Cloud Native Data Platform Architect

7 days ago

Rizal, Philippines beBeeDataops Full time ₱800,000 - ₱1,200,000

FPT Smart Cloud is hiring a DataOps / Platform Engineer to join our team, where you'll help design and build mission-critical platform services powering next-generation AI and cloud applications. This is an opportunity to shape the future of cloud-native data platforms from the ground up.

About FPT Smart Cloud

A pioneer in AI & Cloud solutions in Vietnam, we focus on building a firm technological foundation, developing diversified ecosystem products, and reaching global connectivity.

  • We provide customized cloud-based products and solutions tailored to each industry's needs.
  • We consolidate our technology and diverse business solutions into one all-in-one platform.
  • We strive for local market leadership with outstanding Cloud and AI technology infrastructure and platform to help businesses grow their products and services online.
  • We deliver results by integrating world-class processes and technology to achieve business outcomes faster.
Key Responsibilities1. Product Development & Research
  • You will collaborate with the team to design technical architecture for Cloud Data Platform services (Data Ingestion, Processing, Storage, Query, Visualization, Security, Governance).
  • You will implement and integrate Data Platform components: Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, dbt…
  • You will build and operate CI/CD systems and Infrastructure as Code (Terraform, Helm, ArgoCD…).
  • You will research and propose new technologies to optimize performance and enhance the product.
2. Operations & Managed Services for Customers
  • You will support deployment, configuration, and optimization of Cloud Data Platform for customers.
  • You will monitor, troubleshoot incidents, and ensure service SLA compliance.
  • You will operate monitoring, alerting, and logging systems (Prometheus, Grafana, ELK, Loki…).
  • You will support troubleshooting of data pipelines, data source connections, and security incidents.
  • You will participate in training and guiding customers on platform usage.
Job Requirements

Must-haves

  • 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.

Nice-to-haves

  • 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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