Job Description

Job Description • Your responsibilities as a technical mentor will be divided into three major tasks. • 11 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 Apply tot his job Apply To this Job

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