N #2179
Applications open
Full-Time Job
Full Stack Developer - Trainer-Part time - Remote
GIST Management Solutions
About the role
Job Title: Full Stack Developer Trainer Part-Time | Remote Job Type: Part-Time / Freelance Work Mode: Remote / Online Role: Full Stack Developer Trainer(Teaching Role) (React, Node.js, Cloud & AI-Integrated Engineering) Training Audience: Students and working professionals in the USA Job Description We are looking for an experienced Full Stack Developer Trainer to deliver live, instructor-led online training to students and working professionals based in the USA.Important: This is a Full Stack Developer Trainer role and NOT a full-time software developer role. The ideal candidate must possess strong hands-on engineering experience across modern frontend frameworks, backend architecture, relational/NoSQL databases, containerization, cloud deployment, and AI API integrations, paired with a passion for mentoring learners through practical labs, real-world projects, and code reviews. Key Responsibilities Deliver live, interactive online training to USA-based learners aligned with US time zones. Teach modern frontend development using HTML5, CSS3, Tailwind CSS, JavaScript (ES6+), TypeScript, and React. Cover state management and client-side architecture using React Hooks, Context API, Redux Toolkit, and React Query. Train learners on backend development with Node.js and Express, covering RESTful API architecture, layered controller/service patterns, and GraphQL basics. Implement authentication and authorization mechanisms including JWT, session management, and Role-Based Access Control (RBAC). Guide hands-on database modeling, indexing, migrations, and optimization using PostgreSQL (with Prisma or Sequelize ORM) and MongoDB. Conduct labs on automated software testing and code quality using Jest, React Testing Library, Supertest, Cypress/Playwright, ESLint, and Prettier. Teach DevOps, containerization, and automation fundamentals using Docker, Docker Compose, and CI/CD pipelines via GitHub Actions. Guide learners through cloud infrastructure and deployment on AWS (S3, CloudFront, EC2, ECS, RDS) and managed platforms. Train students on AI-integrated full stack engineering, including integrating LLM APIs (OpenAI/Anthropic/Gemini) into web apps for chat, summarization, and content generation, alongside prompt engineering and safe output handling. Teach system design fundamentals (caching, load balancing, microservices vs. monoliths) and application security best practices (OWASP Top 10, secure secrets management). Mentor students through an end-to-end, portfolio-ready capstone project sprint, conducting regular PR reviews, live debugging, and architecture reviews. Conduct mock technical and behavioral interviews, code reviews, and provide constructive feedback to prepare candidates for US software engineering roles. Required Skills & Experience Minimum 8+ years of professional software engineering experience as a Full Stack Developer, Frontend/Backend Engineer, or Software Engineer. Deep hands-on proficiency with JavaScript, TypeScript, React, Node.js, and Express. Solid experience with both relational (PostgreSQL) and NoSQL (MongoDB) databases, including schema design, indexing, and ORMs like Prisma. Practical experience containerizing applications using Docker / Docker Compose and automating builds/tests with GitHub Actions. Hands-on knowledge of cloud deployments on AWS and serverless/managed hosting services. Practical familiarity with LLM API integration into web applications and modern AI-assisted engineering practices. Strong understanding of RESTful/GraphQL API design, test automation (Jest, Cypress), and application security standards. Exceptional spoken English and presentation skills, with comfort teaching technical topics interactively to a US audience. Previous experience in technical instruction, bootcamp coaching, mentoring, corporate training, or leading engineering teams is highly preferred. Must be willing and available to deliver sessions during US-friendly hours (EST morning or evening windows). Preferred Certifications AWS Certified Developer Associate or AWS Certified Solutions Architect Associate Meta Front-End / Back-End Developer Professional Certificate Comparable industry-recognized cloud or software engineering certifications. Important Note This is a part-time, remote trainer opportunity only. Candidates looking exclusively for a full-time software developer/engineer position should not apply. Candidates should apply only if they have 8+ years of solid hands-on engineering experience, modern React/Node/AWS capabilities, and the availability to train students and professionals in the USA.
Eligibility & process
Who can apply
Experience: 7-12 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for GIST Management Solutions and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
GIST Management Solutions Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for GIST Management Solutions and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Software Engineering, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
GIST Management Solutions Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join GIST Management Solutions as a Full Stack Developer - Trainer-Part time - Remote?
Highlight GIST Management Solutions's market reputation, recent tech innovations, and how your skills in Software Engineering directly solve their team's objectives.
Highlight GIST Management Solutions's market reputation, recent tech innovations, and how your skills in Software Engineering directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package (Best in Industry)
Full-Time Job
Remote, India
Nov 05, 2026
