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learncomet

DSA Instructor/Trainer

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  • Posted 23 hours ago
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Job Description

We're looking for a DSA specialist who can teach problem-solving at MAANG interview depth - focusing on patterns, trade-offs, and clarity of thought, not memorised solutions.

• Train students in Data Structures & Algorithms the way they're evaluated at top product companies (Arrays, Strings, Recursion, Trees, Graphs, Dynamic Programming, Greedy, Sliding Window, Binary Search on Answer, Complexity Analysis)

• Teach students how to think, not just how to code

(problem decomposition, constraints reasoning, edge cases, optimisation paths)

• Conduct interview-style problem walkthroughs with real-time questioning

• Run code reviews, timed assessments, and mock interviews

• Mentor students toward high-signal interview performance

• Provide TFA (Teaching Faculty Assistance) support including doubt-solving, assignment reviews, progress tracking, and student guidance sessions

• Collaborate with the academic team to improve learning outcomes and interview readiness

Compensation & Benefits

• Compensation: Best in the industary

• Intensive offline engagement focused on high-impact interview preparation and advanced DSA mentoring

• Duration: 40 days (28 working days)

• Joining: Mid-June onwards

• Travel, food, and accommodation will be provided during the engagement

• Additional performance-based incentives may be offered

Who this is for

• Engineers with 4+ years of strong DSA / interview-driven experience

• Experience interviewing at or working with top-tier product companies

• Deep understanding of time-space trade-offs and algorithmic design

• Ability to explain complex ideas with precision and structure

• Strong communication and presentation skills

• Prior mentoring, TFA, or teaching experience is a strong plus (not mandatory)

What this is not

• Not a long-term faculty role

• Not PPT-based lecturing

• Not focused on theory-only teaching - emphasis is on problem solving, interview thinking, and practical execution

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About Company

Job ID: 148675681