AI-Enabled DevOps Staff Engineer II: Cloud-Native Full-Stack

Western Alliance Bancorporation

Phoenix (AZ)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
401(k) matching
Medical and dental insurance
Tuition assistance
Employee volunteer program
Wellness program
Ownership stake

Job summary

Western Alliance Bancorporation seeks an AI Forward DevOps Staff Engineer II to lead technical design and deliver secure, scalable full-stack solutions across Lending/SLS. You will drive AI-enabled, cloud-native development using Azure, .NET, Python, and React, while guiding peers and enforcing architectural standards.

You will collaborate with architects, business partners, and senior engineers to shape reliable, compliant systems and improve deployment fidelity across CI/CD pipelines and

Qualifications

  • Bachelor's degree in a related field.
  • 7+ years of software engineering or IT development experience.
  • Experience delivering fullstack apps and AI-assisted development in financial services.
  • Experience with Azure cloud technologies and CI/CD pipelines.

Responsibilities

  • Lead technical solution design and project planning.
  • Develop secure, scalable API integrations and full-stack features.
  • Implement AI-forward development practices and tooling.
  • Guide junior engineers and ensure architectural governance.

Skills

Fullstack development
Azure cloud
AI-assisted development
Leadership
DevOps

Education

Bachelor's degree

Tools

Azure DevOps
GitHub
Azure API Management
.NET
Python
React (Vite)

Job description

Western Alliance Bancorporation seeks an AI Forward DevOps Staff Engineer II to lead technical design and deliver secure, scalable full-stack solutions across Lending/SLS. You will drive AI-enabled, cloud-native development using Azure, .NET, Python, and React, while guiding peers and enforcing architectural standards.

You will collaborate with architects, business partners, and senior engineers to shape reliable, compliant systems and improve deployment fidelity across CI/CD pipelines and

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