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Technical Instructor (AWS DevOps) in United States at Jobgether

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Jobgether
United States, United States
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Job Description

Technical Instructor (AWS DevOps)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Instructor (AWS DevOps) in United States.

This role is designed for a highly skilled technologist with a passion for teaching and mentorship, focused on preparing learners for careers in cloud and DevOps engineering. You will deliver structured, instructor-led training programs centered on AWS DevOps certification and real-world engineering practices. The position combines deep technical expertise with hands-on instructional delivery in a dynamic, remote or hybrid learning environment. You will guide learners through complex cloud infrastructure, CI/CD pipelines, automation, and observability concepts while tracking progress and adapting instruction to individual needs. The role is highly mission-driven, emphasizing learner success, accessibility in tech education, and career transformation outcomes. You will collaborate closely with internal teams to continuously improve curriculum, student experience, and training effectiveness.

Accountabilities:
  • Deliver instructor-led training sessions focused on AWS DevOps engineering, supporting learners from foundational concepts through certification readiness and job preparedness.
  • Administer assessments, evaluate student performance, and provide individualized feedback, tutoring, and learning support to ensure consistent progress and skill mastery.
  • Teach and reinforce key DevOps concepts including CI/CD pipelines, infrastructure as code, automation, monitoring, and cloud architecture using AWS services.
  • Maintain accurate student records, including grades, attendance, certification progress, and performance notes using LMS and CRM systems such as Salesforce.
  • Support and refine training materials, including lesson plans, syllabi, labs, and hands-on exercises aligned with AWS DevOps certification standards.
  • Collaborate with internal teams to identify learner challenges, develop support strategies, and ensure strong completion and placement outcomes.
  • Guide learners in applying real-world tools and workflows, including cloud deployment, scripting, and automation practices used in modern DevOps environments.
Requirements:
  • 1–3 years of teaching, training, or instructional experience, ideally in technical or IT-related subjects.
  • Strong hands-on expertise in AWS DevOps, including CI/CD tools such as AWS CodePipeline, CodeBuild, CodeDeploy, and CodeCommit.
  • Deep understanding of infrastructure as code using tools like AWS CloudFormation, OpsWorks, and Elastic Beanstalk.
  • Strong knowledge of cloud observability and monitoring tools such as Amazon CloudWatch, AWS CloudTrail, and AWS X-Ray.
  • Experience with automation, scripting, and DevOps practices using Python and AWS SDKs (Boto3).
  • Familiarity with cloud architecture principles including high availability, scalability, security, and resilience in AWS environments.
  • Strong communication, presentation, and interpersonal skills, with the ability to explain complex technical topics clearly and effectively.
  • Active AWS Certified DevOps Engineer – Professional certification strongly preferred.
  • Experience with modern learning and collaboration tools such as Zoom, Slack, PowerPoint, and LMS/CRM platforms.
Benefits:
  • Competitive hourly compensation ranging from $60 to $65 per hour depending on experience and location.
  • Flexible part-time, contract-based remote work arrangement supporting work-life balance.
  • Opportunity to contribute to a mission-driven organization focused on expanding access to high-quality tech education and career mobility.
  • Exposure to diverse learners and real-world instructional impact in cloud and DevOps training programs.
  • Collaborative environment with continuous improvement of curriculum, tools, and teaching methodologies.
  • Access to a comprehensive benefits package (for eligible employees), including healthcare options, retirement plans, paid time off, and wellness resources.
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!
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.
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Job Location

United States, United States

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