DevOps / Cloud Engineer - DaAI

Infosys

Bengaluru

On-site

INR 1,800,000 - 3,600,000

Full time

14 days+

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Job summary

You will containerize workloads with Docker/Kubernetes, develop Helm charts, and enable GitOps workflows using Argo CD or Flux across EKS/AKS/GKE environments.

Qualifications

  • Hands-on experience with major cloud platforms (AWS, Azure, GCP).
  • Practical experience with infrastructure-as-code: Terraform, OpenTofu, or equivalent.
  • Experience with CI/CD tools: GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, or equivalent.

Skills

Cloud platform experience

Tools

Terraform
OpenTofu
GitHub Actions
GitLab CI/CD
Azure DevOps
Jenkins
Docker
Kubernetes
Helm
Argo CD
Flux

Job description

  • 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.
  • 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.
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