Cloud Infrastructure Specialist

6 days ago

Kurnool, Andhra Pradesh, India beBeeCloudEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

About Position:

We are looking for a skilled Platform Engineer with hands-on experience in Kubernetes, Grafana, and cloud computing using Python.

  • Role: Platform Engineer

Key Responsibilities:

  • Create reusable workflows to empower developers to provision infrastructure, deploy applications, manage secrets, and operate at scale without needing expertise in Kubernetes or cloud systems.
  • Drive platform standardization and codification of best practices across cloud infrastructure, Kubernetes, and CI/CD to enhance efficiency.
  • Develop developer-friendly APIs and experiences while maintaining high standards for reliability, observability, and performance.
  • Design, develop, and maintain Go-based platform tooling and self-service automation that simplifies infrastructure provisioning, application deployment, and service management.
  • Write clean, testable code and workflows that integrate with internal systems such as GitLab, ArgoCD, Port, AWS, and Kubernetes.
  • Collaborate with product engineering, SREs, and cloud teams to identify high-leverage platform improvements and enable adoption across brands.
  • Establish templates, reusable libraries, and workflows to promote consistency and scalability.
  • Maintain observability, alerting, and health monitoring for platform systems and workflows.
  • Develop an automation-first mindset to eliminate toil and manual operations through codification.
  • Partner on IAM, security, cost, and scalability decisions with AWS-native and Kubernetes-native architectures.

Requirements:

  • Represent Platform Engineering in strategic discussions and contribute to shaping the roadmap and team vision.
  • 5-7+ years in a professional cloud computing role with Kubernetes, Docker, and Infra-as-Code experience.
  • A BA/BS in Computer Science or equivalent work experience.
  • 5–7+ years in Cloud/DevOps/SRE/Platform Engineering roles.
  • Proficient in Golang for backend automation and system tooling (any one programming language).
  • Experience in Grafana, Prometheus, Datadog.
  • Operating in Kubernetes environments and building automation for multi-tenant workloads.
  • Deep experience with AWS (or equivalent cloud provider), infrastructure as code (e.g., Terraform), and CI/CD systems like GitLab CI.
  • Strong understanding of containers, microservice architectures, and modern DevOps practices.
  • Familiarity with GitOps practices using tools like ArgoCD, Helm, and Kustomize.
  • Strong debugging and troubleshooting skills across distributed systems.
  • Excellent written and verbal communication skills, with a product mindset.

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