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Full Stack Engineer

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Onsite

Full Stack Engineer

Quarks Technosoft

Full Stack Engineer

Skills

Google Cloud PlatformLookerData EngineeringDockerReactPythonMicroservicesSnowflakeData AnalysisAIAWSNo-code AutomationsFastAPIJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


">Full Stack Engineer

3-5 Years Hyderabad

  • Python

  • AI

  • React/Python

  • Microservices

  • JD

    Responsibilities

    Design, develop, and maintain full-stack applications using modern frontend and backend technologies.
    Build scalable APIs and services on top of Snowflake, BigQuery, LookML, and other enterprise data platforms.
    Develop end-to-end Generative AI solutions, including copilots, assistants, semantic search, summarization, and workflow automation.
    Integrate LLMs and AI services into business applications using enterprise data sources.
    Collaborate with Product, Data Engineering, Analytics, and AI teams to design and deliver business solutions.
    Design scalable, secure, and maintainable application architectures.
    Optimize application performance, reliability, scalability, and user experience.
    Create technical documentation and contribute to engineering best practices and coding standards.
    Required Qualifications

    Bachelors degree in Computer Science, Engineering, or a related field.
    3-5 years of experience in Full Stack Software Development.
    Experience developing and deploying microservices-based applications.
    Strong programming skills in Python, JavaScript, and modern web frameworks.
    Experience building frontend applications using React or similar frameworks.
    Experience developing RESTful APIs and backend services using FastAPI or similar frameworks.
    Hands-on experience with Snowflake, BigQuery, Looker/LookML, or similar analytics platforms.
    Experience building or integrating Generative AI applications using LLMs and AI APIs.
    Strong understanding of system design, scalability, performance optimization, and software engineering best practices.
    Experience working with cloud platforms such as GCP or AWS.
    Familiarity with CI/CD pipelines, Git, Docker, and Agile development methodologies.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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