Full Time Instructor – DSA (Bengaluru)

Full Time Instructor – DSA (Bengaluru)

05 Nov
|
Scaler
|
Bengaluru

05 Nov

Scaler

Bengaluru

Job Title: Full Time Instructor – DSA

Location:
Electronic City, Bangalore Reporting to: Dean of Academics Work Mode: On-Site About Scaler School of Technology School of Technology (SST) is a 4-year, full time residential undergraduate program in Computer Science & AI. With a sub-4% acceptance rate, SST is building India’s Ivy League for tech
- where elite engineering meets real-world outcomes, mentorship, and hands-on experience. In just its second year, over 21,000+ students applied for only a few hundred seats, with many leaving offers from NITs and BITS to join SST. The campus today is home to a handpicked cohort of students who are not only academically outstanding but also driven to build startups, publish research, and compete in global contests. The environment is intentionally designed to mirror the world’s best technical universities
- selective intake, high-caliber peer group, and access to industry leaders. Please watch this video to learn more: link

About the Role
We are looking for a Core Computer Science Instructor with strong expertise in Data Structures & Algorithms (DSA). DSA is the mandatory requirement for this role. Candidates with additional expertise in Operating Systems, Concurrency, DBMS, SQL, or other Core CS subjects will be preferred. This is a full-time teaching role focused on delivering rigorous, application-oriented learning to a high-performing cohort of undergraduate students. What You Will Do / Responsibilities Teaching & Delivery
• Deliver engaging, rigorous sessions primarily on Data Structures & Algorithms.
• Conduct lectures, coding walkthroughs,



problem-solving sessions, and labs.
• Support students through assignments, projects, and technical doubts. Curriculum & Assessments
• Design and refine lectures, assignments, labs, and projects.
• Evaluate student submissions, exams, and projects.
• Contribute to maintaining strong academic rigor and learning outcomes. Student Engagement
• Mentor students on problem-solving and programming.
• Conduct doubt-solving and mentorship sessions.
• Help students build strong Computer Science fundamentals. Academic Collaboration
• Work with the Program Owner and Academic team on course delivery and learning outcomes.
• Continuously improve course content based on student feedback and outcomes. Required Qualifications Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field from a reputed institution. Mandatory Requirement
• Strong expertise in Data Structures & Algorithms (DSA).
• Strong problem-solving and coding skills.
• Ability to explain DSA concepts clearly, including algorithmic intuition, complexity analysis, and implementation. Good to Have Exposure to one or more of the following is preferred but not mandatory:




• Operating Systems
• Concurrency and Multithreading
• Database Management Systems
• SQL and Relational Databases
• Data Modeling
• Backend Engineering
• System Design Experience
• 3–8 years of relevant industry or teaching experience in software engineering, competitive programming, computer science education, or related domains.
• Prior teaching, training, mentoring, or technical content delivery experience is preferred. Application Process Shortlisted candidates will undergo:
• Technical Round: Assessment of DSA, problem-solving ability, coding fundamentals, and relevant systems knowledge.
• Knowledge Round: Deep dive into DSA and other Core CS concepts based on the candidate's expertise.
• Teaching Round: Live demo lecture on a DSA topic to evaluate conceptual clarity, technical depth, and teaching ability. We aim to complete the entire process within 2 weeks. Why Scaler Empowering Role: Shape how India’s brightest students learn AI — building engineers who will define the next decade of technology. Inspiring Team: Work alongside leaders from Google, McKinsey, Meta, and Sequoia-backed startups — people who’ve built category-defining companies. Culture of Meritocracy: High ownership, rapid growth, and meaningful impact — where performance, not hierarchy, drives opportunities. Strategic Importance: AI is central to SST’s long-term vision. This role directly influences academic excellence, research depth, and industry readiness.

📌 Full Time Instructor – DSA (Bengaluru)
🏢 Scaler
📍 Bengaluru

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