
• Expertise in GCP services: Big Query, Iceberg, Cloud Storage, Kubernetes Engine, Apache spark flow, Airflow
• Strong programming skills in Python, Java, and SQL.
• Strong experience building big data pipelines using Apache Spark, Hive, Hadoop.
• Experience with Autosys/Airflow or similar orchestration tools
• Working knowledge of REST APIs, Object Storage, Dremio, and CI/CD pipelines
• Cloud-native engineering experience - serverless, managed Spark, event-driven architectures.
• Familiarity with containerization (Docker, K8s) and workflow operators.
• Strong experience implementing test automation for data pipelines (unit, contract, integration tests).

Job Expectations:

• Involve in end -end lifecycle of Product/Application development, analyze highly complex business requirements, designs and writes technical specifications to design or redesign complex modules and applications.
• Develop highly complex original code and provide coding direction to junior team members
• Proficiency with Agile, DevOps practices, delivering Cloud solutions. Experience with delivering projects using Agile software development techniques.
• Advanced knowledge of object oriented design and development (OOA/OOD) and the JAVA patterns and practices
• Must possess innovative and Out-of-box thinking while developing advanced technical solutions to business problems and grab opportunities to improve system resiliency.
• Collaborate with cross-functional teams to build scalable, high‑performance data solutions using Python, SQL, Spark, Iceberg, Dremio, and Autosys.
• Design, build, test, deploy, and maintain large-scale structured and unstructured data pipelines using Python, SQL, Apache Spark, and modern data lake/lakehouse technologies.
• Work with open table formats such as Iceberg,
• Compute: Spark on K8s / Openshift
• Query/Analytics: Dremio
• Orchestration: Airflow on Kubernetes
• Storage: Iceberg, S3/NetApp strage
• Messaging/Search: Kafka