Senior AI-DevOps Engineer (AI, GPU & Cloud Infrastructure)

Senior AI-DevOps Engineer | 5 to 7 Years

Employment Type: Full-Time | Permanent

Work Mode: Remote - Open to Travel is Mandatory

Job Description:

We are looking for an experienced Senior DevOps Engineer to manage cloud infrastructure, automate deployments, and maintain scalable, secure, and reliable environments for AI/ML applications and data-intensive systems.

Key Responsibilities

• Manage cloud infrastructure across AWS, Azure, GCP, or OCI.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
• Manage Docker containers and Kubernetes deployments.
• Automate infrastructure provisioning using Terraform or Ansible.
• Monitor system performance, troubleshoot production issues, and ensure security and availability.
• Manage Linux servers, networking, databases, and logging infrastructure.
• Support AI/ML deployments and GPU-based workloads.

Required Skills

• 5 to 7 years of experience in DevOps / Cloud Engineering.
• Strong expertise in Linux, Docker, Kubernetes, and CI/CD.
• Hands-on experience with at least one cloud platform: AWS, Azure, GCP, or OCI.
• Knowledge of Terraform, Ansible, Python/Shell scripting, and monitoring tools.
• Experience with databases such as MongoDB/PostgreSQL and messaging systems such as Kafka.

Good to Have

• Exposure to NVIDIA GPUs, CUDA, AI/ML deployments, LLMs, or MLOps.
• Experience with Prometheus, Grafana, and ELK/OpenSearch.

Interested candidates can apply or send resume to [email protected]