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  • Posted: Oct 12, 2021
    Deadline: Not specified
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    Black Swan creates better outcomes through technology, prediction and data science, transforming how brands engage with their consumers. Our products transform the way brands generate value from data, finding insights and solutions that create a competitive advantage for their business through accurate prediction of trends in consumer behaviour. We analyse...
    Read more about this company

     

    SysOps Engineer

    Essential Skills and Experience:

    • Bachelor's degree in Computer Science or equivalent

    • Completing technical audits

    • Critical thinking and problem solving

    • Documenting risks, issues, assumptions and dependencies to be proactively managed

    • Experience and understanding of various SDLC, such as; Waterfall, Agile, XP

    • Experience in Cloud infrastructure (AWS, GCS, Azure)

    • Experience in at least one scripting language, eg Python, bash, etc

    • Experience in Docker

    • Experience in CI tools (Jenkins, GitlabCI)

    • Experience in orchestration tooling like Terraform, CloudFormation

    • Identifying trends

    • Knowledge of different architecture designs; enterprise, scaled web, big data etc

    • Linux administration experience

    Beneficial:

    • Experience in configuration management tooling, e.g. Chef, Puppet, Ansible

    • Experience in infrastructure design

    • Understanding of security laws and regulations (GDPR, PCI)

    • Experience in monitoring tools, database technologies, Hahsistack

    • Experience in Kubernetes

    What makes a ‘Swan’?

    We want people who are fanatical about creating innovative solutions inspired by data. We know Black Swan’s DNA is different, it’s what helps us find new perspectives on our clients’ problems. Working in a fast-paced, energized environment, our bar is set high, and an ability to build long-lasting partnerships both internally and externally is vital.

    At its heart, "making a difference" is at our core, embedded in our values.

    • We believe in long-term partnerships through transparency and honesty

    • We believe in leaving the world in a better place than we found it

    • We believe anyone can achieve great things. We do not put people in boxes

    • We listen more than we talk

    • We think 10% crazy is just about right!

    Method of Application

    Interested and qualified? Go to Black Swan Data on boards.greenhouse.io to apply

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