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We are looking for an experienced DevOps Engineer to design, implement, and optimize cloud based infrastructure for AI-powered applications. The ideal candidate should have expertise in CI/CD, cloud automation, containerization, and security practices in AWS, Azure, or GCP environments.
Job Responsibility:
Develop and maintain CI/CD pipelines for AI/ML applications
Automate cloud infrastructure provisioning using Terraform, CloudFormation, or ARM templates
Manage and optimize containerized workloads using Docker and Kubernetes
Ensure high availability, scalability, and security of AI-driven cloud applications
Collaborate with AI engineers, software developers, and cloud architects
Monitor system performance, troubleshoot issues, and implement best practices for cloud security
Implement AI-driven automation and observability solutions using tools like Prometheus, Grafana, or ELK stack
Stay updated with the latest DevOps, AI, and cloud computing trends
Requirements:
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in DevOps, cloud computing, or infrastructure automation
Proficiency in AWS, Azure, or GCP cloud services
Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps)
Strong knowledge of containerization (Docker, Kubernetes, Helm)
Experience with scripting and automation using Python, Bash, or PowerShell
Familiarity with monitoring and logging tools (Prometheus, Grafana, Splunk, ELK stack)
Knowledge of security best practices for DevOps and cloud infrastructure
Certifications in AWS (AWS Certified DevOps Engineer), Azure (Azure DevOps Engineer), or GCP (Google Professional DevOps Engineer)
Experience with MLOps and AI model deployment in cloud environments
Knowledge of infrastructure-as-code (IaC) best practices
Experience in serverless computing and event-driven architectures
Experience integrating AI/ML pipelines with cloud-based DevOps workflows
Cloud certifications such as AWS DevOps Engineer, Azure DevOps Engineer Expert, or Google Professional DevOps Engineer