Senior AIOps & Observability Platform Architect

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms used across cloud, on-prem, and data centers. You will lead the architecture, implement metrics, logs, traces, and dashboards, and guide teams on observability best practices.

Expect to mentor engineers and collaborate with data scientists on ML-driven anomaly detection. You will drive the technical vision, align with business goals, and build scalable, secure, and reliable systems capable of

Qualifications

• Bachelor's degree in computer science and engineering or related field.
• 12+ years in product development and full-stack engineering with 5+ years in observability platforms.
• Strong knowledge of Prometheus, Victoria Metrics, Grafana, OpenTelemetry, and related tooling.
• Hands-on experience with Kubernetes, Docker, and microservices architectures.
• Experience with streaming systems handling large-scale events.

Responsibilities

• Lead design, development, and deployment of AIOps and Observability platforms.
• Define roadmap and standards for observability across NVIDIA.
• Collaborate with teams to address observability needs and ensure scalable solutions.
• Provide peer reviews focusing on performance, security, and reliability.
• Work with data scientists on ML models for anomaly detection and root-cause analysis.

Skills

Go

Python

Java

C#

Mentoring

Education

Bachelor's degree in CS/Engineering

Tools

Prometheus

Victoria Metrics

Vector

Loki

Grafana

OpenTelemetry

Clickhouse

PagerDuty

Datadog

Kubernetes

Docker

Kafka

Job description

NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms used across cloud, on-prem, and data centers. You will lead the architecture, implement metrics, logs, traces, and dashboards, and guide teams on observability best practices.

Expect to mentor engineers and collaborate with data scientists on ML-driven anomaly detection. You will drive the technical vision, align with business goals, and build scalable, secure, and reliable systems capable of