SDE 2/3 + Lead Instructor (DSA)

About Newton:

Newton School of Technology (NST) is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a 4-year B.Tech in Computer Science and AI, focused on hands-on learning and deep industry integration. Within two years, over 93% of students have secured paid internships with companies like Razorpay, SarvamAI, and

DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Led by a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO, Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building a scalable, high-impact model that produces industry-ready talent for the worlds most advanced technology roles.

Role Description :

We're hiring SDE 2/3 + Instructor DSA for our Computer Science Department. What if your day job meant living and breathing Data Structures & Algorithms?

Breaking down DP, graphs, and complexity becomes part of your everyday work, not just interview prep. You get to help others truly understand problem-solving while building a community of learners who are just as driven to improve, compete, and think better every day.

You're not just solving problems, you're shaping how others approach them, guiding students to think clearly, optimize better, and build strong fundamentals. Every session becomes an opportunity to simplify complex ideas and make problem-solving more intuitive.

Over time, you're not just teaching DSA, you're helping create confident, industry-ready engineers.

In short you wouldn't just be an instructor you'll be a builder, mentor, and driver of real-world impact.

What You'll Do :

• Course Development & Delivery: Design and teach engaging lectures and practical sessions covering Algorithm Design, Time & Space Complexity, Data Structures, and Advanced Algorithmic Techniques.
• Lab Management: Lead problem-solving and coding labs where students implement and analyze algorithms through hands-on exercises.
• Technical Mentorship: Guide students in developing strong problem-solving skills, preparing for technical interviews, competitive programming, and research-oriented algorithmic challenges.
• Cross-Functional Collaboration: Work with faculty, industry mentors, and curriculum designers to keep algorithm courses rigorous, relevant, and forward-looking.
• Academic Excellence & Student Success: Provide structured feedback, review assignments and projects, and support student growth through continuous assessments and mentorship.
• Stakeholder Engagement: Collaborate with university leadership and industry partners to drive innovation in algorithm education and curriculum design.
• Research & Innovation: Encourage students to explore algorithmic research, competitive programming, open-source contributions, and participation in coding competitions.

What Were Looking For

• 6+ years of experience in software engineering, competitive programming, teaching, or research with a strong focus on Data Structures and Algorithms.
• Strong proficiency in one or more languages such as C++, Java, Python.
• Deep understanding of algorithm paradigms, including Greedy, Divide & Conquer, Dynamic Programming, Backtracking, Graph Algorithms, and Advanced Data Structures.
• Solid foundation in time and space complexity analysis, optimization techniques, and problem-solving strategies.
• Ability to explain complex algorithmic concepts in a clear, structured, and approachable manner.
• Comfortable teaching both theoretical foundations and hands-on implementation.