Design and implement secure, scalable cloud architectures (Azure, AWS, GCP)
Develop and deploy AI/ML models for enterprise applications
Optimize cloud resources for cost efficiency and performance
Ensure compliance with security and regulatory standards
Collaborate with cross-functional teams to integrate AI solutions into business workflows
Serve as a technical leader to the engineering teams
Provide strategic leadership in defining cloud and AI technology roadmaps
Mentor and guide engineering teams to foster professional growth and technical excellence
Collaborate with senior stakeholders to align technology initiatives with business objectives
Influence cross-functional teams to adopt best practices and innovative solutions
Drive organizational change by promoting a culture of continuous improvement and innovation

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
10+ years of experience in cloud architecture and AI/ML development
Proficiency in one or more cloud platforms (Azure, AWS, GCP)
Strong knowledge of AI frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with containerization and orchestration (Docker, Kubernetes)
Understanding of TCP/IP, DNS, VPN, firewall
Familiarity with Infrastructure as Code (IaC): Tools like Terraform, AWS CloudFormation, Azure Resource Manager
Scripting & Automation: Python, Bash, PowerShell
CI/CD Pipelines: Jenkins, GitHub Actions, Azure DevOps
Security & Compliance: Identity management, encryption, regulatory frameworks
Monitoring & Logging: Tools like Prometheus, Grafana, ELK stack

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud architectureAI/ML developmentAI frameworkscontainerizationorchestrationscriptingautomationCI/CD pipelinessecurity compliancemonitoring logging

Soft Skills

technical leadershipcollaborationmentoringstrategic leadershipinfluenceorganizational changecontinuous improvementinnovation