Lead Software Engineer

Lead Software Engineer - Cybersecurity

Wells Fargo is seeking a Lead Software Engineer as part of Cybersecurity.

In this role, you will:

Technical Leadership

• Provide technical leadership for the design, development, deployment, and support of cloud-native IAM applications.
• Lead architecture and design decisions across frontend, backend, API, event-driven, and data platforms.
• Establish technical standards, coding practices, design patterns, and engineering guardrails.
• Conduct code reviews and mentor engineers to drive engineering excellence and technical growth.
• Serve as a trusted advisor to engineering leadership and stakeholders on technology strategy and modernization initiatives.
• Full-Stack Application Development
• Design and develop responsive web applications using React and modern JavaScript frameworks.
• Develop scalable backend services using Java, Spring Boot, Python, REST APIs, and microservice architectures.
• Design and implement event-driven integrations using Kafka and enterprise messaging patterns.
• Build and optimize MongoDB data models, queries, and application persistence layers.
• Integrate with enterprise IAM platforms, identity providers, and security services.

Agile Delivery & DevSecOps

• Lead Agile teams through sprint planning, backlog refinement, estimation, release planning, and production deployments.
• Drive CI/CD automation and DevSecOps practices utilizing GitHub, Jenkins, OpenShift, SonarQube, Fortify, and Black Duck.
• Ensure adherence to SDLC, change management, security, resiliency, audit, and compliance requirements.
• Partner with product and business teams to translate requirements into technical solutions.

Operational Excellence

• Drive application reliability, observability, monitoring, and production support readiness.
• Lead root cause analysis and resolution of complex production issues.
• Implement performance optimization, resiliency, disaster recovery, and scalability improvements.
• Champion automation across testing, deployment, operational support, and engineering workflows.

AI & Innovation

• Drive adoption of AI-assisted software development practices.
• Design and develop AI-enabled user experiences and intelligent workflows.
• Evaluate emerging technologies and recommend innovations that improve customer experience, productivity, and engineering efficiency.
• Support implementation of MCP-based integrations, intelligent agents, and AI-powered automation capabilities where appropriate.

Required Qualifications:

• 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 leading complex software engineering initiatives or Agile teams.
• 5+ years of Java and Spring Boot development experience.
• 5+ years building RESTful APIs and microservices.
• 3+ years of React development experience.
• 3+ years of MongoDB or equivalent NoSQL database experience.
• Experience implementing event-driven architectures using Kafka or similar messaging platforms.
• Experience deploying applications to OpenShift, Kubernetes, or cloud-native platforms.
• Experience with GitHub, CI/CD pipelines, DevSecOps, and automated testing frameworks.
• Strong understanding of application security, authentication, authorization, and IAM concepts.
• Excellent communication, collaboration, and leadership skills.

Desired Qualifications:

• Experience building IAM, IGA, access management, certification, entitlement, or compliance solutions.
• Experience with AI-enabled applications, generative AI platforms, MCP architectures, and intelligent automation.
• Experience with API gateways such as Apigee.
• Experience operating applications within highly regulated financial services environments.
• Experience leading engineering transformation initiatives and developing T-shaped engineering teams.

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• 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

Posting End Date: 13 Sep 2026

*Job posting may come down early due to volume of applicants.

We 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.

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.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy 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.