Cybersecurity SRE Principal Engineer

Wells Fargo•Columbus, OH

1d•$159,000 - $254,000•Hybrid

About The Position

Wells Fargo is back in the office, collaborating for fabulous outcomes! This role is in the office three days a week and a hybrid position. There is no visa sponsorships or visa transfer for this role. At Wells Fargo, we’re investing in senior engineering leadership to help shape and advance enterprise-scale platforms that underpin critical business capabilities. As a Principal Engineer, you’ll operate at the intersection of architecture, engineering excellence, and cross-functional influence—bringing clarity to complex, systemic challenges and driving solutions that strengthen performance, scalability, and resilience across the technology landscape. This role is designed for a seasoned technologist who can think holistically, engage credibly with senior leaders, and champion strategies that elevate engineering outcomes across the enterprise. The Principal Engineer will assist in the modernization of our Identity & Access Management (IAM) data platforms and applications. You’ll define the technical strategy and architecture, guide design and standards, and partner with product, data, security, and platform teams to deliver a high-availability, zero-trust-aligned IAM platform that powers enterprise-scale identity analytics, access intelligence, and controls automation. Apply now if you’re excited about building modern data platforms from the ground up, driving transformation, and influencing the technical direction of a major initiative.

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Deep expertise in cloud platforms (GCP preferred), container orchestration (Kubernetes), and DevOps tooling
Deep understanding of data engineering, integration, and governance principles
Proven track record of leading large-scale migrations from on-prem to cloud-native architectures
Expertise in application modernization patterns (e.g., microservices, serverless, event-driven architectures)
Familiarity with data migration strategies, including database modernization and ETL processes.
Experience with modern architectures (microservices, data lakehouses) and distributed systems
Experience designing identity analytics, risk scoring, or access intelligence at enterprise scale
Hands-on with Dataplex, Data Catalog, Vertex AI feature stores or model governance in a regulated environment
Background in observability and SRE practices (SLOs, error budgets, incident response)
Familiarity with BeyondCorp/zero trust, Privileged Access Management (PAM), and secrets management (e.g., HashiCorp Vault, GCP Secret Manager)
Exposure to multi-cloud or hybrid identity systems and directory services
Certifications: Google Professional Cloud Architect (or Data Engineer/Security Engineer), CISSP, CCSP, CISM

Responsibilities

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
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