Amazon Freshers Recruitment As SDE For B.S/M.S/B.E/B.Tech/M.E/M.Tech

About the Company:, Inc., is an American multinational technology company based in Seattle, Washington, that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Four technology companies along with Google, Apple, and Facebook 

Job Profile: SDE, Amazon Business

Job ID: 741888

Work Location: Hyderabad, India

Job Family: Software Development

Exp Needed: 0-2 Yrs

Degree Needed: B.S/M.S/B.E/B.Tech/M.E/M.Tech


  • As an SDE on the team, you will develop design patterns, APIs, and highly scalable services that make the B2B use cases intelligent.
  • You will build and leverage customer profile, user and organization attributes and their relationships, to offer personalized and differentiated experiences to AB customers.
  • You will have to work across the AB domain and diverse set of teams and enable them to leverage customer profiles.
  • You will have an opportunity to learn from seasoned engineers and learn/practice cutting edge technologies.
  • We are looking for passionate engineers who are hungry for impactful work and willingness to experiment and learn.


  • BS in Computer Science, or equivalent background in data structures, algorithms, object-oriented design and systems architecture.
  •  0-2+ years professional experience building and operating scalable distributed systems across the full software life cycle including design, implementation, testing, operations, and maintenance.
  • Fluency in one or more modern programming languages such as Java, C# or C++.
  •  Experience across front-end user interfaces, business logic, and data tiers.
  •  Experience serving as technical lead, including mentorship of more junior software developers.


  • Good problem solving skills
  • Good understanding of CS
  • some experience or strong interest in the following topics:
  • designing internet-scale public APIs.
  • building solutions for enterprises, context-awareness, pervasive computing, and/or application of machine learning
  • working with modern tools for big data storage and analysis (e.g., AWS, Apache Spark, Hadoop, SQL, NoSQL
  • Foundational machine learning models and concepts: regression, random forest, boosting, GBM, NNs, HMMs, CRFs, MRFs, deep learning.

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