Hybrid role in Charlotte, NC with the opportunity to help shape a Cyber AI platform focused on secure, highly available, scalable, isolated, and resilient execution environments. Wells Fargo seeks a Principal Engineer for the Cybersecurity AI team to design and evolve VoltAIre and lead architectural direction across cloud, Kubernetes, and distributed systems, with hands-on involvement from prototyping through production.
What you’ll do
- Serve as an architecture advisor to influence design across applications, cloud infrastructure, networking, information security, data platforms, Kubernetes, and distributed systems for highly complex Cyber AI workloads.
- Provide technical leadership for the evolution of VoltAIre, establishing reusable platform capabilities and architectural patterns for Cyber AI workloads across cloud and on-premises environments.
- Design and influence Cyber AI applications, including vulnerability scanners, knowledge assistants, security services, and AI-enabled applications, covering the path from application architecture through production deployment and operation.
- Assess workload characteristics and select fit-for-purpose architectures across security, isolation, availability, scalability, resiliency, performance, operational complexity, and cost.
- Define deployment and isolation patterns spanning shared Kubernetes clusters with namespace-based isolation, dedicated clusters, separate regions, and separate infrastructure or cloud providers.
- Architect highly available and resilient systems supporting elastic scaling, active/active, active/passive, and disaster recovery patterns aligned to workload requirements.
- Drive architectural direction across Kubernetes, load balancing, application networking, compute, storage, SQL and NoSQL technologies, observability, and distributed application design.
- Design and re-engineer critical software components when deeper systems-level work is needed for performance, security, concurrency, reliability, or resource efficiency.
- Establish and evolve platform capabilities for logging, monitoring, telemetry, observability, security, adaptive runtime optimization, and intelligent workload routing.
- Lead resolution of complex and unique technical challenges spanning applications, infrastructure, cloud, cybersecurity, and enterprise technology environments.
- Translate advanced technology experience and business requirements into long-term scalable engineering solutions, articulating architectural alternatives and trade-offs.
- Move solutions from architecture and prototyping through implementation, production deployment, troubleshooting, and continuous optimization.
- Stay current on emerging technologies and engineering practices across cloud-native platforms, distributed systems, cybersecurity, Generative AI, Agentic AI, and systems engineering, recommending innovations to advance platform capabilities.
- Collaborate strategically with engineers, architects, product teams, cybersecurity partners, and leadership across the enterprise as an expert technical advisor.
- Mentor senior and staff engineers, helping establish reusable engineering patterns and practices across platform and application engineering.
What you’ll bring
- 7+ years of engineering experience, or an equivalent combination of work experience, training, military experience, and/or education.
- 7+ years of senior engineering experience, including architecture and hands-on delivery of large-scale platforms, distributed applications, and production systems.
- 3+ years of hands-on experience with cloud architectures, including Google Cloud Platform, Microsoft Azure, AWS, or comparable enterprise cloud technologies.
- Demonstrated experience designing, building, and operating applications and services on Kubernetes or comparable container orchestration platforms.
- Experience with distributed systems and application architecture, including networking, load balancing, APIs, data flows, concurrency, persistence, scalability, and failure handling.
- Experience using SQL and/or NoSQL data technologies and evaluating technology choices based on workload and production requirements.
- Experience designing highly available and resilient production systems, including scaling, redundancy, failure recovery, and disaster recovery considerations.
- Ability to operate at both hands-on technical depth and strategic architecture level, translating complex technical decisions and trade-offs for engineering teams and leadership.
Technology focus
VoltAIre, Google Cloud Platform, Microsoft Azure, AWS, Kubernetes, SQL, NoSQL, SAST, DAST, GitHub Copilot, Generative AI, Agentic AI, Cyber AI.
Hybrid work expectations and AI tool use
- Hybrid work schedule.
- Not eligible for Visa sponsorship.
- Demonstrate proficiency using AI-assisted development and analysis tools (for example, GitHub Copilot and approved code-centric agents).
- Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting.
- Validate and integrate AI-assisted outputs using strong technical judgment.
- Understand and account for model limitations, security risks, and operational considerations.
- Apply AI responsibly in development and production environments, ensuring alignment with security, compliance, privacy, and ethical standards.
Compensation
- $159,000 - $254,000 base pay range for Charlotte, NC
- $191,000 - $305,000 base pay range for Menlo Park, CA
- Pay may vary based on factors including prior performance, skills, experience, and work location. Employees may also be eligible for incentive opportunities.
Benefits
- 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
Equal opportunity
Wells Fargo is an equal opportunity employer. Consideration is provided 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. The company emphasizes risk mitigation and compliance, proactive monitoring and governance, risk identification and escalation, and sound risk decisions aligned to business unit risk appetite and program requirements.
Additional hiring information
- Third-party recordings are prohibited unless authorized by Wells Fargo.
- Applicants must directly represent their own experiences during recruiting and hiring.
- Be prepared to provide accurate information and supporting documentation for employment and education verification.
- To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
- Wells Fargo maintains a drug-free workplace. See the Drug and Alcohol Policy to learn more.
Posting end date: 9 Nov 2026
