Mid-Level Technical Trainer – Learning & Development

Key Responsibilities

• Curriculum & Training Design
• Analyze client-specific product/domain requirements to define learning objectives, outcomes, and success metrics.
• Develop modular, role-based training materials (slide decks, hands-on labs, code samples, quizzes) covering:
• Databases: Relational (PostgreSQL, MS SQL Server), NoSQL (MongoDB, Cassandra)
• Programming & Frameworks: Python (including ML pipelines), Java, GoLang, C#/.NET Core, Blazor
• Front-end: ReactJS (components, state management, hooks)
• Big Data & Messaging: HDFS (core commands, shell scripting), Apache Kafka, RabbitMQ, MQTT
• Data Analytics: ETL concepts, Pandas-based data wrangling, Matplotlib visualizations
• Continuously iterate on training content based on learner feedback, technology updates, and best practices.
• Hands-On Development & Domain Engagement
• Collaborate with client SMEs, product owners, and engineering teams to understand architecture, codebase standards, and deployment pipelines.
• Build proof-of-concepts, reference implementations, and sample “mini-projects” that align with the training curriculum.
• Troubleshoot and optimize sample code (both back-end and front-end) to illustrate best practices in performance, scalability, and maintainability.
• Instruction & Mentoring
• Lead instructor-led sessions (in-person or remote) covering theory (20–30%), code walkthroughs (30%), and hands-on labs (40–50%).
• Provide one-on-one mentoring: review trainee code, offer constructive feedback, troubleshoot roadblocks, and ensure skill acquisition.
• Design assessment mechanisms (quizzes, coding assignments, capstone projects) to evaluate learner readiness and provide remediation as needed.
• Onboarding & Trainee Progress Tracking
• Create and maintain a structured onboarding roadmap for college graduates, including prerequisites, recommended readings, and milestone checklists.
• Monitor trainee progress through weekly checkpoints, code reviews, and performance metrics—adjust training pace or content accordingly.
• Knowledge Management & Continuous Improvement
• Maintain and update a centralized repository (internal wiki or LMS) of training artifacts, best practices, troubleshooting guides, and FAQs.
• Host regular “Knowledge-Sharing” sessions or brown-bag workshops to showcase trending technologies, emerging frameworks, and industry insights.
• Solicit and analyse post-training feedback to refine content, delivery style, and instructional tools.
• Collaboration & Stakeholder Communication
• Work closely with HR/Talent Acquisition to align training agendas with hiring timelines and candidate profiles.
• Coordinate with senior architects, DevOps, QA, and UX/UI teams to ensure consistent messaging about coding standards, development processes, and testing methodologies.

Provide periodic status updates and training metrics (enrolment, completion rates, assessment scores) to project sponsors or leadership.

Job Type: Full-time

Pay: ₹50,000.00 - ₹100,000.00 per month

Work Location: In person