Join Wells Fargo’s Cybersecurity AI team to help design and evolve VoltAIre, a Cyber AI platform built for secure, highly available, scalable, isolated, and resilient execution environments. This hybrid role in Charlotte, NC combines platform and application architecture with hands-on engineering across distributed systems, cloud infrastructure, and Kubernetes, with a direct focus on cyber AI workloads such as SAST/DAST scanners and knowledge assistants.
What you will do
- Advise leadership on architecture spanning 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, creating reusable platform capabilities and architectural patterns for Cyber AI workloads across cloud and on-premises environments.
- Design and influence Cyber AI applications end to end, from application architecture through production deployment and operation, including vulnerability scanners, knowledge assistants, security services, and AI-enabled applications.
- Evaluate workload characteristics and select fit-for-purpose architectures based on security, isolation, availability, scalability, resiliency, performance, operational complexity, and cost.
- Define workload deployment and isolation patterns across shared Kubernetes clusters with namespace-based isolation, dedicated clusters, separate regions, and separate infrastructure or cloud providers.
- Design highly available and resilient architectures that support elastic scaling, active/active, active/passive, and disaster recovery patterns aligned to workload requirements.
- Provide 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 performance, security, concurrency, reliability, or resource efficiency requires deeper systems-level work.
- Establish and evolve platform capabilities for logging, monitoring, telemetry, observability, security, adaptive runtime optimization, and intelligent workload routing.
- Lead the strategy and resolution of highly complex and unique technical challenges across applications, infrastructure, cloud, cybersecurity, and enterprise technology environments.
- Drive solutions from architecture and prototyping through implementation, production deployment, troubleshooting, and continuous optimization.
- Stay current with emerging technology and engineering practices across cloud-native platforms, distributed systems, cybersecurity, Generative AI, Agentic AI, and systems engineering, and recommend innovations that strengthen platform capabilities.
- Engage with senior engineering, architects, product teams, cybersecurity partners, and leadership as an expert technical advisor.
- Mentor senior and staff engineers and help establish reusable engineering patterns and practices across platform and application engineering.
Required experience
- 7+ years of engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, and 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 cloud architecture experience with Google Cloud Platform, Microsoft Azure, AWS, or comparable enterprise cloud technologies.
- Demonstrated experience 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 designing solutions 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 with scaling, redundancy, failure recovery, and disaster recovery considerations.
- Ability to operate across both hands-on technical depth and strategic architecture, translating trade-offs for engineering teams and leadership.
Tools and technologies
VoltAIre, Google Cloud Platform, Microsoft Azure, AWS, Kubernetes, SQL, NoSQL, SAST, DAST, GitHub Copilot, Generative AI, Agentic AI, Cyber AI.
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
Additional job expectations
- Hybrid work schedule.
- This position is not eligible for Visa sponsorship.
- Demonstrate proficiency using AI-assisted development and analysis tools (for example, GitHub Copilot and approved code-centric agents).
- Use AI to accelerate system design, coding, testing, analysis, and troubleshooting.
- Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions.
- 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.
Salary: USD 159,000 - 305,000 per year. Base pay range reflects location: Charlotte, NC ($159,000 - $254,000) and Menlo Park, CA ($191,000 - $305,000). Incentive opportunities may apply.
Posting end date: 9 Nov 2026.
Equal Opportunity: Wells Fargo is an equal opportunity employer. Applicants will receive consideration 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.
Applicants with disabilities: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and alcohol policy: Wells Fargo maintains a drug-free workplace.
Hiring requirements: Third-party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences and to provide accurate information and supporting documentation for any lawful employment and education verification.
