Cloud Infrastructure Specialist

9 hours ago

Cagayan de Oro, Northern Mindanao, Philippines beBeeDevops Full time ₱130,000 - ₱180,000
Job Title:

AWS Systems Architect

Key Responsibilities:
  1. Design and implement scalable, secure infrastructure to power production and development environments.
  2. Lead the management and enhancement of container orchestration systems, focusing on Kubernetes (EKS), while maintaining a balanced view of other critical AWS services such as EC2, ALB, IAM, and VPC networking.
  3. Develop and maintain automation for application and infrastructure deployment, scaling, and lifecycle management.
  4. Collaborate with software engineering teams to improve build, release, and monitor system availability, latency, and performance across the full stack—from cloud infrastructure to backend services.
  5. Contribute to the development of internal tools and scripts to enhance operational efficiency, resilience, and security.
  6. Play a key role in incident response efforts, including root cause analysis and long-term remediation.
  7. Participate in architecture reviews and contribute to decisions on infrastructure design, resilience, and observability.
  8. Stay informed on industry trends in reliability engineering, cloud-native tooling, and DevOps practices, and integrate improvements into our operational playbook.
  9. Advocate for security, scalability, and cost-efficiency in all infrastructure decisions.
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 infrastructure.
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform, and configuration management tools.
  • Experience designing and supporting CI/CD pipelines (e.g., Jenkins, GitHub Scripting or programming skills in Python, Go, or similar languages, used for automation and tooling.
  • Deep understanding of systems observability, including logging, metrics, and tracing (e.g., Prometheus, Grafana, CloudWatch).
  • Ability to diagnose and troubleshoot complex issues across distributed systems, including performance bottlenecks and availability challenges.
  • Familiarity with security best practices for cloud and containerized environments.
  • Clear and proactive communicator, comfortable working cross-functionally in a fast-paced environment.

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