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

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.

Key Result Areas (KRA) with Metrics & Weightage

KRA

KPI / Measurement

Target (Per Semester unless stated)

Weight

Training Delivery & Coverage

Syllabus completion across C/C++/Java/Python; planned vs delivered hours; average attendance

≥ 95% coverage; ≥ 80% attendance/batch

Continuous Assessment & Learning Gain

Number of assessments; pre-/post-test improvement (avg score delta)

≥ 4 graded assessments/module; ≥ +20% average improvement

Coding Proficiency (DSA & Problem Solving)

Weekly challenge scores; success on online judge sets; complexity awareness

≥ 70% students solve set A*; ≥ 40%* solve set B

Project Delivery (Mini & Capstone)

On-time submissions; rubric scores; code quality & tests; Git hygiene

100% teams submit; ≥ 75% score ≥ 70/100; tests present in ≥ 70% repos

Placement Readiness & Conversion

Mock interview pass rates; company-pattern readiness; placement outcomes linked to trainer cohorts

≥ 75% students clear internal tech screen; yearly: ≥ +10% uplift in tech-round conversions

Remedial Support & Uplift

Identified at-risk learners; remedial attendance; uplift post-remediation

Identify 100% at-risk; ≥ 80% attend clinics; ≥ 60% show uplift ≥ 15%

Student Satisfaction (QoS)

Feedback (module/semester) on content, clarity, support

Average rating ≥ 4.2/5

Content Development & Refresh

New problems/caselets; updated decks; recordings/job-aids

≥ 1 fresh mini project + 10 new problems/semester; quarterly content refresh

Stakeholder Collaboration & Reporting

Timely reports to Department & Placement Cell; industry connects

100% reports on time; ≥ 2 industry sessions/semester

Apply through mail : careers1@hkbk.edu.in

Job Type: Full-time

Pay: From ₹900,000.00 per year

Benefits:

• Health insurance

Work Location: In person