Cloud Infrastructure Specialist

24 hours ago

Taguig, National Capital Region, Philippines beBeeCloudInfrastructure Full time $130,000 - $180,000
Job Title: Cloud Infrastructure Specialist

We are seeking a skilled Cloud Infrastructure Specialist to join our team. This role involves designing, implementing, and supporting scalable infrastructure solutions for production and development environments.

The ideal candidate will have hands-on experience managing containerized applications using Kubernetes, with a strong understanding of AWS services and their integration into modern architectures.

Responsibilities:
  • Design and implement cloud-native infrastructure solutions for scalable and reliable production environments.
  • Manage and enhance container orchestration systems using Kubernetes (EKS).
  • Maintain a balanced view of critical AWS services such as EC2, ALB, IAM, and VPC networking.
  • Build and maintain automation for application and infrastructure deployment, scaling, and lifecycle management.
  • Partner with software engineering teams to improve build, release, and deployment processes.
  • Monitor and improve system availability, latency, and performance across the full stack from cloud infrastructure to backend services.
  • Develop internal tools and scripts to enhance operational efficiency, resilience, and security.
  • Participate in architecture reviews and help guide decisions on infrastructure design, resilience, and observability.
Qualifications:
  • 5+ years of experience in a DevOps, SRE, or infrastructure engineering role supporting production systems at scale.
  • Hands-on experience managing containerized applications using Kubernetes, preferably AWS EKS, but with understanding of broader infrastructure ecosystems.
  • Strong knowledge of AWS services and how they integrate to support modern architectures.
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform, and configuration management tools.
  • Experience designing and supporting CI/CD pipelines.
  • Programming skills in Python, Go, or similar languages, used for automation and tooling.
  • Deep understanding of systems observability, including logging, metrics, and tracing.

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