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    Python Engineer - Delhi, India - Squareroot Consulting Pvt Ltd.

    Squareroot Consulting Pvt Ltd.
    Squareroot Consulting Pvt Ltd. Delhi, India

    1 day ago

    Default job background
    Description
    We are USA HQ Series B Funded Startup building B2B SAAS products. Setting up Product Management practice & looking Product Managers to join our startup journey.

    Position :
    Python Engineer (latency & System Architecture)

    Location :
    Bangalore (Remote Job Anywhere in India)

    Experience : 3 to 6 Yrs

    Education :
    B.E/B.Tech/MS/M.Tech in Computer Science

    Compensation : 25 to 35 Lpa


    As a Python Engineer with expertise in solving latency problems, you will play a crucial role in optimizing the performance and response time of our products.


    You will work closely with cross-functional teams, including software engineers, product managers, and system administrators, to identify and resolve latency issues that impact the user experience.


    Your ability to analyze complex systems, identify bottlenecks, and implement efficient solutions will be instrumental in ensuring the smooth and efficient operation of our products.


    Responsibilities:

    Responsibilities :

    Latency Analysis and Optimization :

    • Analyze system performance metrics and identify areas of latency and bottlenecks in our products.
    • Conduct indepth profiling and debugging of code to pinpoint performance bottlenecks.

    System Architecture and Design :

    • Collaborate with software engineers and architects to design and implement efficient system architecture that minimizes latency.
    • Evaluate and propose improvements to the infrastructure and software stack to optimize latency.

    Algorithmic Optimization :

    • Identify opportunities for algorithmic improvements to reduce latency and improve efficiency.
    • Implement optimizations at the algorithmic level to enhance overall system performance.

    Code Optimization and Refactoring :

    • Optimize Python code for improved execution speed, memory usage, and reduced latency.
    • Refactor existing codebase to enhance performance, scalability, and maintainability.

    Performance Testing and Benchmarking :

    • Design and execute performance tests to measure and compare latency improvements.
    • Establish benchmarks and monitor system performance over time to ensure continued optimization.

    Cloud and Distributed Systems :

    • Design and implement system architectures leveraging cloud platforms, particularly AWS, for scalability and performance optimization.
    • Develop and deploy microservicesbased architectures to enable distributed systems and enhance performance.

    Collaboration and Documentation :

    • Collaborate effectively with crossfunctional teams to implement latency optimizations.
    • Document performance improvements, code changes, system architectures, and best practices.

    Requirements :

    • At least 3 years of industry experience as a Python Engineer, with a focus on solving latency problems in a product company.
    • Strong proficiency in Python programming language and a deep understanding of its performance characteristics.
    • Solid experience with performance profiling and debugging tools.
    • Expertise in analyzing and optimizing system performance and latency issues.
    • Knowledge of algorithms, data structures, and algorithmic complexity.
    • Familiarity with distributed systems, microservices architecture, and cloud technologies, especially AWS.
    • Experience with performance testing and benchmarking tools.
    )
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