The Junior Cloud Engineer supports the design, deployment, and maintenance of cloud-based infrastructure and services. This role assists in managing cloud environments, monitoring system performance, and ensuring reliability, security, and scalability of cloud solutions. It is well suited for an early-career professional seeking hands-on experience in cloud computing and infrastructure engineering.

Key Responsibilities

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2. Assist in deploying, configuring, and maintaining cloud infrastructure and services
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5. Support monitoring, troubleshooting, and performance optimization of cloud environments
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8. Help manage cloud resources, including compute, storage, networking, and access controls
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11. Assist with implementing security best practices, backups, and disaster recovery procedures
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14. Support infrastructure automation using scripts and Infrastructure as Code (IaC) tools
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17. Assist in managing cloud costs, usage tracking, and optimization efforts
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20. Work with cross-functional teams to support application deployments and integrations
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23. Maintain technical documentation and standard operating procedures
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26. Stay up to date with cloud technologies, tools, and best practices
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Requirements

Required Qualifications

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2. Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
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5. 0–2 years of experience in cloud computing, systems administration, or IT support
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8. Basic understanding of cloud platforms (AWS, Azure, or GCP)
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11. Familiarity with networking fundamentals, operating systems, and virtualization
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14. Basic scripting knowledge (e.g., Bash, Python, or PowerShell)
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Skills & Competencies

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2. Strong problem-solving and troubleshooting skills
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5. Attention to detail and reliability
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8. Ability to learn quickly and adapt to new technologies
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11. Good communication and collaboration skills
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14. Time management and task prioritization
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Desired Skills and Experience

Required Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong understanding of statistical methods and data modelling techniques. Ability to work with large datasets and manage multiple tasks effectively. Strong communication skills with the ability to present complex information clearly.

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