Remote AWS DevOps Instructor - Part-Time

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent.

With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings.

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Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

POSITION TITLE: AWS Dev Ops Instructor

DURATION:Part-Time Contract Role

COMPENSATION:$65/hour

WHO WE’RE LOOKING FOR

Per Scholas is seeking a part-time AWS Dev Ops instructor to become a member of our team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients’ and learners’ high expectations.

WHAT YOU’LL DO

• Support instructor-led training that prepares students for entry-level to mid-level careers in AWS Dev Ops Engineering. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more.
• Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum.
• Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
• Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes.
• Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials.

WHAT YOU’LL BRING TO US

Instructional Skill Sets

• 1-3 years of teaching or training experience
• Strong technical background; able to grasp and convey highly technical subject matter
• Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment.

Required Skill Sets

• AWS Professional Mastery: Deep technical knowledge of the AWS Certified Dev Ops Engineer Professional (DOP-C02) exam domains.
• SDLC Automation: Hands-on expertise building and debugging CI/CD pipelines using AWS Code Commit, Code Build, Code Deploy, and Code Pipeline.
• Infrastructure as Code (IaC): Proficiency in provisioning multi-account environments using AWS Cloud Formation, Ops Works, and Elastic Beanstalk.
• Observability & Logging: Expert ability to configure and audit systems using Amazon Cloud Watch, AWS Cloud Trail, and AWS X-Ray.
• High Availability & Resilience: Experience architecting self-healing solutions using Auto Scaling, Elastic Load Balancing (ELB), and Route 53.
• Security & Governance: Strong understanding of IAM policies, AWS Config, KMS, and Secrets Manager to enforce automated compliance.
• Serverless & Event Automation: Skilled in developing AWS Lambda functions for event-driven remediation via Amazon Event Bridge.
• Certification: Active AWS Certified Dev Ops Engineer – Professional certification is highly preferred.

Preferred Skill Sets

• Generative AI Integration: Ability to demonstrate the use of LLMs and Copilots…