Azure AI Platform Engineer

Role: Azure AI Platform Engineer

Work location: Texas (Remote)

Type: Contract

Summary:

• We are seeking a versatile and experienced Senior Cloud Application Architect to design, implement, and optimize cloud-native applications and services using Microsoft Azure, Kubernetes, React, Python, and infrastructure automation tools. The ideal candidate will demonstrate strong hands-on skills across cloud infrastructure, backend and frontend development, CI/CD pipelines (specifically GitLab Runners), and Infrastructure as Code (Terraform). This position is ideal for professionals passionate about modern application delivery, automation, and scalable architecture. Key Responsibilities: Cloud Architecture & Deployment:
• Architect and deploy robust, secure, and scalable solutions on Azure, leveraging Kubernetes for container orchestration and Helm charts for application packaging and deployment. Infrastructure as Code:
• Design and implement Infrastructure as Code using Terraform to provision, manage, and document Azure cloud resources and Kubernetes clusters. Application Development:
• Lead or contribute to the design and development of frontend applications using React and backend services using Python, ensuring code quality, maintainability, and performance. Containerization & Orchestration:
• Build and maintain Docker images for application components. Define and manage Helm charts for Kubernetes deployments, following best practices for configuration and security. CI/CD Automation:
• Develop and maintain automated pipelines using GitLab CI/CD with GitLab Runners, enabling reliable build, test, and deployment workflows for both infrastructure and application code. Collaboration:
• Work closely with DevOps, frontend, backend, and cloud teams to gather requirements, provide architectural guidance, and support the full application lifecycle from design to production. Monitoring & Best Practices:
• Integrate monitoring, logging, and alerting solutions. Champion cloud and software development best practices for security, scalability, and cost optimization. Documentation & Mentorship:
• Create and maintain architecture, deployment, and operational documentation. Mentor junior engineers and contribute to knowledge sharing within the team.   Required Qualifications:
• Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. 5+ years of experience designing and deploying solutions on Microsoft Azure. Proven expertise in Kubernetes, including authoring and managing Helm charts. Strong experience with React for frontend development and Python for backend services. Hands-on experience with GitLab CI/CD pipelines, especially configuring and managing GitLab Runners. Proficiency in Infrastructure as Code using Terraform. Solid understanding of containerization (Docker), networking, security, and cloud-native best practices. Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications:

• Azure or Kubernetes certifications. Experience with monitoring/logging tools (e.g., Prometheus, Grafana, Azure Monitor).
• Familiarity with microservices architecture and RESTful APIs. Experience with automated testing frameworks for frontend and backend code.