Associate Director - Cloud Infrastructure

Key Responsibilities Cloud Infrastructure Management: - Design, deploy, and manage AI solutions on Azure AI Studio and Google Cloud Platform (GCP). - Optimize cloud resources to ensure cost-effectiveness and high performance. CI/CD Pipeline Development: - Develop and maintain continuous integration and continuous deployment pipelines for AI applications. - Automate deployment processes to streamline workflows and reduce time-to-market. Hardware Integration: - Manage and configure specialized hardware workstations including HP Fury Z8, Dell 7960 XCTO, and Nvidia GCX Studio A100. - Ensure seamless integration between cloud services and on-premises hardware resources. AI/ML Operations: - Implement AI Ops, ML Ops, and RAG Ops practices to enhance the reliability and scalability of AI systems. - Monitor system performance, troubleshoot issues, and implement improvements. Collaboration and Support: - Collaborate with cross-functional teams to understand requirements and deliver robust AI solutions. - Provide technical support and guidance to team members regarding DevOps best practices and tools. Security and Compliance: - Ensure all deployments adhere to security standards and compliance regulations. - Implement and maintain security protocols for both cloud and on-premises degree in Computer Science, Engineering, or a related field. Master's degree Proven experience as a DevOps Engineer, preferably within AI or machine learning environments. - Strong expertise in Azure AI Studio and developing AI solutions on the Azure platform. - Experience with Google Cloud Platform (GCP) in deploying and managing AI solutions. Technical Skills: - Proficiency with cloud services, including compute, storage, networking, and AI/ML tools on Azure and GCP. - Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Knowledge of infrastructure as code (IaC) tools such as Terraform or Azure Resource Manager. Soft Skills : - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork abilities. - Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. Preferred Qualifications : - Certifications in Azure (e.g., Azure DevOps Engineer Expert) or Google Cloud (e.g., Professional DevOps Engineer). - Experience with monitoring and logging tools such as Prometheus, Grafana, or Azure Monitor. - Knowledge of scripting languages like Python, Bash, or PowerShell. - Familiarity with version control systems, particularly Git. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 4/14/2025