Job Description:

• Your responsibilities as a technical mentor will be divided into three major tasks.
• 1:1 video calls
• Virtual Technical Deep-Dive Sessions
• Group Q&A sessions
• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.
• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.
• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Requirements:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments
• Strong understanding of AWS Cloud fundamentals and core cloud computing concepts
• Hands-on experience with AWS services including EC2, S3, RDS, Lambda, DynamoDB, VPC, IAM, SNS, and Elastic Beanstalk
• Knowledge of cloud networking, load balancing, autoscaling, and security best practices
• Experience with Infrastructure as Code (IaC) using AWS CloudFormation
• Proficiency in containerization and orchestration tools such as Docker and Kubernetes
• Experience building and managing CI/CD pipelines using GitHub Actions and deployment automation tools
• Familiarity with serverless architectures and AWS Lambda-based development
• Knowledge of monitoring, logging, and observability tools including Amazon CloudWatch
• Understanding of microservices architecture and scalable cloud deployments
• Strong troubleshooting, automation, and problem-solving skills.

Benefits:

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule