Role Description The Part-Time Instructor for Cloud Computing & DevOps plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect cloud and DevOps concepts to real-world infrastructure, automation, and deployment practices. This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format. Key Responsibilities - Deliver live online training sessions covering Cloud Computing, DevOps, and Site Reliability Engineering (SRE) concepts. - Cover core topics including: - Cloud Computing Platforms - Cloud infrastructure fundamentals - Deployment and management of cloud resources - Hands-on use of: - Amazon Web Services (AWS) - Microsoft Azure - Google Cloud Platform (GCP) - DevOps Concepts & Practices - Continuous Integration and Continuous Delivery (CI/CD) - Automation and deployment workflows - Infrastructure monitoring and observability - Containerization and orchestration concepts - DevOps lifecycle and collaboration practices - DevOps Tools & Technologies - Jenkins - Git and GitHub workflows - Docker containerization - Kubernetes orchestration - Terraform for Infrastructure as Code (IaC) - Ansible for configuration management - Monitoring tools such as Prometheus and Grafana - Infrastructure & Architecture - Infrastructure as Code (IaC) concepts and implementation - Microservices architecture fundamentals - Serverless computing concepts and cloud-native design - Deployment automation and scalability best practices - Security & Compliance - Security best practices in cloud environments - Identity and access management concepts - Compliance and governance fundamentals - Monitoring, logging, and incident management - Provide hands-on demonstrations, labs, and guided project support. - Facilitate practical exercises, assignments, and real-world deployment scenarios. - Mentor learners and resolve technical or conceptual queries. - Conduct assessments, evaluations, and feedback sessions. - Maintain session quality metrics and learner engagement standards. - Collaborate with internal teams on curriculum updates and technical content refinement. Qualifications - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field - 7+ years of professional experience in Cloud Computing, DevOps, or Site Reliability Engineering (SRE) roles - Hands-on expertise with one or more major cloud platforms: - Amazon Web Services (AWS) - Microsoft Azure - Google Cloud (GCP) - Strong understanding of DevOps concepts including: - Continuous Integration (CI) - Continuous Delivery/Deployment (CD) - Automation - Monitoring and observability - Container orchestration - Practical experience with DevOps tools such as: - Jenkins - Git/GitHub - Docker - Kubernetes - Terraform - Ansible - Prometheus/Grafana - Working knowledge of: - Infrastructure as Code (IaC) - Microservices architecture - Serverless computing - Familiarity with security and compliance best practices in cloud environments - Prior experience delivering online or classroom training preferred - Excellent communication, facilitation, and presentation skills Preferred Qualifications - Certifications such as: - AWS Certified Solutions Architect - Microsoft Certified: Azure Administrator/DevOps Engineer - Google Professional Cloud Architect - Equivalent cloud or DevOps certifications - Experience working in enterprise cloud migration or DevOps transformation initiatives - Familiarity with Agile and DevSecOps practices - Exposure to CI/CD pipeline optimization and automation frameworks - Experience mentoring engineers or technical learners Key Competencies - Strong instructional and facilitation skills - Ability to simplify complex cloud and DevOps concepts clearly - Structured and professional virtual delivery approach - Strong analytical and troubleshooting mindset - Hands-on mentoring and learner support capability - Adaptability to evolving cloud technologies and automation practices Student Support & Mentorship - Provide individualized student support during live sessions and scheduled office hours. - Maintain regular communication with students regarding progress, expectations, and milestones. - Respond to student and staff communications in a timely and professional manner. - Provide clear, constructive, and timely feedback on assignments, assessments, and lab activities. Performance Monitoring - Evaluate student progress based on course deliverables and established grading rubrics. - Maintain accurate documentation of student performance and engagement. - Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff. - Support learner improvement plans and certification readiness initiatives when necessary. Collaboration & Professional Conduct - Adhere to institutional policies and instructional team standards. - Foster an inclusive, respectful, and professional learning environment. - Serve as a role model and mentor for learners pursuing Cloud and DevOps careers. - Collaborate with instructional staff and program teams to improve the learner experience and program outcomes. - Represent the organization professionally when interacting with students, staff, and external stakeholders. Work Schedule - Part-Time instructors typically work 10–15 hours per week depending on cohort schedules. - The total weekly part-time commitment is expected to be 8–12 hours. - Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday) - Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday) - Flexibility for evening availability is required. Compensation - The anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience. - This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws. Equal Employment Opportunity We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

• Lead the Platform Evolution: Design and operate our Kubernetes ecosystem (GKE, multi-cluster) with a focus on high availability and zero-downtime operations. • Build "Paved Roads": Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently. • Architect Reliability: Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry). • Drive Infrastructure-as-Code: Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled. • Own the Error Budget: Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks. • Disaster Recovery Mastery: Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity. • Innovate Operations: Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.

• Lead the Platform Evolution: Design and operate our Kubernetes ecosystem (GKE, multi-cluster) focusing on high availability and zero-downtime operations. • Build "Paved Roads": Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently. • Architect Reliability: Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry). • Drive Infrastructure-as-Code: Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled. • Own the Error Budget: Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks. • Disaster Recovery Mastery: Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity. • Innovate Operations: Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.

• Lead the Platform Evolution: Design and operate our Kubernetes ecosystem (GKE, multi-cluster) with a focus on high availability and zero-downtime operations. • Build "Paved Roads": Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently. • Architect Reliability: Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry). • Drive Infrastructure-as-Code: Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled. • Own the Error Budget: Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks. • Disaster Recovery Mastery: Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity. • Innovate Operations: Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.