Senior AIOps & Observability Engineer — Equity Eligible

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior Software Engineer to design and develop AIOps & Observability platforms used across cloud and on-prem environments, tracking millions of assets and services. You will mentor engineers, define strategy, and drive adoption of best practices for monitoring, tracing, and analytics.

The role requires deep expertise in distributed systems, ML-informed diagnostics, and scalable data pipelines, with knowledge of Prometheus, Grafana, and OpenTelemetry.

Qualifications

• Bachelor's degree in computer science or related field is required.
• 12+ years of product development and full stack engineering experience.
• Strong knowledge of observability tools and platforms.

Responsibilities

• Lead design, development, and deployment of AIOps & Observability platforms including metrics, logs, traces, and dashboards.
• Drive the technical vision and roadmap for observability initiatives aligned with business goals.
• Collaborate with teams to understand observability needs and deliver tailored solutions.
• Establish and implement observability standards and processes across NVIDIA.
• Provide peer reviews focusing on performance, scalability, and security.
• Work with data scientists to implement ML models for anomaly detection and forecasting on logs and metrics.

Skills

Go

Python

Java

C#

Observability

ML basics

Communication

Education

Bachelor's degree in computer science or related field

Tools

Prometheus

Victoria Metrics

Vector

Loki

Grafana

OpenTelemetry

Kafka

NATS

Docker

Kubernetes

Nomad

ClickHouse

PagerDuty

Datadog

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior Software Engineer to design and develop AIOps & Observability platforms used across cloud and on-prem environments, tracking millions of assets and services. You will mentor engineers, define strategy, and drive adoption of best practices for monitoring, tracing, and analytics.

The role requires deep expertise in distributed systems, ML-informed diagnostics, and scalable data pipelines, with knowledge of Prometheus, Grafana, and OpenTelemetry.