Teaching Assistant – Forward Deployed Engineer | Part-Time

Masai; India; Remote; INR 276,000 - 551,000; Part time

Job summary

Masai School is seeking a Teaching Assistant - Forward Deployed Engineer to support learners in an online software engineering program. This role is part-time and fully remote with India as the focus, demanding 6-8 hours per week.

You'll help learners understand software engineering concepts, debug code, and apply knowledge through practical projects, while mentoring and providing feedback in discussions and LMS forums.

Qualifications

• 2+ years of hands-on experience in software engineering or a related technical role.
• Strong programming skills in Python, JavaScript/TypeScript, Java, Go, or similar languages.
• Good understanding of APIs, databases, SQL, and debugging.
• Hands-on experience with Git, REST APIs, and software development workflows.
• Prior experience in teaching, mentoring, training, or academic support.
• Ability to explain technical concepts clearly and practically.

Responsibilities

• Conduct weekly doubt-solving and tutorial sessions.
• Help learners understand software engineering concepts, assignments, and coding challenges.
• Simplify complex technical concepts using practical examples.
• Support learners with programming, debugging, and implementation challenges.

Skills

Python

JavaScript/TypeScript

Java

Go

Tools

Git

REST APIs

CI/CD

Job description

About the Opportunity

Masai School, in academic collaboration with a premier institute, is looking for an experienced Teaching Assistant - Forward Deployed Engineer to support learners enrolled in an online software engineering program.

As a Teaching Assistant, you will work closely with learners to help them understand software engineering concepts, solve technical doubts, debug code, and apply their learning through practical, real-world projects.

This is a great opportunity for software engineering professionals who enjoy teaching, mentoring, problem-solving, and helping others learn.

Institution: Masai School, in academic collaboration with a premier institute
Program: Forward Deployed Engineering
Mode: Fully Remote | India
Engagement: Part-Time
Time Commitment: 6-8 hours per week

Key ResponsibilitiesTeaching & Doubt Resolution

• Conduct weekly doubt-solving and tutorial sessions.

• Help learners understand software engineering concepts, assignments, and coding challenges.

• Simplify complex technical concepts using practical examples.

• Support learners with programming, debugging, and implementation challenges.

Technical & Academic Support

• Assist learners with backend development, APIs, databases, system integration, and software engineering practices.

• Help debug code and troubleshoot technical issues.

• Guide learners in building and improving applications and technical solutions.

• Answer technical questions through discussion forums, chats, and LMS platforms.

Project & Industry Support

• Help learners apply software engineering concepts through practical, real-world projects.

• Guide learners on APIs, third-party integrations, cloud platforms, deployment, and production workflows.

• Share relevant industry use cases and engineering best practices.

• Help learners understand system design, scalability, testing, and debugging practices.

Learner Engagement

• Provide regular feedback and guidance to learners.

• Encourage active participation in sessions and technical discussions.

• Track learner progress and highlight challenges to the academic team.

• Contribute feedback to improve the learning experience and course delivery.

Candidate Requirements

Must Have

• 2+ years of hands-on experience in software engineering, full-stack development, solutions engineering, or a related technical role.
• Strong programming skills in Python, JavaScript/TypeScript, Java, Go, or similar languages.
• Good understanding of:
• APIs and backend development
• Databases and SQL
• Software engineering fundamentals
• Debugging and troubleshooting
• Hands-on experience with Git, REST APIs, and software development workflows.
• Prior experience in teaching, mentoring, training, or academic support.
• Ability to explain technical concepts clearly and practically.

Good to Have

• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with Docker, CI/CD, and deployment workflows.
• Understanding of system design and distributed systems.
• Experience with AI/ML or Generative AI integrations.
• Experience mentoring students, developers,