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Support Engineer with exp in Google Cloud Platform Engineering - Remote - Direct Client

Salary undisclosed

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Essential Job Functions:
Development and support of Google Cloud Platform-based KMS, including scripting automation.
Provides hands on engineering expertise for in-Google Cloud Platform SecuPi infrastructure, including Management Server and enforcers/agents.
Streamlines installation and BAU tasks via automation and process enhancements.
Provide engineering support for systems security including ssh keys and certificates renewals.
Embraces mentorship and training from senior engineers.
Provides continuous improvement ideas to reduce expenses and/or improve efficiency.
Applies recommended information security standards when installing and maintaining software and seeks to validate.
Contributes to technical documentation, specifications, and project artifacts for systems support.

Required Qualifications:
Ability to perform design, installation, performance testing, patching, trouble shooting and daily engineering support of a database activity monitoring software.
Knowledge of industry best practices for designing, implementing, and maintaining database activity monitoring tools.
Familiarity with SecuPi database activity monitoring software.
Proficient knowledge developing all forms of reporting, alerting and SIEM integration.
4+ years working in a large-scale IT organization. Ability to work within a formal Change Control system (planning, documenting, scheduling, and implementing).
Employs detailed knowledge of major database platforms such as Oracle, SQL Server, DB2/UDB, CloudSQL.
Employs detailed knowledge of major OS platforms such as Windows, Unix/Linux.
Strong knowledge of Google Cloud Platform, Helm charts, Kubernetes/distributed GKE, GitLab, CI/CD pipelines and terraforming scripts.
Experience with Ansible and/or automation tools.
Optional ? deploying and supporting HSM.
Ability to work independently, leading meetings with application and development teams discovering and documenting detailed requirements.
Ability to plan, coordinate and implement monitoring tools and agents installations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Essential Job Functions:
Development and support of Google Cloud Platform-based KMS, including scripting automation.
Provides hands on engineering expertise for in-Google Cloud Platform SecuPi infrastructure, including Management Server and enforcers/agents.
Streamlines installation and BAU tasks via automation and process enhancements.
Provide engineering support for systems security including ssh keys and certificates renewals.
Embraces mentorship and training from senior engineers.
Provides continuous improvement ideas to reduce expenses and/or improve efficiency.
Applies recommended information security standards when installing and maintaining software and seeks to validate.
Contributes to technical documentation, specifications, and project artifacts for systems support.

Required Qualifications:
Ability to perform design, installation, performance testing, patching, trouble shooting and daily engineering support of a database activity monitoring software.
Knowledge of industry best practices for designing, implementing, and maintaining database activity monitoring tools.
Familiarity with SecuPi database activity monitoring software.
Proficient knowledge developing all forms of reporting, alerting and SIEM integration.
4+ years working in a large-scale IT organization. Ability to work within a formal Change Control system (planning, documenting, scheduling, and implementing).
Employs detailed knowledge of major database platforms such as Oracle, SQL Server, DB2/UDB, CloudSQL.
Employs detailed knowledge of major OS platforms such as Windows, Unix/Linux.
Strong knowledge of Google Cloud Platform, Helm charts, Kubernetes/distributed GKE, GitLab, CI/CD pipelines and terraforming scripts.
Experience with Ansible and/or automation tools.
Optional ? deploying and supporting HSM.
Ability to work independently, leading meetings with application and development teams discovering and documenting detailed requirements.
Ability to plan, coordinate and implement monitoring tools and agents installations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job