Cloud Platform Architect

2 days ago

Pulong Santa Cruz, Calabarzon, Philippines beBeePlatform Full time $100,000 - $150,000
Cloud Platform Engineer

We are seeking a skilled Cloud Platform Engineer to design, build, and scale mission-critical platform services powering next-generation AI and cloud applications.

About the Role:

This is an opportunity to shape the future of cloud-native data platforms from the ground up, working alongside top cloud and data experts. You will help create technical architecture for cloud data platform services (data ingestion, processing, storage, query, visualization, security, governance).

Key Responsibilities:
  • Collaborate with the team to design technical architecture for cloud data platform services.
  • Implement and integrate data platform components: Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, dbt…
  • Build and operate CI/CD systems and infrastructure as code (Terraform, Helm, ArgoCD…).
  • Research and propose new technologies to optimize performance and enhance product.
  • Support deployment, configuration, and optimization of cloud data platform for customers.
  • Monitor, troubleshoot incidents, and ensure service SLA compliance.
  • Operate monitoring, alerting, and logging systems (Prometheus, Grafana, ELK, Loki…).
  • Support troubleshooting of data pipelines, data source connections, and security incidents.
  • Participate in training and guiding customers on platform usage.
Requirements:
  • 3–5 years of experience in DataOps, DevOps, Platform Engineer, or Data Engineer roles.
  • Proficiency in Kubernetes, Docker, and microservices architecture.
  • Hands-on experience deploying or operating at least some data platform services (e.g., Kafka, Airflow, Spark).
  • Strong scripting skills (Python or Bash).
  • Experience with CI/CD and GitOps (GitLab CI, Jenkins, or ArgoCD).
  • Basic understanding of data pipelines and data engineering concepts.
  • Experience in designing or operating data lakehouse/data warehouse.
  • Experience providing managed services for enterprise customers.
  • Knowledge of data security (IAM, RBAC, TLS, Network Policy, etc.).
  • Relevant certifications in Kubernetes (CKA, CKAD) or Cloud (AWS, GCP, Azure).

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