Amazon Software Development Engineer Amazon 

India, Karnataka, Bengaluru 

300071398

Key job responsibilities
As a member of the team, in this role, you will- Work with Sr.SDEs and Principal Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data.
- Develop systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships
- Build scalable interface to process external data requests and fulfil them in an automated way.- Design and develop solutions for efficient storage and vending/search of products and related information.
- Utilize serverless and big data technologies to develop efficient algorithms that operate of large datasets.
- Lead and mentor junior engineers, and drive best practices around design, coding, testability, and security.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's Degree in Computer Science, advanced degrees preferred.
- Experience building complex software systems that have been successfully delivered to customer.
- Deep technical expertise and hands-on architectural understanding of distributed and service-oriented architectures.
- Has delivered large-scale enterprise software systems or large scale online services.
- Solid programming skills in OO languages (Java/Scala/C++/Python etc) and a deep understanding of object oriented design.
- Advanced knowledge of data structures and at ease in optimizing algorithms.

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- A deep understanding of software development life cycle and a good track record of shipping software on time
- Experience in data mining, machine learning algorithms, rules engines, and workflow systems.
- Deep understanding of SOA with proven ability in building highly scalable and fault tolerant systems using Cloud computing technologies.
- Deep understanding of Map Reduce paradigm with experience in building solutions using Big Data technologies like Spark, Hive etc .
- Experience in developing efficient algorithms that operate on large datasets.
- Exposure to AWS technologies is a big plus.