Senior AI Cloud Engineer

Armanino LLP•San Ramon, CA

About The Position

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don’t check-out of life when you check-in at work. That’s why we’ve created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

Requirements

Minimum 5 years in software engineering, cloud engineering, or machine learning engineering.
Minimum 3 years working directly with AI or ML systems in production environments.
Demonstrated expertise configuring, deploying, and troubleshooting production Azure environments, including networking, containers, databases, and security tools (e.g., Azure Container Apps, PostgreSQL Flexible Server, ACR, Static Web Apps).
Proficiency with Terraform (infrastructure as code)—able to manage state, debug conflicts, and build reusable modules.
Strong skills in Node.js/TypeScript backend and React (Vite) frontend development; comfortable integrating APIs and troubleshooting middleware patterns.
In-depth knowledge of containerization (Docker multi-stage builds, image optimization, troubleshooting startup issues).
Experience managing PostgreSQL database schemas and migration workflows.
Ability to build, optimize, and maintain CI/CD pipelines with GitHub Actions or equivalent tools.
Ability to design and build optimized AI pipelines and integrations
Effective written and verbal communication skills to document procedures and share expertise across the team.

Nice To Haves

Experience with observability tools such as Azure Log Analytics and KQL.
Previous work with Azure Entra ID / SSO integrations and key management.
Familiarity with OpenAI API infrastructure (rate limiting, token management, secure connectivity).
Master’s degree in Computer Science or relevant discipline, or equivalent work skills.

Responsibilities

Design, implement, debug, and maintain modular Terraform infrastructure-as-code for the entire Azure production footprint.
Configure and manage Azure Container Apps, Virtual Network (VNet) integrations, Private Endpoints, Managed Identities, and Azure Container Registry (ACR).
Optimize Azure networking topologies (Private DNS Zones, subnets, RBAC) for maximum security and scalability.
Analyze and resolve cross-service connectivity issues, collaborating closely with the AI engineering team.
Build, update, and optimize GitHub Actions workflows for automated code deployment across Development, UAT, and Production environments.
Establish, monitor, and troubleshoot automated migrations and container image tagging procedures.
Maintain, debug, and enhance Node.js/Express backend APIs and React frontend within the microservice architecture.
Integrate middleware patterns and TanStack Query hooks as needed to deliver reliable user and developer experiences.
Lead SSO integration with Microsoft Entra ID and Key Vault secret management, ensuring secure and compliant access.
Configure DNS and SSL certificates for safe deployment.
Work cross-functionally with AI Technical Lead in a collaborative culture that values diverse perspectives.
Use LLMs and automation tools to improve deployment efficiency and cloud reliability.