Senior AIOps & Observability Architect

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

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms used by internal teams across cloud, on‑prem, data centers and edge. You will mentor engineers, define the observability strategy and roadmap, and collaborate with product managers to drive best practices and scalable solutions.

You will work with data scientists on ML models for anomaly detection and root‑cause analysis, building robust, secure systems; equity and benefits accompany the role.

Qualifications

• Bachelor’s degree in computer science or related field, or equivalent experience.
• 12+ years in product development and full stack engineering, with 5+ years in observability platforms.
• Strong knowledge of observability tools such as Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, OpenTelemetry, etc.
• Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, Datadog, etc.
• Experience with Kubernetes, Nomad, Docker, and microservices architectures; streaming services to ingest billions of events using NATS, Kafka, etc.
• Proficient in Go, Python, Java, C#, etc.

Responsibilities

• Lead the design, development, and deployment of AIOps observability platforms, including metrics, logs, traces, events, alerts, dashboards, and visualizations.
• Drive the technical vision and roadmap for AIOps and Observability initiatives, aligning with business goals and industry best practices.
• Collaborate with other teams and customers to understand their observability needs and provide solutions that meet their requirements and expectations.
• Establish and implement observability standards, guidelines, and processes across NVIDIA; evaluate and adopt new technologies.
• Provide peer reviews to other engineers including feedback on performance, scalability, security and correctness.
• Work with data scientists to implement ML models for anomaly detection, forecasting, and root cause analysis on logs, metrics, and events.

Skills

AIOps platforms

Observability tools

Kubernetes

Docker

Microservices

Go

Python

Java

C#

Telemetry pipelines

Education

Bachelor's degree in computer science or related field

Tools

Prometheus

VictoriaMetrics

Vector

Loki

Grafana

Alertmanager

ClickHouse

OpenTelemetry

Job description

NVIDIA is seeking a Senior Software Engineer to design and develop AIOps and Observability platforms used by internal teams across cloud, on‑prem, data centers and edge. You will mentor engineers, define the observability strategy and roadmap, and collaborate with product managers to drive best practices and scalable solutions.

You will work with data scientists on ML models for anomaly detection and root‑cause analysis, building robust, secure systems; equity and benefits accompany the role.