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    Full Stack Engineer - Mumbai, India - Synopsys Inc

    Synopsys Inc
    Synopsys Inc Mumbai, India

    Found in: Talent IN 2A C2 - 3 days ago

    Default job background
    Technology / Internet
    Description

    We're looking for a highly motivated and innovative candidate to join the team. In this role, you would be responsible for designing, developing, debugging web-based applications for our Smart Fab Yield Management Solutions.

    Responsibilities include but not limited to the following:

    Develop Web client applications for large scale deployment within Synopsys Yield Management products.

    Perform software engineering tasks, such as build and release, workflow automation, and software integration.

    Excellent communication and presentations skills are mandatory. Listening, understanding, and interpreting the customer requirements are a key part of the communications skill set. Good technical problem-solving skills are a must.

    Key Qualification

    • Should have BE/B. Tech or ME/M. Tech in Computer Science or equivalent field.
    • Minimum 5 Years of proven working experience in API development using spring boot.
    • Experience working with containers and micro services.
    • API testing using postman or any other such tool.
    • Experience working with NoSQL backend.
    • Good knowledge of relational database systems, Object Oriented Programming and web application development
    • Should possess good JAVA skills.
    • Should possess good knowledge Angular 14 / JavaScript / HTML / CSS.

    Preferred Experience

    • Experience in component like Ag-grid, High Chart, createjs will be preferred.
    • Strong experience in building and maintaining reusable web components library.
    • Strong understanding of how web applications work including security, session management, and best development practices
    • Aggressive problem diagnosis and creative problem-solving skills
    • Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques.
    • Nice to understand Artificial Intelligence, Machine Learning and Deep Learning Frameworks.
    • Good interpersonal communication skills.
    • Follow standard and sound engineering practices.
    • Produce high-quality results whether working collaboratively or independently.

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