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:

• A minimum of 3 years of hands-on experience in setup, administration and maintenance of multiple large (100+ nodes) Kubernetes clusters on-prem and Cloud Service Providers like AWS, Azure, GCP, OCI.
• Strong coding experience in one or more of the following languages: Go, Python, Perl, Java, C, C++, Ruby.
• Hands-on system administration experience of at least 2 years on large scale UNIX production environments, with validated debugging and troubleshooting skills.
• Ability to maintain platform SLAs through accurate resolutions.
• Outstanding teammate who can collaborate and influence in a multifaceted environment.
• Demonstrable experience in handling algorithms, data structures, complexity analysis and software design.
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics).

Ways to stand out of a crowd:

• Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker.
• Demonstrated ability to automate routine tasks, debug and optimize existing code.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Hands-on experience on network and storage administration.
• Unit testing and benchmarking are an integral part of your code.
• Ability to reason and choose the best possible algorithm to meet scaling and availability challenges.
• Ability to decompose complex requirements into simple tasks and reuse available solutions to implement most of those.