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Generalist cloud title, 1–5 years mid-level range, broad multi-cloud skillset drives high applicant competition.
Cloud engineering skills are highly transferable across industries despite some automotive knowledge preference.
Explicit 1–5 years requirement plus mandatory cloud platform and automation skills gives moderately strict shortlisting.
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Develop and deploy cloud automation frameworks focusing on optimization, cost management, and integration with data visualization tools like Power BI.
Collaborate with engineering teams to design and maintain cloud solutions across AWS, GCP, or Azure, including troubleshooting and resolving cloud platform issues.
Manage cloud database efficiency, optimize resource usage, and document technical processes and deployment strategies.
1-5 years of relevant experience in cloud engineering or related roles.
Proficiency with cloud platforms such as AWS, GCP, or Azure, including services like AWS Sagemaker, S3, Lambda, EC2, IAM roles.
Bachelor's or Master's degree in Electrical and Electronics Engineering.
Strong Linux/Unix and Windows Server administration skills along with networking and scripting/programming expertise (Python preferred).
Experienced in cloud cost optimization and resource right-sizing within large-scale environments.
Familiarity with integration of cloud services with visualization and automation tools (e.g., Power BI, ODBC connectors).
Knowledge or exposure to automotive systems, vehicle networks, and standards is advantageous.