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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