
Cloud Native Platform Specialist
22 hours ago
Our company is seeking a seasoned DataOps / Platform Engineer to join our Cloud PaaS team.
The ideal candidate will have 3–5 years of experience in DataOps, DevOps, Platform Engineer, or Data Engineer roles. They will be proficient in Kubernetes, Docker, and microservices architecture.
We are looking for someone who has hands-on experience deploying or operating at least some Data Platform services (e.g., Kafka, Airflow, Spark). Strong scripting skills (Python or Bash) are also essential.
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…).
- 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).
- A competitive salary and benefits package.
- Ongoing training and development opportunities.
- A collaborative and dynamic work environment.
If you are a motivated and experienced professional looking for a new challenge, please submit your application.
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