Senior .Net Core Full Stack Engineer - .Net - India

Photon Research Associates, Inc

  • India, TN
  • 30+ days ago

    Highlights

    Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria. Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles.

    Numbers & Facts

    LocationIndia, TN

    Description

    DotNet Core 6+

    Test-driven development(TDD)

    RDBMS (preferably PostGreSQL)

    API micro-services development

    Experience in web GUI development using HTML, CSS, React\Angular, Bootstrap

    Responsibilities

    Clear understanding of Software Development life cycle(SDLC) and software craftmanship oriented

    Strong hands-on expertise in C# programming with object-oriented design

    Strong .Net Core fundamentals, multi-threading concepts

    Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria.

    Complete the assigned learning path. Take part in team ceremonies be it agile practices or chapter meetings.

    Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles.

    Actively, work with other development teams to define and implement API's and rules for data access.

    Ensure customers, stakeholders and partners are rightly communicated on time.

    Provide suggestions for automating the repetitive and regular production activities.

    Nice to Have/Optional

    Ability to perform level 2/level 3 production support

    Assess production improvement areas such as recurrent issues.

    Perform daily checks and maintain required standards and production processes.

    Experience with performance bottleneck identification and optimization

    Assist in developing guidelines and ensuring that team practices them.

    Expertise with any messaging queues such as RabbitMQ or IBM MQ or Apache Kafka

    Assist in developing guidelines and ensuring that team practices them.

    Increase coverage of data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata (reuse and extend

    Perform bug-free release validations and produce metrices, tests and defect reports.

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