Design, implement and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting
Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement.
Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews.
Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
Practice sustainable incident response and blameless postmortems
Be part of an on call rotation to support production systems
Requirements
BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
10+ years of experience.
Experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production
Experience in one or more of the following: Python, Go, Perl or Ruby
In depth knowledge on Linux, Networking and Containers
Benefits
equity
benefits
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Applicant Tracking System Keywords
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Hard skills
KubernetesPythonGoPerlRubyLinuxNetworkingContainersInfrastructure automationDistributed systems design
Soft skills
system design consultingincident responseblameless postmortemsperformance at scalereal time monitoringloggingalertingcapacity managementsupport production systemsimprove reliability
Certifications
BS degree in Computer Sciencerelated technical field