Software Engineering Manager

Wells Fargo•Iselin, NJ

4d•$119,000 - $224,000•Hybrid

About The Position

Wells Fargo is seeking a Software Engineering Manager to join the GPLT Testing CoE team. This role is ideal for an experienced QA leader with expertise in test automation and AI-driven quality engineering to drive modern QA strategy, shift-left practices, and intelligent automation. In this role, you will lead, coach, and scale QA teams (manual + automation), including developing emerging leaders. You will define and execute QA strategy aligned with Agile/DevOps and shift-left quality practices. You will build and oversee scalable automation frameworks across web, mobile, APIs, and microservices, increasing coverage and reducing manual effort. You will drive adoption of modern tools and integrate automation into CI/CD pipelines to enable faster, higher-quality releases. You will apply AI/ML to improve testing efficiency (test generation, defect prediction, self-healing) and leverage data-driven insights. You will ensure quality, compliance, and reliability across payment systems (SWIFT, RTP, FedNow, CHIPS, ISO 20022). You will establish QA standards, KPIs, dashboards, and lead test planning, risk assessment, and release approvals. You will partner with architects and product teams to support cloud modernization, architecture alignment, and roadmap delivery. You will remove technical roadblocks, provide hands-on guidance (code reviews/design), and drive continuous improvement. You will ensure security, scalability, and risk compliance across solutions. You will manage vendors, hiring, resource allocation, and team performance.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience in Quality Assurance
2+ years of Leadership experience
Strong hands-on experience in test automation frameworks and programming (Java, Python, TypeScript, or similar)
Proven experience implementing AI/ML-based testing solutions or tools
Deep understanding of Agile, DevOps, and CI/CD practices
Experience with API testing, microservices architecture, and cloud platforms
Understanding of SWIFT/ISO 20022, FedNow principles, fraud and risk controls, and secure coding/testing practices

Nice To Haves

Experience with AI-driven QA tools (e.g., GitHub Copilot, intelligent test platforms)
Exposure to SRE/observability tools (Splunk, Dynatrace, App Insights)
Knowledge of Docker and Kubernetes
Relevant certifications (ISTQB, Agile, AI/ML)
Proven ability to drive automation strategy, CI/CD integration, and data-driven decision making

Responsibilities

Lead, coach, and scale QA teams (manual + automation), including developing emerging leaders
Define and execute QA strategy aligned with Agile/DevOps and shift-left quality practices
Build and oversee scalable automation frameworks across web, mobile, APIs, and microservices, increasing coverage and reducing manual effort
Drive adoption of modern tools and integrate automation into CI/CD pipelines to enable faster, higher-quality releases
Apply AI/ML to improve testing efficiency (test generation, defect prediction, self-healing) and leverage data-driven insights
Ensure quality, compliance, and reliability across payment systems (SWIFT, RTP, FedNow, CHIPS, ISO 20022)
Establish QA standards, KPIs, dashboards, and lead test planning, risk assessment, and release approvals
Partner with architects and product teams to support cloud modernization, architecture alignment, and roadmap delivery
Remove technical roadblocks, provide hands-on guidance (code reviews/design), and drive continuous improvement
Ensure security, scalability, and risk compliance across solutions
Manage vendors, hiring, resource allocation, and team performance