Technical Trainer (Programming Language Trainer)

JD & KRA Technical Trainer (Programming Languages: C, C++, Java, Python)

Role Snapshot

Field

Details

Position Title

Technical Trainer (Programming Language Trainer)

Department

Upskilling & Industry Collaboration

Audience

Engineering (CSE/IT/Allied), BCA, B.Sc. (Computer Science)

Primary Stack

C, C++, Java, Python (with DSA, OOPs, Git/GitHub, Unit Testing, Linux)

Objectives

Industry-grade coding readiness, project-based learning, continuous assessment, placement support, measurable improvement in quality & outcomes

Role Summary

Drive end-to-end coding excellence across C, C++, Java and Python through structured modules, labs, and projects. Design mini/capstone projects and rigorous assignments, run continuous assessments, track each student’s progress, and collaborate with the Placement Cell to improve test-to-hire conversion and overall quality.

Key Responsibilities (JD)

A. Curriculum & Delivery

• Deliver outcome-oriented modules in

  C, C++, Java, Python

  covering syntax OOP DSA problem-solving debugging unit testing version control.
• Map curriculum to

  year/degree level

  (FY fundamentals; SY OOP & DSA; TY advanced topics, frameworks/tooling).
• Run

  hands-on labs

  (IDE setup, CLI, gcc/g++, GDB, Java/JDK, IntelliJ/Eclipse, Python/venv/pytest).
• Incorporate

  industry practices

  : code reviews, pair programming, Git workflows, issue boards, basic Agile ceremonies.

B. Projects, Assignments & Portfolios

• Mini projects

  per module and

  semester capstones

  with clear problem statements, constraints, and evaluation rubrics.
• Curate

  domain-themed capstones

  (e.g., fintech billing engine in Java, IoT sensor logger in C/C++, Python data pipeline, CLI tools, REST stubs).
• Ensure each student maintains a

  GitHub portfolio

  with READMEs, test cases, and CI basics (where feasible).
• Provide

  starter kits, datasets, and sample test specs

  ; emphasise documentation and code quality gates.

C. Continuous Assessment & Progress Tracking

• Establish

  baseline diagnostics

  (entry test) and

  weekly coding sprints

  (timed challenges on DSA/problem solving).
• Use a

  scoring rubric

  (correctness, complexity, code quality, tests, documentation, version control hygiene).
• Maintain

  progress dashboards

  per student (attendance, scores, attempts, improvements, at-risk flags).
• Run

  remedial clinics

  for low performers; publish fortnightly improvement plans and outcomes.

D. Placement Enablement

• Align with

  Placement Cell

  to target coding rounds (MCQs, whiteboard, online judges), company-wise patterns, and

  mock interviews

  .
• Conduct

  interview drills

  : problem decomposition, communication of approach, edge-case thinking, trade-offs.
• Prepare

  role-ready tracks

  (e.g., Java developer basics, Python scripting/automation, C/C++ systems fundamentals).
• Integrate

  aptitude + technical

  checkpoints close to drive timelines; support hackathons and coding contests.

E. Content Development & Quality

• Build and continuously refresh

  slides, labs, problem banks, solution keys

  , and

  video snippets

  for revision.
• Map outcomes to

  Bloom’s taxonomy

  ; maintain

  question banks at multiple difficulty levels

  .
• Collect and act on

  student feedback

  every module; run

  after-action reviews

  post each placement cycle.

F. Collaboration & Administration

• Coordinate timetables with departments; ensure

  lab readiness

  (software/versions/licenses).
• Submit

  attendance, assessment analytics, and placement-readiness reports

  on schedule.
• Conduct

  faculty bridges

  to integrate coding components with course projects and allied lab courses.

Qualifications & Experience

• Education

  : B.E/B.Tech. M.E./M.Tech(CSE/IT/ECE) or MCA/M.Sc. (CS/IT); higher qualifications preferred.

• Experience

  : 5–8+ years in

  corporate/ed-tech training

  or as a

  software engineer

  with evidence of training/mentoring.

• Skills

  : Strong in

  C, C++, Java, Python

  , OOP, DSA, debugging, unit testing (JUnit/pytest), Git/GitHub, Linux basics; exposure to build tools (Maven/Gradle), simple REST/JSON, and basic SQL is a plus.

• Desirables

  : Recognised certifications (e.g.,

  PCAP/PCPP

  ,

  OCP Java

  ), strong coding profiles (GitHub/LeetCode/CodeChef), record of

  project supervision

  leading to internships/placements.