Job Description

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  Basic Qualifications:
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   6+ years of technical experience with Systems Integration.
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   Thorough understanding of coding best practices, both in a structured and OOP (Object Oriented Programming) way (e.g., Python, Golang, Ruby, C/C++).
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   Proficient in programming languages for automation (e.g., python) and shell scripting (e.g., bash).
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   Strong and relevant experience in cloud technologies, cloud services, Cloud IaaS, PaaS, and SaaS offerings.
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   Strong experience with automation and CI/CD tools (e.g. Jenkins, Ansible).
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   Experience with the development of SLO's, SLI's, and SLA's
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   Strong background designing, deploying, and maintaining monitoring tools such as Splunk.
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   Experience with system data observability (the ability to collect data about programs' execution, modules' internal states, and the communication among components).
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  Primary Responsibilities:
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   Successful candidate will be a member of a cross functional team comprised of well-rounded engineers who can learn new skills rapidly and work across multiple functional domains to carry out end-to-end delivery of infrastructure services.
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   Support the full system life-cycle of Splunk across geographically dispersed enterprise datacenters.
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   Monitor system stability and performance and ensure system availability, reliability, and usability.
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   Troubleshoot complex problems, resolving operational issues, software fault diagnosis, &amp; interacting with vendors, etc.
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   Development of SLI, SLO, &amp; SLAs.
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   Performs concept exploration and assessment, systems integration, systems of systems integration, performance management, technology assessment, testing and validation.
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