Senior Systems Software Engineer, Observability and Telemetry Platform

NVIDIA is seeking a Senior Systems Software Engineer to build and maintain highly reliable, large-scale production systems for its GPU cloud services. The role focuses on designing and operating observability and telemetry platforms, improving system performance and reliability, automating operations, managing capacity, and supporting production services through monitoring and incident response.

Responsibilities:

• Design, implement and support operational and reliability aspects of large scale Observability & Telemetry collection platform with a 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
• 5+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production
• 5+ years experience delivering foundational infrastructure and observability platforms
• Experience in one or more of the following: Python, Go, Perl or Ruby
• In depth knowledge on Linux, Networking and Containers
• 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
• Experience running Grafana, OpenTelemetry, Prometheus, and similar observability focused tools