Trainer

Futurense Technologies; Phagwara; On-site; INR 600,000 - 900,000; Full time

Job summary

Futurense Technologies, in collaboration with LPU Phagwara, seeks an experienced trainer to deliver DSA and placement preparation on campus. You will mentor students, own learning outcomes, and drive placement readiness through structured sessions and real-world coding challenges.

The role is on-ground at the LPU campus, with hands-on teaching, mock interviews, resume guidance, and ongoing curriculum development to meet industry demands.

Qualifications

• DSA from fundamentals to advanced concepts with clarity.
• Proficiency in 2–3 languages (C++, Java, Python).
• Experience teaching DSA and placement preparation.
• Strong ability to mentor and provide feedback.

Responsibilities

• Deliver DSA & coding sessions per curriculum schedule.
• Design engaging learning materials, assignments, and hands-on coding exercises.
• Conduct regular assessments and provide constructive feedback on student performance.
• Maintain current knowledge of industry-relevant DSA concepts and best practices.
• Placement Preparation & Interview Readiness: lead mock interviews and resume reviews.
• Track student placement progress and coordinate with placement partners.

Skills

DSA Expertise

Programming Languages

Problem Solving

Interview Coaching

Teaching Experience

Curriculum Design

English Communication

Student Mentoring

Tools

LeetCode

HackerRank

Job description

Position Title: Trainer - DSA & Placement Preparation

Full-Time | On-Ground, Campus-Based

Location: LPU, Phagwara

Level: Mid-Level, Individual Contributor

Reports to: Training Manager

ABOUT OUR PROGRAM

We are building Indias future-ready technology workforce through industry-aligned programming education. Our partnership with LPU focuses on delivering cutting-edge technical training in Data Engineering and AI and, placement preparation to equip students for successful careers in technology. We combine rigorous academics with practical, hands‑on training and strong placement outcomes.

ABOUT THE ROLE

This is a hands‑on role for an experienced trainer who combines technical excellence with strong student mentoring. You will teach Data Structures & Algorithms (DSA) and placement preparation, while owning student learning outcomes, engagement, and placement readiness. You are not just an instructor-you are a trainer, mentor, and student success owner rolled into one. Youll work on‑ground at the LPU campus, directly engaging with students daily.

MUST-HAVE SKILLS

• Data Structures & Algorithms Expertise
• Strong command of fundamental and advanced data structures (arrays, linked lists, trees, graphs, heaps, etc.)
• Deep understanding of algorithm design, complexity analysis, and optimization techniques
• Proficiency in at least 2-3 programming languages (C++, Java, Python)
• Hands‑on problem‑solving ability and experience with coding platforms (LeetCode, HackerRank, etc.)
• Ability to teach DSA from fundamentals to advanced concepts with clarity Placement Preparation & Interview Coaching
• Demonstrated experience in placement training and interview preparation
• Strong knowledge of technical interview patterns, coding challenges, and problem‑solving strategies
• Experience conducting mock interviews and providing constructive feedback
• Understanding of resume building, interview techniques, and placement landscape
• Familiarity with current placement trends and industry requirements
• Teaching Experience (Required)
• Minimum 2 years of hands‑on teaching or training experience in DSA, programming, or technical subjects
• Proven ability to make complex technical concepts accessible to diverse learner audiences
• Experience designing or delivering structured curriculum with assessments and projects
• Strong classroom presence, high energy, and genuine passion for student success
• Student Experience & Communication
• Strong ownership mindset for student satisfaction and learning outcomes
• Comfortable working full‑time on‑ground at university campus
• Clear verbal and written communication in English
• Professional communication with students, faculty, and institutional stakeholders
• Ability to identify at‑risk learners and intervene proactively

GOOD-TO-HAVE SKILLS

• Experience with AI/ML fundamentals or data science basics
• Familiarity with online learning platforms and LMS
• Experience in EdTech or university delivery programmes
• Knowledge of data analytics or foundational data engineering concepts
• Certifications in DSA, competitive programming, or technical domains
• Experience building learning aids or student success tools
• System design basics or advanced problem‑solving experience
• Multilingual abilities

KEY RESPONSIBILITY AREAS (KRAs)

• DSA & Technical Instruction
• Deliver high‑quality sessions on Data Structures, Algorithms, and coding fundamentals per curriculum schedule
• Design engaging learning materials, assignments, and hands‑on coding exercises
• Conduct regular assessments and provide constructive feedback on student performanceMaintain current knowledge of industry‑relevant DSA concepts and best practices
• Placement Preparation & Interview Readiness
• Lead comprehensive placement preparation: DSA coding sessions, mock interviews, resume reviews
• Conduct weekly mock interview drills and provide detailed feedback
• Guide students on interview techniques, system design basics, and career readiness
• Track student placement progress and coordinate with placement partners
• Student Experience & Learning Outcomes
• Own student satisfaction and learning outcomes end‑to‑end
• Conduct regular student check‑ins; identify at‑risk learners and intervene proactively
• Maintain high student engagement and motivation throughout the program
• Provide 1:1 mentoring, doubt‑clearing sessions, and career guidance
• On‑Ground Campus Presence
• Maintain strong daily on‑campus presence and availability for students
• Ensure high attendance and sustained student motivation
• Build strong rapport with students and support their holistic development
• Coordinate with LPU stakeholders on student concerns and program requirements
• Performance Tracking & Reporting
• Maintain weekly dashboards on student progress, learning outcomes, and placement pipeline
• Track and report on key metrics: attendance, assessment scores, placement readiness
• Provide timely escalation reports on at‑risk learners or program concerns
• Ensure accuracy and timeliness of all documentation and data