Principal Software Engineer - Bogotá, Colombia - Cloud Capital

    Cloud Capital
    Cloud Capital Bogotá, Colombia

    Encontrado en: Talent CO 2A C2 - hace 2 semanas

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    Descripción
    Cloud Capital is a pioneering force at the very forefront of the cloud efficiency space.

    Having successfully secured our Pre-Seed funding, we are on an ambitious journey to revolutionize how companies manage their cloud expenditures.

    This is an opportunity to join a well-funded startup operating in a massive, fast-growing market.

    Our mission is to optimize cloud spending across the board, providing CFOs with crystal-clear visibility into cloud spending, freeing engineers from the burdens of cost commitments, and leveraging financial markets to mitigate risk for all stakeholders.

    Our unique and innovative approach ensures that our customers can achieve efficient cloud spend in harmony with cloud providers' capabilities and offerings.

    As we embark on this journey, we are bolstered by the strength of our founding team - a trio of seasoned entrepreneurs with a track record of raising significant capital, navigating startups to success, and executing strategic exits.

    This is a unique opportunity to join a company where the sky's the limit, in an industry brimming with potential and growth.

    Role Overview


    We are seeking a Principal Software Engineer that loves all things data, forecasting, algorithms, clever approaches that result in simple systems, and can solve the nytimes mini regularly in under 30 seconds.

    This role is tailor-made for an engineer that wants to build from the ground floor.
    Key Responsibilities

    Design, develop, and maintain robust data pipelines that support complex data processing and analysis at scale.
    Develop and implement forecasting algorithms to predict cloud spending trends, enabling data-driven decision-making.
    Develop and implement risk models for understanding exposure and optimizations available.
    Collaborate closely with the team to develop an incremental product, but know which foundational components need to be set.
    Champion best practices in software development, data science, and software quality.
    Qualifications


    Bachelor's or Master's degree in Computer Science, Engineering, or a related field.7+ years of software engineering experience, with a strong focus on data engineering, data science, or related fields.

    Proven track record of designing and implementing large-scale data pipelines and forecasting models.

    Experience with forecasting models (Prophet, ARIMA, etc...)Deep expertise in cloud services (AWS, Google Cloud Platform, Azure) and understanding of cloud cost management strategies.

    Strong proficiency in programming languages such as Python, Java, Typescript and familiarity with data processing frameworks and databases.
    Excellent problem-solving abilities and a passion for tackling complex challenges head-on.

    Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders and work with a technical team to problem solve collaboratively.

    Why Join Us?

    Be part of a groundbreaking startup at the cutting edge of the cloud efficiency space.
    Work alongside a founding team of seasoned entrepreneurs with a proven track record.
    Take on significant challenges and see the direct impact of your work on the industry.
    Enjoy a culture that values innovation, ownership, and the pursuit of excellence.
    Receive competitive compensation, equity options, and comprehensive benefits.
    Location

    Remote with a preference for time zones +/- 3 hours of ESTHow to Apply

    Please send your resume, a brief cover letter, and any relevant work samples or portfolios.

    We look forward to hearing from you and exploring how you can contribute to the future of cloud cost efficiency at Cloud Capital.

    Cloud Capital is committed to diversity and inclusivity, welcoming all individuals regardless of their background, identity, or personal characteristics.

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