Mid-Level Technical Trainer - Mangaluru - Sierra Learning Academy Private Limited

Description

Job Overview

We are seeking a proactive Mid-Level Technical Trainer with 4–6 years of hands-on software development experience to join our team. In this role, you will:

• Engage in product/domain immersion across diverse client environments, tailoring training curricula to specific technology stacks and organizational needs.
• Deliver high-impact technical training, mentoring freshly onboarded college graduates through structured workshops, lab exercises, and real-world assignments.
• Balance individual contributor responsibilities (coding, proof-of-concept delivery) with training program design and instructional leadership.

If you have a strong development background, excellent communication skills, and a passion for empowering early-career engineers, this role offers an exciting opportunity to influence both product delivery and workforce upskilling.

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.

Qualifications & Skills

Experience & Background

• Total Professional Experience: 4–6 years in software development, technical consulting, or training roles.
• Development Expertise: At least 3 years of hands-on coding in two or more of the following domains:
• Back-End: Python (including basic ML pipelines), Java (Spring/REST), GoLang, C#/.NET Core (Blazor)
• Front-End: ReactJS (functional components, state/hooks, component composition)
• Data Storage: PostgreSQL, MS SQL Server, NoSQL (MongoDB, Cassandra)
• Big Data & Messaging: HDFS (Bash/CLI), Apache Kafka (producer/consumer patterns), RabbitMQ, MQTT
• Data Analytics: Pandas-based ETL, basic visualization with Matplotlib

Core Competencies

Instructional Design & Delivery

• Proven experience designing and delivering technical training sessions (classroom or virtual).
• Ability to break down complex topics into modular, digestible learning modules.

Full-Stack Development Acumen

• Deep understanding of software design patterns, RESTful API development, and asynchronous messaging architectures.
• Familiarity with CI/CD pipelines (Jenkins, GitLab CI) and version control best practices (Git branching, pull requests).

Communication & Mentoring

• Exceptional verbal and written communication skills; comfortable presenting to groups of 10–20 trainees.
• Strong interpersonal skills to provide empathetic, actionable feedback during one-on-one mentorship.

Analytical & Problem-Solving

• Demonstrated ability to troubleshoot production-like scenarios (performance bottlenecks, data inconsistency, messaging failures).
• Resourcefulness in researching new technologies, diagnosing root causes, and implementing practical solutions.

Adaptability & Continuous Learning

• Genuine passion for staying current with emerging trends (cloud-native patterns, container orchestration, advanced ML libraries).
• Willingness to rapidly upskill in unfamiliar frameworks or tools based on evolving client requirements.

Preferred Qualifications (Nice to Have)

• Domain Exposure: Prior experience working in financial services, healthcare, or IoT industries—familiarity with domain-specific compliance or data workflows.
• Cloud Platform Experience: Hands-on knowledge of deploying/troubleshooting workloads on AWS, Azure, or Google Cloud (EC2, S3, Azure App Services, GCP Compute Engine).
• Certification: Any relevant credentials such as:
• Oracle Certified Professional – Java SE
• Microsoft Certified: Azure Developer Associate
• Confluent Certified Developer for Apache Kafka
• Public Speaking & Content Creation: Experience authoring technical blogs, whitepapers, or delivering webinars at college campuses or meetups.
• Instructional Technology Tools: Familiarity with Learning Management Systems (e.g., Moodle, Canvas) and authoring tools (Articulate, Captivate).

Apply Now:

Salary: ₹7 to ₹12 LPA

Please Note: If you're familiar with any of the listed technologies, we encourage you to apply for the position.