Principal Cloud Architect

5 days ago

Manila, National Capital Region, Philippines beBeeCloud Full time ₱1,200,000 - ₱1,920,000
Job Opportunity

This is a unique opportunity for a technically deep individual with a strong passion for both software development and operations.

As a senior member of the team, you will drive critical initiatives in infrastructure automation, security, and continuous delivery, collaborating closely with product and engineering teams to build and maintain a highly scalable, secure, and resilient platform.

  • Architect, implement, and maintain a scalable, secure, and high-performance cloud infrastructure, primarily on AWS.
  • Design and optimize sophisticated CI/CD pipelines to achieve zero-downtime deployments and ensure high availability of our applications.
  • Develop and enforce robust security best practices, implement compliance frameworks, and drive risk mitigation strategies across our infrastructure and applications.
  • Lead the adoption and expansion of infrastructure-as-code (IaC) using tools like Terraform and Ansible to ensure infrastructure consistency and repeatability.
  • Champion the use of containerization technologies (Docker, Kubernetes) and contribute to our microservices orchestration strategy.
  • Implement and optimize comprehensive monitoring, logging, and incident response solutions using tools like Opentelemetry, Grafana, Prometheus, ELK, Cloudwatch, and Opsgenie.
  • Automate security processes, including integration with penetration testing tools and implementation of threat modeling outcomes.
  • Drive strategies for optimizing cloud resource utilization and improving overall infrastructure efficiency.
  • Collaborate closely with development teams to integrate security and DevOps best practices throughout the software development lifecycle.
  • Provide technical guidance and mentorship to other engineers on DevOps principles, cloud technologies, and automation techniques.
  • Stay at the forefront of emerging DevOps and cloud security trends, actively evaluating and implementing new tools and practices to enhance our infrastructure and processes.
  • Actively explore, evaluate, and implement AI/ML or LLM-based technologies to optimize DevOps workflows, enhance efficiency, and drive innovation within the engineering organization.

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