Etic, Cloud Infrastructure Sme - Manager

UNYCC

**
Linux-based platforms and distributed systems
Kubernetes deployment and operational support
Azure databricks or aws emr experience
** UNYCC is seeking a Cloud Infrastructure SME Manager to support data and analytics platforms, focusing on hands-on delivery and technical expertise in cloud data services, particularly within Azure and AWS environments. The ideal candidate will possess strong skills in Linux, Kubernetes, and CI/CD pipelines, along with experience in supporting analytics workloads. **

Job Summary

  • This role involves supporting the design, build, deployment, and operational readiness of data and analytics platforms across Azure and AWS.
  • The position requires hands-on expertise in Linux administration, Kubernetes operations, and configuring CI/CD pipelines for reliable deployments.
  • Candidates will work on cutting-edge data platforms while contributing to internal capability development and knowledge transfer within a consulting environment.

Matching Summary

Match Score: 75

** UNYCC is seeking a Cloud Infrastructure SME Manager to support data and analytics platforms, focusing on hands-on delivery and technical expertise in cloud data services, particularly within Azure and AWS environments. The ideal candidate will possess strong skills in Linux, Kubernetes, and CI/CD pipelines, along with experience in supporting analytics workloads. **

Skills & Requirements

Must-have

  • Linux-based platforms and distributed systems
  • Kubernetes deployment and operational support
  • Azure Databricks or AWS EMR experience
  • CI/CD tooling with Azure Pipelines
  • PostgreSQL setup and performance tuning
  • Azure and AWS cloud platform exposure

Nice-to-have

  • Strong communication with non-technical stakeholders
  • Consulting or client-facing delivery environment
  • Proactive identification of risks and dependencies
  • Willingness to learn new technologies quickly
  • Commitment to continuous team capability building

Key Requirements

  • Hands-on experience with Linux and distributed systems
  • Practical Kubernetes deployment and operational support
  • Experience with Azure Databricks or AWS EMR
  • Working knowledge of PostgreSQL in delivery context
  • Experience in consulting or client-facing delivery

Work Rights

Not specified

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