Description

You will own the operational and reliability aspects of large-scale Kubernetes clusters, focusing on performance at scale, monitoring, logging, and alerting.

Responsibilities

• Design, implement, and support large-scale Kubernetes cluster operations.
• Improve the full service lifecycle from inception through refinement.
• Maintain service availability by measuring and monitoring latency and system health.
• Scale systems sustainably using automation mechanisms.
• Participate in on-call rotations to support production systems and conduct blame-free postmortems.

Required Skills

• 10+ years of professional experience.
• Experience with infrastructure automation and distributed systems design.
• Proficiency in at least one of: Python, Go, Perl, or Ruby.
• In-depth knowledge of Linux, Networking, and Containers.
• Experience developing tools for large-scale private or public cloud systems in production.
• Experience with Kubernetes, Docker, and OpenStack.
• Ability to debug and optimize code and automate routine tasks.

Key Skills

Education

Any Graduate