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
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