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Principal Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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. 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.

Job Responsibility:

  • 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
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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
  • Apply secure development lifecycle (SDLC) controls including static and dynamic code scanning.
  • Implement OAuth2.0, OIDC, JWT, certificate‑based auth, and secret management (Key Vault, OpenShift Secrets).
  • Enforce identity and access controls (RBAC), image signing, and policy‑as‑code (OPA/Kyverno).
  • Ensure compliance with enterprise standards for logging, auditability, encryption, and resilience.
  • Work closely with product owners, architects, UX designers, SRE, and platform teams.
  • Participate in sprint ceremonies, backlog grooming, estimations, and retrospectives.
  • Conduct peer reviews, drive engineering excellence, and mentor junior developers.
  • Partner with engineering managers to identify and onboard high-potential engineers (not necessarily current top performers) by January 31.
  • Create and implement personalized coaching plans with clear skill improvement goals by February 15.
  • Provide structured mentoring focused on both technical development and leadership growth to build long-term capability.
  • Ensure alignment with engineering managers and product owners to reinforce coaching objectives and outcomes within the Scrum team.
  • Collect feedback from both engineering managers and product owners to validate performance improvements and value added by coaching efforts.
  • Track and report progress regularly, ensuring coaching activities are intentional and measurable, with specific actions tied to defined outcomes.
  • Establish and enforce design standards and review processes to minimize rework and delays.
  • Drive cross-functional collaboration between design and engineering teams to streamline handoffs and timelines.
  • Focus on practical, minimal viable designs that balance speed and quality.
  • Incorporate feedback loops to continuously improve processes and identify bottlenecks.
  • Track and report progress on design readiness and iteration improvements, ensuring measurable outcomes within the first quarter.

Requirements:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Strong coding expertise in one or more: Java/ SprintBoot / Node.js / .NET / Python.
  • Performance Test tools LoadRunner , Blazemeter knowledge
  • Strond understanding of SDLC, CI/CD/CT
  • Functional Test Automation - Java / Selenium / Playwright / Karate and strong understanding of Test Automation , Coverage , Test Execution on Cloud platforms
  • Excellent command of JavaScript/TypeScript, HTML, and CSS.
  • Experience in distributed systems, microservices, and API design.
  • Hands-on experience using GitHub Copilot, Azure OpenAI, or similar LLM-based tools for coding, testing, documentation, and productivity improvements.
  • Ability to craft effective prompts (prompt engineering) for code generation, troubleshooting, documentation, and DevOps automation.
  • Understanding of responsible AI principles—validating outputs, ensuring correctness, security, and compliance.

Nice to have:

  • 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
  • Distributed systems design
  • Scalability and capacity modeling
  • Security‑by‑design and compliance
  • Platform observability and reliability engineering
  • Technology evaluation and strategic trade‑off analysis

Additional Information:

Job Posted:
March 25, 2026

Expiration:
March 29, 2026

Employment Type:
Fulltime
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