Cybersecurity AI Principal Engineer

Wells Fargo

Confirmed live yesterday High trust

Closes tomorrow Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NCMenlo Park, CA
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Closes: Nov 10, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $195k

$131k $249k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,600–$233,425.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 32 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 15 roles with salary data.

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At a glance

TL;DR · Cybersecurity AI Principal Engineer

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The Cybersecurity AI Principal Engineer joins the Cybersecurity AI team to design and evolve VoltAIre, a platform providing secure, scalable, and resilient execution environments for diverse Cyber AI workloads. This role involves providing technical leadership to establish reusable architectural patterns across Google Cloud and on-premises environments. You will design and influence applications such as vulnerability scanners, knowledge assistants, and AI-enabled security services. Key responsibilities include defining deployment patterns for Kubernetes clusters, managing load balancing, and re-engineering software components for performance and concurrency. You will utilize SQL, NoSQL, and languages like Rust, Go, Python, or Java. The work focuses on solving complex problems in distributed systems, observability, and infrastructure isolation to support Generative AI and Agentic AI capabilities within a highly regulated enterprise environment.

Skills

Kubernetes Google Cloud Platform AWS Microsoft Azure Python Go Rust Java SQL NoSQL Distributed Systems Observability Generative AI Agentic AI SAST DAST Load Balancing Networking GitHub Copilot

What you'll do

Design and evolve the VoltAIre platform to provide secure, scalable, and resilient execution environments for Cyber AI workloads.
Establish reusable platform capabilities and architectural patterns across Google Cloud and on-premises cloud environments.
Design Cyber AI applications including vulnerability scanners, knowledge assistants, and AI-enabled security services.
Define workload deployment and isolation patterns using Kubernetes clusters, namespaces, and multi-cloud infrastructure.
Design highly available architectures supporting elastic scaling, active/active patterns, and disaster recovery.
Re-engineer critical software components to improve performance, security, concurrency, and resource efficiency.
Establish platform capabilities for logging, monitoring, telemetry, observability, and intelligent workload routing.
Mentor senior and staff engineers to establish reusable engineering patterns and raise the technical bar.

What we're looking for

7+ years of engineering experience, including senior engineering experience with architecture and hands-on delivery of large-scale platforms.
3+ years of hands-on experience with cloud architectures such as Google Cloud Platform, Microsoft Azure, or AWS.
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, and scalability.
Experience designing solutions using SQL and/or NoSQL data technologies based on workload and production requirements.
Experience designing highly available and resilient production systems, including scaling, redundancy, and disaster recovery.
Strong software engineering background in Rust, Go, Python, or Java with systems programming experience (preferred).
Experience with hybrid or multi-cloud architectures spanning public cloud and on-premises infrastructure (preferred).

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