DevOps Engineer - New Delhi, India - Revature

    Revature
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    SummaryAs a DevOps Engineer, you will contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community's most vulnerable.

    Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges.

    Here are the details on this position.

    Key Responsibilities:

    Continuous Integration and Continuous Deployment (CI/CD):
    Build via CI/CD using GitHub to develop both composite and callable workflows

    Packaging and Delivery:
    Develop multistage images (Docker or Kubernetes) and release components with npm serverless (AWS or Azure) configuration files

    Python Framework:
    Operationalize python code, ensuring code quality and maintainability. Enforcing these standards through automation with pytest, pylint, bandit, safety, radon, and memray as appropriate.


    Artifact Management:
    Manage python dependencies with poetry package manager, publish with `git+ssh`, and release with Github Releases via tags

    Analytics Support:
    Automate infrastructure, monitoring, and alerting.

    Qualifications:
    Bachelor's or Master's degree in Computer Science or a related field.
    Proficient with containerization and serverless computing.
    Experience as a DevOps Engineer supporting data science and analytics.
    Expertise in CI/CD, specifically using GitHub.
    Knowledge of design patterns, test driven development, knowing when too and more importantly when not to apply them.
    Willing to pair programming and collaborative during daily development.
    Strong problem-solving skills and the ability to work in dynamic, polly-repo teams

    Preferred Qualifications:
    Certification from Refactoring Guru CourseCompleted training on Test Driven IO Serverless FastapiKnowledge of infrastructure as code and Serverless Framework ProvidersFamiliarity of data science packages mlflow, pyspark, scikit-learn, tensorflowUnderstanding of data security and compliance standards