Azure AI Platform Engineer - No C2C!!

Role: Azure AI Platform Engineer

Location: Irving, TX

Travel: This position requires someone to be in a client office 3 days a week in Charlotte, Atlanta, Minneapolis, Dallas, Chicago or Cincinnati.

Visa: Permanent Residents only!!

Job Description:

•                 Design, develop, and maintain scalable cloud-native platform solutions across Azure, AWS, and Kubernetes environments supporting enterprise applications and AI workloads.

•                 Build and manage Infrastructure as Code (IaC) solutions using Terraform, Helm, and automation frameworks to provision and maintain cloud infrastructure.

•                 Develop and optimize CI/CD pipelines leveraging GitLab CI/CD, GitHub Actions, Jenkins, and related DevOps tooling to support continuous delivery and operational excellence.

•                 Architect, deploy, and support Kubernetes-based platforms including AKS, EKS, OpenShift, and containerized application ecosystems.

•                 Partner with application development teams to implement secure, reliable, and highly available cloud services, microservices, and platform components.

•                 Design and implement observability solutions using monitoring, logging, and tracing technologies to improve platform reliability and operational efficiency.

•                 Support AI and data platform initiatives by implementing infrastructure for Azure OpenAI, vector databases, RAG pipelines, and modern cloud-native data services.

•                 Collaborate with architecture, security, operations, and engineering teams to define cloud platform standards, governance, and best practices.

•                 Participate in technical design reviews, troubleshooting activities, root cause analysis, and production support efforts.

•                 Mentor junior engineers and contribute to agile delivery processes, technical documentation, and knowledge-sharing initiatives.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

•                 Minimum 5+ years of experience designing and implementing cloud-native solutions on Microsoft Azure.

•                 Minimum 5+ years of experience working with Kubernetes, container orchestration, and container platforms including AKS, EKS, OpenShift, and Docker.

•                 Minimum 5+ years of experience with Infrastructure as Code (IaC) using Terraform and Helm.

•                 Minimum 5+ years of experience building and supporting CI/CD pipelines using GitLab CI/CD, GitHub Actions, Jenkins, or similar DevOps tools.

•                 Minimum 5+ years of experience developing software applications using Python, Java, JavaScript, or TypeScript.

•                 Minimum 5+ years of experience designing and implementing microservices architectures and REST APIs.

•                 Minimum 5+ years of experience supporting cloud security, identity management, and access control frameworks.

•                 Minimum 5+ years of experience working with cloud storage, messaging, and database technologies including SQL and NoSQL platforms.

•                 Minimum 5+ years of experience implementing monitoring, logging, and observability solutions using tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.

•                 Minimum 5+ years of experience working within Agile, Scrum, DevOps, or Site Reliability Engineering (SRE) environments.

•                 Minimum 5+ years of experience collaborating directly with business stakeholders, architects, developers, and operations teams to deliver enterprise cloud solutions.