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About this role:
Wells Fargo is seeking a Lead Software Engineer
In this role, you will:
Required Qualifications:
Desired Qualifications:
. Lead the design, development, and deployment of Machine Learning and AI solutions for enterprise use cases.
. Build scalable ML pipelines for data processing, model training, deployment, and monitoring.
. Develop enterprise-grade applications, APIs, and microservices using Java.
. Design and implement MLOps frameworks to automate model lifecycle management.
. Collaborate with Data Engineering, Platform, and Business teams to deliver AI-driven solutions.
. Develop reusable ML frameworks and accelerators using Python.
. Integrate ML models into enterprise systems through secure, scalable APIs and services.
. Optimize model performance, scalability, and operational reliability.
. Contribute to AI/ML architecture, best practices, and technology modernization initiatives.
. Provide technical leadership, mentoring, and code reviews for engineering teams.
Job Expectations:
. 8-10 years of experience in Software Engineering, Machine Learning, or AI solution development.
. Strong expertise in Python (mandatory) for Machine Learning and data processing.
. Strong expertise in Java (mandatory) for application development, APIs, and microservices.
. Experience with: Scikit-learn, TensorFlow or PyTorch NLP and Generative AI, Model Deployment and MLOps
. Experience developing scalable APIs and microservices using Java, Spring Boot & REST APIs
. Strong problem-solving, stakeholder management, and technical leadership skills.
Posting End Date:
30 Aug 2026We 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.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our 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.
Job ID: 152620689
Skills:
.Net Core, .NET 8, SQL Server, Css3, Microservices, Angular, Typescript, Html5, Azure Cloud Services, Microsoft Azure, Restful Apis, Angular Material, Azure DevOps, ASP.NET Core
Skills:
Spring Boot, Microservices, Java, Saml, Rest Apis, Oauth2, Access Certifications, Saviynt IGA platform, Access Request Management, event-driven architectures, Application Onboarding, Identity Lifecycle Management, messaging frameworks, Enterprise Access Governance, SCIM, OIDC

Skills:
snowflake , Elasticsearch, Spring Boot, Java, Microservices, Devops, RDBMS, Gradle, Oauth, Kafka, Rest Apis, Nosql, Kubernetes, Docker, Git, Scala, Spark, CI-CD
Skills:
Docker, Spring Boot, Restful Apis, Kubernetes, Play Framework, AWS Ecosystem, Distributed Caching Solutions, NoSQL Databases, Microservices Development, SQL Databases, API Management Platforms
Skills:
Data Modeling, Data Structures, Microservices, Nosql, Algorithms, RDBMS, System Design, Rest Apis, Modern frontend development frameworks, Full-Stack Engineering, Caching layers, Queuing systems, AI Tool Fluency