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Principal Engineer

Job in Columbus, Franklin County, Ohio, 43215, USA
Listing for: Wells Fargo
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Information Security & Data Protection
Job Description & How to Apply Below

Principal Engineer in Cybersecurity

Wells Fargo is seeking a Principal Engineer in Cybersecurity as part of Identity Access Management Engineering. Learn more about career areas and business divisions at

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.

In this role, you will:

  • 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., Git Hub 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

Required Qualifications:

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

Desired

Qualifications:

  • Deep expertise in cloud platforms (GCP preferred), container orchestration (Kubernetes), and Dev Ops 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 lake houses) and distributed systems
  • Experience designing identity analytics, risk scoring, or access intelligence at enterprise scale
  • Experience with GraphDB
  • 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 Beyond Corp/zero trust, Privileged Access Management (PAM), and secrets management (e.g., Hashi Corp 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

Locations:

  • 3075 Loyalty Cir.

    - Columbus OH 43219
  • 401 Las Colinas Blvd W Bldg. A
    - Irving, TX…
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