Amazon Off Campus Drive 2026 – Software Dev Engineer I

Amazon

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4 weeks ago

Key Responsibilities

  • As a Software Dev Engineer I at Amazon, you’ll:
  • Collaborate with cross-disciplinary teams to innovate and deliver new products and services.
  • Design, build, and maintain scalable, fault-tolerant systems in large distributed environments.
  • Develop solutions that require prediction and complex computing at incredible scale and speed.
  • Create distributed storage, indexing, and query systems that are cost-effective and easy to manage.
  • Take ownership of problems, analyze them, and build robust coding solutions.
  • Participate in agile teams to deliver top-quality software products.

Skills & Eligibility

  • Amazon Off Campus Drive 2026 is an incredible opportunity for freshers and experienced graduates looking to join one of the world’s top technology giants. Amazon is hiring for the Software Dev Engineer I role across multiple locations. If you are passionate about technology and want to launch your career with a global brand, this drive is tailored for you. Here’s the complete guide on eligibility, skills required, job responsibilities, and the application process for Amazon Off Campus Drive 2026.
  • To apply for Software Development Engineer positions, here’s what you need:
  • Educational Qualification for Amazon Off Campus Drive 2026:
  • Bachelor’s degree or higher in Computer Science, Computer Engineering, or related fields.
  • Open to all eligible streams: B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc.
  • Required Skills:
  • Strong knowledge of Computer Science fundamentals: Object-oriented design Data structures Algorithm design Problem-solving & complexity analysis
  • Object-oriented design
  • Data structures
  • Algorithm design
  • Problem-solving & complexity analysis
  • Proficiency in programming languages: C/C++, Python, Java, or Perl
  • Preferred Qualifications:
  • Previous technical internship(s)
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases
  • Exposure to optimization, linear programming, and nonlinear optimization
  • Strong communication and analytical skills
  • Aptitude for handling undefined problems and abstract thinking
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