Amazon Recruitment 2026

Amazon

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2 days ago
QualificationBachelor’s degree in Computer Science or equivalent (Preferred)

Key Responsibilities

  • Collaborate actively alongside experienced, cross-disciplinary Amazon engineers to conceive, specify, design, and launch business-critical web products.
  • Architect, build, and deploy high-performance backend software services operating across massively distributed cloud computing clusters.
  • Create optimization routines to manage large-scale statistical predictions on distributed environments with incredible throughput, low latency, and massive speed parameters.
  • Engineer distributed storage components, relational/non-relational indexes, and optimized query pipelines designed to be highly scalable, fault-tolerant, and exceptionally cost-effective.
  • Refine loosely defined structural problems or ambiguous operational needs into concrete, maintainable, and testable source code solutions.
  • Operate smoothly within an Agile/Scrum development life cycle to iteratively ship stable, production-ready software updates.

Skills & Eligibility

  • Professional Experience: Minimum of 1 year of non-internship, full-time professional experience operating within an enterprise software development environment.
  • Core Programming: Hands-on experience programming with at least one modern software language (such as Java, C++, Python, C#, or Go).
  • Strong baseline analytical capability and programmatic problem-solving workflow.
  • Education background: Formal Bachelor’s degree or higher in Computer Science, Information Technology, or an equivalent technical or quantitative discipline.
  • Familiarity with Object-Oriented Design (OOD) and structural algorithmic efficiency metrics.
  • Professional Experience: Minimum of 1 year of non-internship, full-time professional experience operating within an enterprise software development environment.
  • Core Programming: Hands-on experience programming with at least one modern software language (such as Java, C++, Python, C#, or Go).
  • Strong baseline analytical capability and programmatic problem-solving workflow.
  • Education background: Formal Bachelor’s degree or higher in Computer Science, Information Technology, or an equivalent technical or quantitative discipline.
  • Familiarity with Object-Oriented Design (OOD) and structural algorithmic efficiency metrics.
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