3 principal react native engineer jobs at 3 companies in Goodyear, AZ

2mo
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Principal Engineer I - AI Full Stack Engineer
Phoenix or Dallas
OnsiteFull Time
Western Alliance Bank
Western Alliance BankNYSE: WAL: National commercial bank providing specialized financial and business solutions.
8+ YOE8+ years software engineering; cloud-native Azure; AI-assisted development; .NET, Python, React, SQL, ETL; leadership experience; regulatory and secure development; travel up to 25%.
Azure, API Management, .NET, Python, React, SQL, ETL, GitHub, Azure DevOps, Azure Pipelines, GenAI tools
6d
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Principal Agentic Software Engineer
Scottsdale, Arizona, United States
OnsiteFull Time
Arrivia
Arrivia: Provides white-label travel technology and loyalty solutions to global brands.
8+ YOE8+ years full-stack development and architecture experience; hands-on AI agent usage; proficiency in TypeScript, Python, or C#/.NET; experience with cloud-native systems and distributed architectures; bachelor's in CS or equivalent.
Claude Code, Cursor, GitHub Copilot, TypeScript, JavaScript, Python, C#, Microsoft .NET, React, Next.js, Vue, Angular, Model Context Protocol (MCP), Azure AI Foundry, RAG, LangChain, GraphRAG, GraphDB, Redis, Kafka, RabbitMQ, Docker, Kubernetes, CI/CD, AWS, Azure, GCP
3d
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Principal Engineer – ICMP & IDOCS Platform Solution Lead (Enterprise Content Management, Java Platform Engineering & AI-Enabled Document Services)
Charlotte or Phoenix
HybridFull Time
Wells Fargo
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
7+ YOE7+ years engineering experience with enterprise Java, cloud-native platforms, Kubernetes/OpenShift, platform architecture, distributed systems, AI-enabled document processing, and strong leadership and stakeholder skills; hybrid schedule; visa sponsorship eligible.
Java, Kubernetes, OpenShift, Terraform, Crossplane, Kafka, Python, Google Vertex AI, Azure AI, Gemini Enterprise, Oracle, MongoDB, GitHub Actions, Harness, Ansible, ReactJS, ICMP, IDOCS, Tachyon, Capture, Large Language Models (LLMs), Retrieval Augmented Generation (RAG)