Cloudera Public Cloud Platform Engineer
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Role details
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Job description
We are seeking a highly skilled Cloudera Public Cloud Platform Engineer to operate and manage the end-to-end CDP platform ecosystem, including data services, NiFI, Kafka, AI/ML platforms, and enterprise observability. This role is responsible for ensuring availability, scalability, security, and performance of all platform services supporting data, analytics, and AI workloads across environments. The ideal candidate brings strong expertise in CDP on-prem, public cloud services, cloud infrastructure, Kubernetes-based runtime environments, and platform observability, supporting high-concurrency, mission-critical workloads at multi-terabyte to petabyte scale This role is critical to ensuring uninterrupted operation of data, analytics, and AI platforms-any degradation directly impacts downstream business reporting, data pipelines, and model execution.
Requirements
- Strong experience with Cloudera CDP Public Cloud
- Expertise in:
- Cloud platforms (AWS/Azure/GCP)
- Kubernetes concepts (troubleshooting-focused)
- Hands-on with:
- CDE, CDW, CDF (NiFi), CAI
- knowledge of:
- IAM, networking, observability tools
- Platforms operating at multi-terabyte to petabyte scale with high concurrency workloads
- Hands-on experience with:
- Kafka (or similar streaming platforms) including monitoring, troubleshooting, and performance tuning
- Experience with Cloudera CDP CLI (Command Line Interface) for:
- Platform operations and administration
- Job execution and service management (CDE/CDW/CDL)
- Automation of routine operational tasks
- Strong working knowledge of:
- Cloud IAM (AWS IAM / Azure AD) including roles, policies, and cross-service access
- User and group mapping across CDP, cloud IAM, and Ranger policies
- Troubleshooting access issues across storage (S3/ADLS), CDP services, and data access layers
Preferred Skills
- Modernization of legacy data platforms/applications to Cloudera CDP Public Cloud
- Migration and onboarding of workloads to CDE, CDW, and CAI environments
- Supporting hybrid or multi-environment transitions (on-prem * cloud)
- Familiarity with:
- Cloud platforms (AWS, Azure, GCP) including storage, IAM, and networking concepts
- Kubernetes-based runtime environments (troubleshooting-focused)
- Strong scripting and automation skills (Python, Shell, Terraform) for platform operations
About the company
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
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