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Popular mid-level DevOps role in Bangalore with broad AI/cloud skills increases competition.
Specialized Azure DevSecOps with GPU and DVC for AI projects reduces cross-industry transferability.
Mandatory 5+ years plus specific Azure, DevSecOps, GPU/CUDA and DVC skills create strict screening filters.
Design, implement, and manage automated infrastructure provisioning, configuration management, and environment setup primarily on Azure cloud for AI projects.
Develop, maintain, and optimize CI/CD pipelines with strong emphasis on automation, testing, deployment, and scaling of AI/ML workloads and containerized applications.
Collaborate across teams to troubleshoot cloud environment issues, integrate security into DevSecOps pipelines, maintain technical documentation, and support onboarding processes.
Minimum 5 years of experience or equivalent combination of education and experience.
Hands-on experience with Microsoft Azure cloud environment and DevOps tools like Jenkins, Azure DevOps, Terraform, Docker.
Strong scripting and automation skills including Python, PowerShell, or Bash.
Experience with GPU-based systems, CUDA kernels, and versioning machine learning models using DVC.
Experienced in managing AI-driven, cloud-native DevSecOps environments with focus on Azure platform.
Proficient in automating complex deployment workflows and integrating AI techniques to optimize DevSecOps practices.
Capable of collaborating effectively with cross-functional and security teams to deliver scalable, secure, and well-documented solutions.