This is a fully remote position, open to applicants in California.

📋 Description

• Design, implement, and support the operational and reliability components of a large-scale Observability & Telemetry collection platform, emphasizing performance at scale, real-time monitoring, logging, and alerting.

• Engage in and enhance the complete lifecycle of services, from their inception and design through deployment, operation, and refinement.

• Assist services prior to launch through system design consulting, development of software tools, platforms, frameworks, capacity management, and launch reviews.

• Maintain active services by measuring and monitoring availability, latency, and overall system health.

• Sustainably scale systems through automation and evolve systems by initiating changes that enhance reliability and velocity.

• Employ sustainable incident response practices and conduct blameless postmortems.

• Participate in an on-call rotation to support production systems.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related technical field involving coding (such as physics or mathematics), or equivalent experience.

• Over 5 years of experience with infrastructure automation, distributed systems design, and creating tools for managing large-scale private or public cloud systems in production.

• More than 5 years of experience delivering foundational infrastructure and observability platforms.

• Proficiency in one or more of the following languages: Python, Go, Perl, or Ruby.

• Extensive knowledge of Linux, networking, and containers.

• Experience in utilizing or managing large private and public cloud systems built on Kubernetes, OpenStack, and Docker.

• Familiarity with running Grafana, OpenTelemetry, Prometheus, and other observability-centric tools.