*About this role:** Wells Fargo is seeking a Principal Engineer for Chief Development Experience Office / Quality and Test Engineering organization which enables critical test engineering product development to enable the Technology organization to achieve transformation. The function is positioned to build, engineer and evangelize Test Engineering products for the Technology organization **In this Role** The Principal Engineer is a senior individual contributor responsible for end‑to‑end technical architecture, design governance, and engineering leadership for cloud‑native platforms and performance testing capabilities. This role defines target‑state architectures, drives technology strategy, and acts as the technical authority across Azure, OpenShift (Kubernetes), and enterprise performance testing platforms such as LoadRunner and BlazeMeter, ensuring solutions are secure, scalable, resilient, and compliant with enterprise architecture standards. This role operates at system, platform, and enterprise scale, influencing multiple teams, products, and lines of business. **Core Responsibilities** **1**. Architecture \& Design Leadership * Own current‑state and target‑state architecture for cloud‑native and performance engineering platforms across Azure and OpenShift. * Produce and govern architecture specifications, solution designs, and reference architectures aligned to enterprise architecture practices and * Lead architecture reviews (CAR / design forums), identify gaps, risks, and non‑compliance, and drive remediation plans. * Ensure architectures meet security, resiliency, scalability, performance, and regulatory requirements. 2\. Cloud \& Platform Engineering Expertise (Azure \& OCP) * Architect and guide implementation of cloud‑native platforms using: + Microsoft Azure (IaaS, PaaS, networking, identity, security) + OpenShift / Kubernetes for container orchestration and workload isolation * Define standards for: + Multi‑cluster OCP design + Networking, ingress, service mesh, and secrets management + Observability, logging, and capacity planning * Influence platform roadmap decisions based on scalability, cost, and operational maturity. 3\. Performance Engineering Architecture (LoadRunner \& BlazeMeter) * Act as technical authority for enterprise performance testing strategy and platforms. * Design and evolve performance testing architectures using: + LoadRunner for enterprise‑grade protocol coverage + BlazeMeter for cloud‑native, CI/CD‑driven, Kubernetes‑based load generation * Define shift‑left performance testing models integrated into CI/CD pipelines. * Standardize: + Test execution models + Baseline definitions + Result analysis and reporting frameworks * Guide migration and coexistence strategies between LoadRunner and BlazeMeter where applicable. 4\. Technical Governance \& Standards * Define and enforce engineering and architecture standards, patterns, and best practices across teams. * Partner with Enterprise Architecture and Governance to ensure alignment with federated architecture models * Review and approve: + Design documents + Non‑standard technology requests + Architecture deviations and risk acceptances * Ensure tooling lifecycle governance (sunrise, standard, restricted, sunset). 5\. Engineering Leadership \& Influence * Serve as principal technical mentor for senior engineers, architects, and platform leads. * Provide hands‑on guidance for: + Complex design challenges + Performance bottlenecks + Cloud and Kubernetes failure scenarios * Influence technical direction without formal authority across multiple teams and products. * Drive technical decision‑making forums, architecture walkthroughs, and design deep dives. 6\. Delivery \& Operational Excellence * Partner with product, platform, and delivery teams to ensure: + Designs are implementable and operable + Non‑functional requirements are met before production * Guide teams on: + Capacity planning + Resiliency testing + Performance readiness and production sign‑off * Ensure solutions support operational readiness, SRE practices, and continuous improvement. **Required Qualifications:** * 7\+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education **Desired Qualifications:** * Cloud Architecture: Microsoft Azure (enterprise‑scale design) * Container Platforms: OpenShift / Kubernetes (advanced) * Performance Engineering: LoadRunner, BlazeMeter, JMeter ecosystem * CI/CD Integration: Performance testing within DevOps pipelines * Architecture Governance: Architecture specs, standards, reviews * Advanced Capabilities * Distributed systems design * Scalability and capacity modeling * Security‑by‑design and compliance * Platform observability and reliability engineering * Technology evaluation and strategic trade‑off analysis **Job Expectations:** 1\) End‑to‑End Software Development * Develop responsive front‑end applications using React / Angular / Vue. * Build robust back‑end services using Java/Spring Boot, Node.js, .NET Core, or Python. * Design and implement RESTful and GraphQL APIs. * Build scalable, modular, and maintainable codebases using industry best practices (SOLID, DRY, 12‑factor). * Leverage Generative AI tools (GitHub Copilot, ChatGPT‑style assistants, Azure OpenAI) to accelerate coding, improve code quality, and automate repetitive development tasks. * Use GenAI to create boilerplate code, unit tests, API mocks, and documentation while ensuring compliance with enterprise coding and security standards. * Apply responsible AI usage by validating generated code, ensuring correctness, security, and production readiness. 2\) Cloud Engineering – Azure * Architect and deploy cloud‑native applications on Azure App Service, AKS (Azure Kubernetes Service), Functions, Service Bus/Event Hub, Azure SQL, Cosmos DB, Storage Accounts, API Management, and Key Vault. * Implement secure network architecture including VNets, private endpoints, RBAC, and network security controls. * Optimize workloads for cost, performance, and scalability using autoscaling, caching, and cloud‑native design principles. * Integrate observability using Azure Monitor, Application Insights, and distributed tracing. 3\) Container Platform – OpenShift * Containerize services using Docker/Buildah and push hardened images to enterprise registries. * Deploy applications on Red Hat OpenShift using deployments, routes/ingress, config maps, secrets, HPA, probes, and resource constraints. * Manage Kubernetes/OpenShift objects using Helm charts, Kustomize, and Operators. * Apply OpenShift security best practices (non‑root containers, SCCs, image policies). 4\) DevOps \& CI/CD Automation * Build end‑to‑end pipelines via Azure DevOps, GitHub Actions, or Jenkins for build, test, security scans, containerization, deployment, and observability checks. * Implement Infrastructure‑as‑Code (IaC) with Terraform or Bicep for cloud provisioning. * Automate testing stages: unit, integration, contract, API, and UI (Cypress/Playwright). * Integrate quality gates: SAST, DAST, dependency scanning, container scanning, and SBOM generation. * Enable progressive delivery using blue/green, canary, and automated rollback strategies. 5\) Non\-Functional Requirements , Reliability, Observability \& Operational Excellence * Instrument applications with OpenTelemetry, Application Insights, or Prometheus/Grafana. * Implement dashboards, alerts, SLIs/SLOs for performance and reliability. * Conduct root‑cause analysis (RCA) for incidents and improve system resilience. * Enhance performance through caching, async design, circuit breaker patterns, and efficient database access. * Ensure Non\-Functional requirements in terms of retry logic , circuit breakers , latency are adhered 6\)…