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    Senior Software Engineer - Los Angeles, United States - Apar Technologies

    Apar Technologies
    Apar Technologies Los Angeles, United States

    4 weeks ago

    Default job background
    Technology / Internet
    Description

    Job Title - Sr. Software Engineer/Cloud Engineer

    Location: LA, Seattle, NY, Glendale, Orlando

    Onsite

    Salary - $135K

    Job Duties:

    Design and implement reliable, high-throughput, low latency, scalable and well-documented code to tackle sophisticated algorithms and build cloud infrastructures components.

    Collaborate with engineers, data scientists, and other partners to make proposals across teams on their engineering work and practices.

    Design low-level implementation details of software, which data structures, class/function/code organization, etc.

    Propose technical implementation approaches which support architectural changes that address scaling and performance problems

    Proactively seek opportunities to reuse or generalize existing services and implementations

    Know the latest new technologies and best approaches in the field of data management and software engineering

    Provide technical mentorship and guidance to other members of the team

    Conduct code review pull-requests with consistent scrutiny

    Basic Qualifications:

    DevOps Experience

    Python , TypeScript

    AWS

    5+ years of software development experience across diverse domains, with demonstrated ability in data management and distributed systems solving problems

    Expert level coder, able to develop solutions that solves sophisticated problems, while keeping in mind code space and time complexity

    Strong experience in software development and DevOps practices, e.g. : CI/CD, docker, testing, and automation

    Experience with Terraform and Snowflake

    Preferred Qualifications

    Proficiency in at least one strongly typed language

    Understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.)



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