SDE 2/3 + 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 world's most advanced technology roles.

About the Role: We are looking for an SDE 2/3 + Senior Technical Instructor – Data Structures & Algorithms (DSA) to join our Computer Science Department. This is an academic-focused technical role for professionals who bring a strong combination of DSA expertise, software engineering experience, teaching/mentoring ability, and academic depth. The ideal candidate will have an M.Tech/M.E. or PhD along with strong expertise in Data Structures, Algorithms, Problem Solving, and Core Computer Science. The role involves teaching foundational and advanced DSA concepts, conducting hands-on coding labs, mentoring students, and preparing them for competitive programming, technical interviews, and real-world engineering challenges.

Key Responsibilities:

Course Development & Delivery -

● Design and deliver engaging lectures, coding sessions, and practical labs on Data Structures, Algorithms, Problem Solving, and Algorithm Analysis.

● Teach both foundational concepts and advanced algorithmic problem-solving techniques.

● Develop structured course content, assignments, coding exercises, and assessments.

Algorithmic Foundations

● Teach algorithmic paradigms including: ○ Brute Force ○ Greedy Algorithms ○ Divide & Conquer ○ Dynamic Programming ○ Backtracking ○ Branch & Bound ○ Graph Algorithms ○ Searching, Sorting and Optimization

● Explain time and space complexity and help students develop efficient problem-solving approaches.

Lab & Problem-Solving Mentorship

● Lead coding and problem-solving labs where students implement, debug, analyse and optimise algorithms.

● Mentor students on structured thinking, debugging, optimisation, and solving problems under constraints.

● Help students prepare for technical interviews, competitive programming, and coding competitions.

Academic Excellence & Student Success

● Review assignments, coding submissions, projects, and assessments.

● Provide continuous and actionable feedback to improve student performance.

● Identify high-potential students and mentor them toward advanced problem-solving and competitive programming.

Industry & Academic Integration

● Bridge academic fundamentals with real-world software engineering practices.

● Bring relevant industry examples, engineering problems, and practical use cases into the classroom.

● Collaborate with faculty, curriculum designers, and industry mentors to continuously improve course quality.

Research & Innovation

● Encourage students to participate in competitive programming, research projects, open-source contributions and coding competitions.

● Support research-oriented problem-solving and algorithmic exploration.

● Contribute to academic initiatives, technical communities, and knowledge-sharing sessions

Stakeholder Engagement

● Collaborate with university leadership, faculty members, and industry partners.

● Participate in technical workshops, masterclasses, hackathons, coding contests, and academic events.

● Contribute to building a strong Computer Science academic and technical community.

Qualifications and Requirements:

● M.Tech / M.E. / PhD in Computer Science, Artificial Intelligence, Mathematics, Information Technology, or a closely related discipline.

● 6+ years of relevant experience across software engineering, technical teaching, competitive programming, research, or algorithm-focused problem-solving.

● Strong proficiency in at least one programming language such as C++, Java or Python.

● Strong command of: ○ Data Structures & Algorithms ○ Algorithm Design & Analysis ○ Object-Oriented Programming ○ Problem Solving ○ Core Computer Science

● Strong understanding of algorithmic paradigms and their practical applications.

● Ability to explain complex technical concepts in a clear, structured, and approachable manner.

● Comfortable teaching both conceptual theory and hands-on coding.

● Strong interest in teaching, mentoring, and student development.

Preferred Background

We are particularly interested in candidates with one or more of the following:

● M.Tech from a reputed institute/university with strong DSA/CS fundamentals.

● PhD in Computer Science / AI / Mathematics / related areas, particularly with research or publications in algorithms, theoretical CS, AI/ML, or related domains.

● Software engineering experience at SDE 2/SDE 3 or equivalent level.

● Prior experience teaching or mentoring students at universities, colleges, coding academies, bootcamps, or corporate training programs.

● Competitive programming background — ICPC, Codeforces, CodeChef, LeetCode, or similar.

● Experience designing problem sets, coding contests, technical assessments, or interview questions.

● Experience mentoring students for technical interviews or competitive programming.

● Contributions to open-source projects, technical blogs, research publications, or developer communities.

● Strong academic-industry collaboration experience.

Who Would Be a Good Fit

We are looking for professionals who can combine technical depth + academic rigour + mentorship.

Potential profiles could include:

● M.Tech + 6-10 years industry experience + strong DSA

● M.Tech + SDE 2/SDE 3 or equivalent + teaching/mentoring experience

● PhD + strong DSA / Algorithms / CS fundamentals + teaching experience

● PhD + industry experience in software engineering / AI/algorithms

● Senior software engineers who have transitioned into technical education, mentoring, or academic roles

● Academicians with strong DSA, competitive programming, or industry exposure

Why Join Newton School of Technology

● Be part of a mission-driven institution focused on bridging the gap between education and employability.

● Work with ICPC World Finalists, ex-Google professionals, ex-ISRO scientists, and IIT/IISc mentors.

● Exposure to real-world projects, open-source initiatives, and industry collaborations.

● Opportunity to shape the next generation of problem solvers and software engineers.

● Contribute to a rigorous, industry-oriented, and placement-focused Computer Science curriculum.

● Engage with a growing ecosystem of 2,000+ hiring partners..