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20 hours ago
We are seeking a skilled engineer to design, build, and scale mission-critical platform services powering next-generation AI and cloud applications.
About the RoleThis is a unique opportunity to shape the future of cloud-native data platforms from the ground up, working alongside top cloud and data experts.
Key Responsibilities- Design technical architecture for Cloud Data Platform services (Data Ingestion, Processing, Storage, Query, Visualization, Security, Governance).
- 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…).
- Support deployment, configuration, and optimization of Cloud Data Platform for customers.
- 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).
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