Job families in tech

The seven job families in tech and, for each, the landmark jobs and their mission: development, operations, data, security, quality, design, management.

  • 23 cards
  • 3 topics
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The outline, topic by topic

Each topic is weighted the way the exam weighs it.

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A few cards from the deck

  • IT job family: what is it?

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    A group of jobs that serve the same purpose: development, infrastructure and operations, data, security, testing and quality, design and user experience, management and consulting.

    Job titles change from one company to the next; the family tells what the post is for. A full stack developer who is on call partly steps out of their family.

  • A team wants every approved change to be tested and then deployed with no manual step. Which profile sets up that pipeline?

    • A DevOps engineer
    • A database administrator
    • An interface designer
    • A product owner
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    A DevOps engineer

    Automating build, tests and deployment is the core of DevOps. The database administrator handles data, the designer handles usability, the product owner handles priorities.

  • A DevOps engineer sets up a continuous … and … pipeline so that every change reaches production without any manual step.

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    A DevOps engineer sets up a continuous integration and deployment pipeline so that every change reaches production without any manual step.

    The first step builds and tests each change, the second puts it into production. If a human still approves the release, it is continuous delivery, not continuous deployment.

  • Software developer: what is it?

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    A professional who designs, writes, tests and evolves an application's code, whether web, mobile or desktop.

    It is the best-known job but not the only one: a developer does not look after the network or the production servers unless the post adds operations.

  • Who builds the flows that bring clean data up to the dashboards?

    • The data analyst
    • The data engineer
    • The systems administrator
    • The tester
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    The data engineer

    The data engineer writes the ingestion and transformation flows. The data analyst uses what they produce: the two are often confused.