Senior Observability Platform Engineer - Scale Reliability

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Systems Software Engineer to design, build and maintain a large-scale Observability and Telemetry platform. The role combines software and systems engineering to ensure high reliability, uptime and fuel developer productivity through automation and performance tuning.

You will work on end-to-end service lifecycles, from design to deployment, and contribute to capacity planning, monitoring and incident response in a diverse, collaborative environment that values bold

Qualifications

• BS degree in Computer Science or a related technical field
• 5+ years of experience with infrastructure automation and distributed systems design
• 5+ years delivering foundational infrastructure and observability platforms
• Experience in Python, Go, Perl or Ruby
• In-depth knowledge of Linux, Networking and Containers

Responsibilities

• Design, implement and support operational and reliability aspects of large-scale Observability & Telemetry platform
• Engage in and improve the full lifecycle of services from inception to deployment
• Support services before go-live via system design consulting and capacity management
• Maintain services post-launch by monitoring availability and latency
• Scale systems through automation and reliability improvements
• Conduct blameless postmortems and on-call rotations

Skills

Infrastructure automation

Distributed systems

Python

Go

Linux

Networking

Containers

Education

BS in Computer Science or related field

Tools

Kubernetes

OpenStack

Docker

Grafana

OpenTelemetry

Prometheus

Job description

NVIDIA is seeking a Senior Systems Software Engineer to design, build and maintain a large-scale Observability and Telemetry platform. The role combines software and systems engineering to ensure high reliability, uptime and fuel developer productivity through automation and performance tuning.

You will work on end-to-end service lifecycles, from design to deployment, and contribute to capacity planning, monitoring and incident response in a diverse, collaborative environment that values bold