DevOps Engineer AI/Cloud

About the Role :

We are looking for a DevOps Engineer with strong experience in cloud infrastructure, Kubernetes, automation, CI/CD, and infrastructure-as-code. The ideal candidate will also have exposure to AI/ML or GenAI environments and will help build secure, scalable, and highly reliable infrastructure for modern AI-enabled applications.

Key Responsibilities :

• Design, implement, and maintain scalable cloud infrastructure across AWS, Azure, or GCP.

• Manage containerized workloads using Docker and Kubernetes.

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.

• Automate infrastructure provisioning and configuration using Terraform.

• Manage Linux-based systems, networking, deployments, and troubleshooting.

• Develop scripting and automation using Python, Bash, or similar languages.

• Implement secure secrets management, access controls, and infrastructure security practices.

• Set up monitoring, logging, alerting, and observability for applications and infrastructure.

• Implement security and vulnerability scanning across containers, dependencies, code, and cloud infrastructure.

• Support deployment and infrastructure requirements for AI/ML, GenAI, LLM, or data-intensive applications.

• Collaborate with engineering, security, and AI/ML teams to improve reliability, scalability, and deployment velocity.

Must-Have Skills :

• AI/Cloud (Mandatory).

• 3+ years of hands-on DevOps / Cloud Engineering experience.

• Strong experience with at least one cloud platform: AWS / Azure / GCP.

• Hands-on Kubernetes and Docker experience.

• Strong knowledge of Terraform / Infrastructure as Code.

• Experience with CI/CD using GitHub Actions, GitLab CI/CD, Jenkins, or equivalent.

• Experience supporting AI/ML, GenAI, LLM, RAG, or AI-agent workloads.

• Strong Linux administration and troubleshooting skills.

• Scripting experience in Python, Bash, or Shell.

• Experience with secrets management and cloud security practices.

• Exposure to observability, monitoring, logging, and security scanning.

• Good understanding of networking, IAM, containers, and cloud infrastructure security.

Good to Have :

• Exposure to GPU/cloud infrastructure and AI model deployment.