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AI Forward DevOps Staff Engineer II

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Western Alliance Bancorporation
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    DevOps, Azure, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Job Title:

AI Forward Dev Ops Staff Engineer II

Location:

Block 23

What you'll do:

As a Staff Engineer II, you'll provide expertise in a suite of technical tools and products in a Specialized Loan Services, Operations domain within Lending to ensure solutions are safe, secure, compliant and reliable. You'll identify, develop and support needs, as well as taking on design responsibilities supporting project tasks. As the Staff Engineer II, you'll facilitate dialogue and activities to ensure team collaboration, including teams outside of your domain.

You'll develop effective presentations and narratives for their teams.
In this role, you will collaborate closely with business partners, architects, and senior engineers to deliver AIenabled fullstack solutions that support Specialized Loan Services and modernization efforts. You are expected to demonstrate strong technical judgment, guide junior engineers, and apply established architectural, security, and governance standards while continuing to grow toward broader technical leadership.

  • Lead the strategic planning of a project as it relates to technical solution design.
  • Design and implement engineering principles aimed at reliability practices and sound recovery procedures.
  • Design transaction specific application performance monitoring metrics that can be captured and passed to business partners.
  • Develop and maintain technical documentation, including system configurations and procedures while also ensuring compliance with IT policies, procedures, and industry standards. Develop desktop procedures when needed that others follow.
  • Build and deliver AI-enabled, cloud-native full-stack solutions for the Lending segment and Specialized Loan Services (SLS) organization using Azure Dev Ops, .NET, Python, React (Vite), SQL, and ETL technologies, aligned with enterprise architecture and security standards.
  • Apply an AI-forward developer mindset leveraging prompt engineering, RAG patterns, MCP, and tools like Git Hub Copilot/LLMs to improve development efficiency, solution quality, and workflow automation.
  • Develop secure, scalable APIs and integration services using Azure API Management (APIM), ensuring adherence to standards for security, versioning, and observability across Lending and SLS platforms.
  • Deliver end-to-end full-stack engineering solutions across frontend, backend, data, and cloud layers, following secure coding, testing, and performance best practices.
  • Drive Dev Ops and CI/CD practices and guide other developers using Azure Dev Ops (ADO), Git Hub, and Azure Pipelines, improving deployment reliability and release consistency in alignment with Lending Tower delivery playbooks.
  • Collaborate with architects, engineering, QA, and business teams to translate Lending and SLS requirements into scalable solutions, ensuring alignment with architectural standards and operational expectations.
What you’ll need:
  • 7+ years of related experience in software engineering or IT development, with handson experience delivering fullstack applications as well as AI assisted development in a Financial Services or Lending environment.
  • Bachelor's degree in related field required.
  • Previous technical leadership experience, such as leading features, components, or small work streams, preferred.
  • Intermediate to advanced knowledge of general Financial Services or Banking, with experience supporting Lending platforms, Collateral tracking, borrowing base calculations, loan servicing, integrations, or reporting is strongly preferred.
  • Demonstrated experience developing cloud native solutions on Azure, including APIs, data integrations, and CI/CD pipelines.
  • Practical experience using AIassisted development techniques (e.g., Prompt Engineering, RAG patterns, or GenAI tools) within an…
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