Cloud Engineer Job Description

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March 12, 2025
Agile & Scrum Methodologies, Android Developer, Big Data Technologies (Hadoop, Spark), Data Engineering, DevOps & CI/CD, Frontend & Backend Development, Machine Learning Pipelines, Microservices Architecture, Object-Oriented Programming (OOP), Programming (Python, Java, C++, JavaScript, etc.), Software Development, SQL & NoSQL Databases, UI UX, ull-Stack Development, Web and Application Developer
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Job Summary:

We are seeking a skilled Cloud Engineer to design, implement, and maintain cloud infrastructure. The ideal candidate will have expertise in cloud computing platforms such as AWS, Azure, or Google Cloud, along with experience in automation, security, and system optimization. You will collaborate with developers, DevOps teams, and security experts to ensure a robust and scalable cloud environment.

Key Responsibilities:

Design, deploy, and manage scalable cloud infrastructure using AWS, Azure, or Google Cloud.
Implement automation and Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible.
Monitor cloud performance, security, and cost optimization.
Troubleshoot cloud-based applications and services.
Implement cloud security best practices, including identity management, encryption, and compliance.
Collaborate with development and DevOps teams to enhance CI/CD pipelines.
Set up and maintain cloud networking, including VPCs, VPNs, Load Balancers, and Firewalls.
Conduct cloud migrations and ensure high availability and disaster recovery.
Stay up to date with the latest cloud technologies and trends.

Required Skills & Qualifications:

Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience).
2+ years of experience in cloud engineering or a similar role.
Proficiency in AWS, Azure, or Google Cloud.
Hands-on experience with Docker, Kubernetes, and CI/CD tools.
Strong scripting skills in Python, Bash, or PowerShell.
Knowledge of networking, security, and cloud architecture best practices.
Experience with logging and monitoring tools like CloudWatch, Prometheus, or ELK Stack.
Strong problem-solving and troubleshooting skills.
Relevant certifications (AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Professional Engineer) are a plus.

Preferred Qualifications:

Familiarity with databases (SQL, NoSQL) and storage solutions.

Experience in multi-cloud environments.

Knowledge of serverless architectures (Lambda, Azure Functions, Google Cloud Functions).

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