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    Software Engineering Co-op

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    Acceldata

    201-500 employeesCampbell, CaliforniaSoftware Development
    Posted 108 days agoApply by Nov 5Actively hiringPaidrollingSoftware Development
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    About the role#

    As a Software Engineering Co-op, you will work on big data projects and contribute to the Acceldata Open Data Platform. You will design, build, and scale components while learning from experienced professionals. This is a 4-month assignment based in Kitchener, Ontario.

    What you'll do#

    • Collaborate with the engineering team to write, test, and deploy software solutions using Java or Scala.
    • Participate in the full software development lifecycle, including requirement analysis, design, implementation, testing, and maintenance.
    • Identify and troubleshoot issues to ensure high-quality software delivery.
    • Participate in code reviews to maintain code quality and share knowledge with team members.
    • Stay updated with advancements in open-source projects and contribute to the community as needed.

    What you'll need#

    • Current enrollment in a Computer Science, Software Engineering, or related degree program at the University of Waterloo.
    • Strong programming skills in Java, Scala, and Python.
    • Solid understanding of data structures, algorithms, and core software development principles.
    • Hands-on experience with Kubernetes, including deploying, managing, and scaling applications.
    • Excellent problem-solving and analytical abilities.

    Location & details#

    • Location: 151 Charles Street West, Kitchener, Ontario (on-site).
    • Term: Rolling, 4-month duration.
    • Status: Full-time, paid internship.
    • Note: Sponsorship is not provided.
    Relevant fieldsComputer ScienceComputer Engineering

    About Acceldata

    Acceldata provides an Agentic Data Management platform designed to help enterprises manage data for AI initiatives. The company operates out of Campbell, California, and maintains an additional office in Bengaluru, India. Founded in 2018, it employs 307 people. Its software supports data observability, reliability, and pipeline monitoring across hybrid cloud environments.

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