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    Senior Software/Cloud Engineer - Orlando, United States - Optomi

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    Description

    Optomi, in partnership with a market leader in entertainment and media is seeking a Senior Software/Cloud Engineer for a hybrid position in their Orlando, Florida location. This candidate will be responsible for designing and implementing reliable, high-throughput, low latency, scalable and well-documented code to tackle sophisticated algorithms and build cloud infrastructure components. This role requires collaboration with engineers, data scientists, and other partners to make proposals across teams on their engineering work and practices.

    What the right candidate will enjoy:

    • Hybrid work schedule
    • Collaborating in a team environment with the capability of working independently
    • Being a technical leader for a market leading company in entertainment and media
    • Working for a company that provides innovative and memorable experiences for their customers

    Experience of the right candidate:

    • Bachelor's degree in Computer Science, MIS or equivalent.
    • 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.
    • Python/JavaScript (python as true object-oriented language, not scripting, or typescript).
    • Terraform/Cloud Formation/Snowflake.
    • Strong background in Infrastructure as Code.
    • Strong background in Snowflake at a user level.

    Responsibilities of the right candidate:

    • 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.


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