Cloud DevOps Engineer Technical Mentor (Part-Time Contractor)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud DevOps Engineer Technical Mentor in United States.

This opportunity is ideal for experienced cloud and DevOps professionals who are passionate about mentoring and helping learners grow their technical expertise. In this role, you will support a global online learning community by guiding students through advanced cloud computing and DevOps concepts, project work, and technical challenges. You will lead interactive sessions, provide personalized coaching, and contribute to creating engaging learning experiences in cutting-edge technologies. The position offers the flexibility to work part-time as an external contractor while collaborating with an international network of technical experts. With a strong focus on innovation, knowledge-sharing, and learner success, this role allows you to make a meaningful impact on the future of tech education while continuing to grow professionally in a rapidly evolving industry.

Accountabilities

• Deliver personalized 1:1 mentoring sessions to support learners with technical questions, coursework, and cloud engineering projects.
• Review learner submissions and identify areas for improvement prior to mentoring sessions when applicable.
• Lead technical deep-dive sessions covering cloud computing, DevOps methodologies, AWS services, and infrastructure best practices.
• Prepare and present educational materials, including slide presentations and practical examples, to enhance learner understanding.
• Conduct project walkthroughs to explain evaluation criteria, common challenges, and successful implementation approaches.
• Host group Q&A sessions through video conferencing or online collaboration platforms to address learner concerns and encourage engagement.
• Support learners in understanding real-world use cases, troubleshooting strategies, automation practices, and scalable cloud architectures.
• Contribute to a positive, collaborative, and motivating learning environment for a global audience of technology professionals and students.
  
  

Requirements

• Minimum of 5 years of professional experience in Cloud Engineering, DevOps, Site Reliability Engineering, or related technical fields.

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• Strong expertise in AWS Cloud services including EC2, S3, RDS, Lambda, DynamoDB, VPC, IAM, SNS, and Elastic Beanstalk.
• Solid understanding of cloud computing principles, networking, autoscaling, load balancing, and cloud security best practices.
• Hands-on experience with Infrastructure as Code tools, particularly AWS CloudFormation.
• Proficiency with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience building and maintaining CI/CD pipelines using GitHub Actions or similar deployment automation tools.
• Familiarity with serverless architectures and monitoring solutions such as Amazon CloudWatch.
• Strong troubleshooting, automation, and problem-solving capabilities in distributed cloud environments.
• Passion for mentoring, coaching, and helping others succeed in their learning journey.
• Excellent communication, presentation, and interpersonal skills with the ability to explain technical concepts clearly.
• Ability to work independently and flexibly as a part-time external contractor.
  
  

Benefits

• Flexible part-time contractor opportunity that can be combined with existing professional commitments.

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• Fully remote work environment with the ability to manage your own schedule.
• Opportunity to mentor learners within a global and innovative tech education ecosystem.
• Exposure to cutting-edge technologies including cloud computing, DevOps, AI, and scalable architectures.
• Additional income opportunities based on project scope and engagement.
• Collaborative international mentor community focused on knowledge-sharing and professional growth.
• Opportunity to strengthen personal branding and showcase technical expertise on a global scale.
• Inclusive and diverse work environment committed to equal opportunity and continuous learning.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.