Cloud Infrastructure Engineer

5 days ago

Chennai, Tamil Nadu, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a highly skilled Cloud Infrastructure Engineer to drive our cloud infrastructure, automation, and platform engineering initiatives.

The ideal candidate will have hands-on experience with multi-cloud architectures, Kubernetes, and container orchestration at scale.

This role requires a strong background in CI/CD pipelines, progressive delivery techniques, and observability. Additionally, the successful candidate will have expertise in Infrastructure as Code and GitOps workflows.

Key Responsibilities
  • Design, implement, and manage multi-cloud infrastructures (AWS, Azure, GCP) with a focus on cost efficiency.
  • Build, scale, and secure containerized environments using Docker, Podman, Kubernetes, Helm, Kustomize, and service meshes (Istio/Linkerd).
  • Drive CI/CD pipelines with GitHub Actions, GitLab CI, ArgoCD, Tekton, and Jenkins X; implement progressive delivery (blue/green, canary, feature flags).
  • Implement Infrastructure as Code (IaC) using Terraform, Pulumi, Crossplane, and Ansible with GitOps (ArgoCD/FluxCD).
  • Establish strong observability and monitoring practices using Prometheus, Grafana, Loki, Tempo, ELK/EFK, OpenTelemetry, and enterprise tools (Datadog, Dynatrace, AIOps).
  • Champion DevSecOps practices: IAM hardening, secrets management (Vault, SOPS), vulnerability scanning (Trivy, Checkov), runtime security (Falco, Kyverno, OPA), and compliance (CIS, SOC2, GDPR).
Requirements
  • Proven experience in multi-cloud architectures (AWS/Azure/GCP).
  • Strong background in Kubernetes ecosystem and container orchestration at scale.
  • Advanced knowledge of CI/CD pipelines and progressive delivery techniques.
  • Hands-on expertise with Infrastructure as Code and GitOps workflows.
  • Experience in observability, monitoring, and incident management.
  • Solid understanding of security, compliance, and DevSecOps frameworks.
  • Strong programming/scripting skills (Python, Go, Bash).
  • Exposure to AI/ML applications in DevOps is a plus.
Bonus Points
  • Familiarity with greenfield deployments and architecture design.
  • Proficiency in Python, Go, or Bash scripting languages.

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