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Wells Fargo is seeking a Lead Software Engineer in Cybersecurity as part of Identity Access Management Engineering. Learn more about career areas and business divisions at wellsfargojobs.com. The Lead Software Engineer will assist in the modernization of our Identity & Access Management (IAM) data platforms and applications. This role will drive the transformation of legacy SQL environments into a Google Cloud Platform (GCP) Lakehouse architecture, enabling scalable, secure, and efficient data solutions.
Job Responsibility
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions
Understand and account for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production environments
Ensure AI usage aligns with security, compliance, privacy, and ethical standards
Requirements
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Expertise in at least one programming language (Python, Java, or Go)
strong API development skills
Hands-on experience with cloud-native development and GCP (or similar cloud platforms)
Proficiency in containerization and orchestration (Docker, Kubernetes)
Strong understanding of IAM concepts, security best practices, and compliance
Experience with data engineering, distributed systems, and PySpark
Knowledge of data integration, governance, and modern data architectures (data lakes/lakehouses)
Proven ability to lead application modernization and cloud migration project
Familiarity with semantic modeling and consumption patterns
Experience with .NET and SQL Server is a plus
Excellent communication, leadership, and collaboration skills
Nice to have
Experience with .NET and SQL Server
What we offer
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance