Lead Software Engineer

About the Role

Key Responsibilities

• Accelerate business use cases via Agentic AI with focus on using frameworks like Agent Development Kit (ADK) and LangChain.
• Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release.
• Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies and understand next generation domain architectures to enable application migration paths.
• Identify and recommend opportunities for resolving technology roadblocks including code, build, and deployment issues, while managing the overall software development cycle and security standards.
• Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction.
• Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage, and mitigate technology and enterprise risk.
• Influence technology requirements and priorities in the product roadmaps.

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 2+ years' experience with multi-cloud environments (Azure, GCP, OpenShift) and hands-on experience with cloud-native development and/or cloud migration of applications.
• 6+ months knowledge of retrieval-augmented generation (RAG) and/or agentic workflows in generative AI applications.

Nice to Have

• Proficiency in DevOps tools and practices, including infrastructure as code.
• Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions.
• Financial industry experience or familiarity with regulatory and compliance requirements.
• Demonstrated ability to balance technical excellence with business priorities.
• Expertise in test-driven development methodologies.
• Cybersecurity and Risk Mindset: proactively identifies risks and integrates secure practices into development workflows.
• End-user experience focused: delivers intuitive, valuable solutions that align with employee needs.
• Mission-aligned: shares Wells Fargo's vision of transforming the employee experience through generative AI.

Qualifications

• Educational background or certifications are not explicitly specified, but experience requirements imply formal qualifications in software engineering or related fields.

Benefits & Perks

• Not explicitly specified in the description.