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Job Description
Structured overview of role & requirementsAbout This Role
Build and own cloud-based platforms, DevOps pipelines for AI model deployment, and cloud infrastructure provisioning in AWS, Azure, or GCP.
Develop and maintain Infrastructure as Code (IaC) and automate CI/CD pipelines including containerization and orchestration using Docker and Kubernetes.
Ensure security, compliance, performance, scalability, and cost optimization of cloud and AI deployment environments across multiple teams.
Minimum Requirements
7+ years of experience in DevOps and Cloud engineering.
Strong experience with AWS, Azure, or GCP cloud platforms and cloud-native services.
Proficiency in Infrastructure as Code, containerization (Docker), Kubernetes orchestration, and CI/CD pipeline tools (Jenkins, Azure DevOps).
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
Ideal Candidate Profile
Experienced in integrating DevOps automation with AI/Agentic AI model deployment and versioning workflows.
Skilled in multi-cloud native platform development with strong scripting skills in Python and PowerShell/Bash.
Capable of collaborating across AI Software Engineering and Product teams to continuously enhance platform usability, security, and scalability.