Etic, Cloud Infrastructure Sme - Manager

Dc404

**
Linux-based platforms and distributed systems
Kubernetes deployment and operational support
Azure databricks or aws emr experience
** Dc404 is seeking a Cloud Infrastructure Architect to manage the delivery of data and analytics platforms, focusing on hands-on support across cloud environments like Azure and AWS. The ideal candidate should possess strong technical skills in Linux, Kubernetes, CI/CD pipelines, and data services while demonstrating effective communication and client-facing capabilities. **

Job Summary

  • This role involves supporting the design, build, deployment, and operational readiness of environments across Azure and AWS.
  • The position requires hands-on expertise in Linux administration, Kubernetes operations, and configuring CI/CD pipelines using Azure Pipelines.
  • Candidates will work on cutting-edge data and analytics platforms while contributing to internal capability development within PwC's ecosystem.

Matching Summary

Match Score: 75

** Dc404 is seeking a Cloud Infrastructure Architect to manage the delivery of data and analytics platforms, focusing on hands-on support across cloud environments like Azure and AWS. The ideal candidate should possess strong technical skills in Linux, Kubernetes, CI/CD pipelines, and data services while demonstrating effective communication and client-facing capabilities. **

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 data services

Nice-to-have

  • Strong communication for non-technical stakeholders
  • Experience in consulting or client-facing delivery
  • 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 experience with Kubernetes deployment
  • Experience supporting data platforms like Azure Databricks
  • Working knowledge of PostgreSQL in operations
  • Experience in a consulting or client-facing environment

Work Rights

Not specified

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