What you will be doing
Design, implement and support large scale Kubernetes clusters with 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 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.
What we need to see :
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
Experience with algorithms, data structures, complexity analysis and software design.
Experience in one or more of the following : C, C++, Java, Python, Go, Perl or Ruby.
Ways to stand out of a crowd :
Interest in crafting, analyzing and fixing large-scale distributed systems.
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Ability to debug and optimize code and automate routine tasks.
Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker.