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Engineering Manager
Wells Fargo. Manage and develop a team of engineers delivering GenAI and full-stack solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing engineering teams and delivering full-stack solutions, with a strong focus on GenAI, cloud-native applications, and compliance with security and regulatory standards. Proven ability to lead complex technology initiatives and drive cross-functional collaboration.
Highest-signal resume keywords
Full-Stack DevelopmentGenAI SolutionsCloud-Native ApplicationsLeadership ExperienceMicroservice Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaNode.jsPythonCI/CDAPI IntegrationDistributed SystemsAutomation WorkflowsAgentic AI FrameworksRAGPrompt Engineering
Soft Skills
MentoringStakeholder InfluenceCross-Functional Collaboration
Tools & Technologies
GCPAWSAzureEnterprise Automation PlatformsContact Center Technologies
Industry Keywords
AI ProgramsTechnology InitiativesPerformance ManagementResource AllocationRegulatory Compliance
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptNode.jsPython
About the role
Key responsibilities & impact- Manage and develop a team of engineers delivering GenAI and full-stack solutions
- Lead execution of complex technology initiatives including enterprise-wide AI programs
- Oversee the design and delivery of Agentic AI systems and automation workflows
- Drive development of end-to-end full-stack solutions including UI, APIs, and cloud platforms
- Partner with architects to ensure solutions follow enterprise standards and best practices
- Collaborate with product, business, and data science teams to translate requirements into solutions
- Ensure delivery of high-quality solutions through CI/CD, testing, and observability
- Manage resource allocation, project planning, and delivery timelines
- Mentor and coach engineers including hiring and performance management
- Ensure solutions comply with security, risk, and regulatory requirements
Requirements
What you’ll need- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 2+ years of Leadership experience
- 2+ years of experience in full-stack development (Java, Node.js, Python)
- 1+ year of experience delivering cloud-native applications (GCP, AWS, or Azure)
- 1+ year of experience leading complex technology initiatives
- 1+ year of experience managing engineering teams
- 1+ year of Microservice build out experience
- Experience with GenAI, LLMs, or conversational AI solutions
- Experience with Agentic AI frameworks and multi-agent architectures
- Exposure to RAG, prompt engineering, or AI evaluation frameworks
- Experience in contact center technologies or enterprise automation platforms
- Strong understanding of distributed systems and API integrations
- Ability to influence stakeholders and drive cross-functional alignment
- Ability to work on-site at approved location listed
- Relocation assistance is not available for this position
Benefits
Comp & perks- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement