DevOps / Cloud Engineer – DaAI

Responsibilities

• Build and maintain cloud infrastructure components across AWS, Azure, GCP, or equivalent cloud platforms under the guidance of senior platform architects.
• Implement infrastructure-as-code using Terraform, OpenTofu, cloud-native templates, or equivalent frameworks.
• Build and maintain CI/CD pipelines for application services, AI agents, data pipelines, infrastructure changes, and environment promotions.
• Support GitOps-based deployment workflows using tools such as Argo CD, Flux, GitHub Actions, GitLab CI/CD, Azure DevOps, or equivalent platforms.
• Containerize application services, Python-based AI agents, data services, and supporting platform components using Docker.
• Deploy and manage workloads on Kubernetes platforms such as EKS, AKS, GKE, enterprise Kubernetes distributions, or customer-managed clusters.
• Create, update, and troubleshoot Helm charts, values files, environment-specific configurations, secrets injection, and rollback procedures.

Technical and Professional Requirements

• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
• Practical experience with Terraform, OpenTofu, or equivalent infrastructure-as-code frameworks.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, or equivalent platforms.
• Working knowledge of Docker, Kubernetes, Helm, and containerized workload deployment.
• Familiarity with Kubernetes concepts such as deployments, services, ingress, config maps, secrets, namespaces, RBAC, and resource management.

Preferred Skills

• Microservices
• Kubernetes

Educational Requirements

Bachelor of Engineering