Posted:2 hours ago|
Platform:
Work from Office
Full Time
About the Role:
Overview :
With a team of renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.
Software Development & DSA Expertise:
Design and implement high-performance algorithms and data structures.
Provide code reviews, optimizations, and best coding practices for students and junior developers.
Deliver in-depth lectures on DSA, System Design, Competitive Programming, and Full-Stack Development.
Guide students on real-world coding challenges, projects, and hackathons.
Provide mock interviews, coding assessments, and mentorship for job placements.
Design an industry-relevant DSA & System Design curriculum aligned with tech hiring standards.
Collaborate with industry professionals for guest lectures and live projects.
Stay updated with the latest tech trends and incorporate them into training modules.
Educational Background: Bachelor s/Master s in Computer Science, Software Engineering, or related field from a Tier-1/Tier-2 institute (IITs, NITs, IIITs preferred).
5+ years of software development experience in a product-based company.
Hands-on experience in building scalable, high-performance systems.
Programming Languages: Strong in C++, Java, Python.
Data Structures & Algorithms (DSA): Advanced Data Structures and Algorithm - Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting Algorithms, Searching Algorithms, Dynamic Programming, Algorithm Analysis, Recursion,Python, Fundamentals of programming.
System Design: Experience with HLD, LLD, microservices, caching, and database scaling.
Competitive Programming: Proven track record in Leetcode, Codeforces, or ICPC participation.
3+ years of experience in teaching, training, or mentoring students/professionals in DSA & Software Engineering.
Ability to simplify complex coding concepts and engage students effectively.
Good to have :
The selection process consists of three rounds designed to assess technical expertise, teaching ability, and cultural fit:
Round 1 Technical Evaluation:
Assessment of DSA expertise, coding proficiency, and problem-solving skills.
Round 2 Topic Delivery Assessment:
Candidates will be required to deliver a mock lecture to evaluate teaching methodology, engagement, and conceptual clarity.
Round 3 General Discussion & Culture Fit:
A discussion with university and Newton School representatives to assess alignment with academic values, teamwork, and long-term career aspirations.
In the meantime, you can explore our website Newton School of Technology to learn more about Newton School of Technology and our work.
We look forward to welcoming you to our academic team and shaping the future of technology education together!
Links for your reference:
Newton School of Technology
Newton School
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