DSA Instructor

About the role:

We are looking for a Design and Analysis of Algorithms (DAA) Instructor who can teach and mentor learners in algorithmic problem-solving, data structures, algorithm design, and complexity analysis. The instructor will be responsible for delivering concept-driven and problem-solving-oriented sessions that help learners develop strong analytical and coding skills.

Key Responsibilities:

• Deliver engaging sessions on Design and Analysis of Algorithms for undergraduate and early-career learners.
• Teach algorithm design paradigms including:
• Divide and Conquer
• Greedy Algorithms
• Dynamic Programming
• Backtracking
• Branch and Bound
• Recursion and Iteration
• Explain time and space complexity, asymptotic analysis, Big-O, Big-Theta and Big-Omega.
• Cover fundamental data structures and their application in algorithm design.
• Teach graph and tree algorithms, including traversal, shortest path, minimum spanning tree and related concepts.
• Explain sorting, searching, hashing and optimization techniques.
• Develop coding problems, assignments, assessments and practice exercises.
• Conduct live coding and walkthroughs of algorithmic problems.
• Evaluate learner submissions and provide constructive feedback.
• Identify common learner gaps and adapt teaching approaches accordingly.
• Mentor learners in competitive programming and technical interview problem-solving where required.
• Contribute to curriculum development and improvement of learning content.

Required Skills:

• Strong understanding of Data Structures and Algorithms.
• Strong knowledge of algorithm design and complexity analysis.
• Proficiency in at least one programming language such as C++, Java or Python.
• Ability to explain complex algorithmic concepts in a simple and structured manner.
• Strong problem-solving and analytical skills.
• Ability to create and solve coding problems of varying difficulty levels.
• Good communication and classroom management skills.

Prefered Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, Mathematics, Engineering, or a related field.
• Prior teaching, training, mentoring, or academic experience in DAA/DSA.
• Experience preparing learners for technical interviews, competitive programming, or coding assessments.
• Familiarity with online teaching platforms and coding environments is an advantage.