Senior Software Engineer - AI

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:

• 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:

Core Java Development

• Strong understanding of Java SE (Java Standard Edition) and Java EE (Enterprise Edition).
• Proficiency in Object-Oriented Programming (OOP) principles.
• Experience with multithreading and concurrent programming.
• Familiarity with Java collections, streams, and functional programming.

Apache Flink

• Knowledge of stream processing and batch processing concepts.
• Hands-on experience with Apache Flink for real-time data processing.
• Understanding of Flink APIs (DataStream, DataSet, Table API).
• Familiarity with stateful processing and event time processing in Flink.
• Ability to optimize Flink jobs for performance and fault tolerance.

Apache Kafka

• Proficiency in Apache Kafka for distributed messaging and event streaming.
• Understanding of Kafka producers, consumers, and topics.
• Experience with Kafka Streams or Kafka Connect.
• Knowledge of partitioning, replication, and offset management.
• Familiarity with schema management using Confluent Schema Registry or Avro.

Python for Gen AI

• Basic to intermediate knowledge of Python programming.
• Familiarity with Gen AI frameworks like LangChain, Hugging Face Transformers, or OpenAI API.
• Ability to integrate Python-based Gen AI models with Java applications (e.g., via REST APIs or gRPC).
• Understanding of data preprocessing and model inference workflows.

Big Data and Distributed Systems

• Knowledge of distributed systems and data pipelines.
• Familiarity with Hadoop, Spark, or other big data frameworks (optional but helpful).
• Understanding of data serialization formats like Avro, Parquet, or JSON.

DevOps and CI/CD

• Experience with containerization tools like Docker.
• Familiarity with Kubernetes for deploying and managing distributed applications.
• Knowledge of CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.

Cloud Platforms

• Experience with cloud services like AWS, Azure, or Google Cloud.
• Familiarity with managed Kafka services (e.g., AWS MSK, Confluent Cloud).
• Knowledge of serverless computing and cloud-native architectures.

General Skills

• Strong problem-solving and debugging skills.
• Ability to write clean, maintainable, and testable code.
• Familiarity with Agile methodologies and tools like JIRA.
• Good understanding of RESTful APIs and microservices architecture.

Bonus Skills

• Knowledge of machine learning pipelines and data engineering.
• Familiarity with Python-Flask or FastAPI for building lightweight AI services.
• Experience with monitoring tools like Prometheus or Grafana for Kafka and Flink

Posting End Date: 

16 Nov 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.