Senior AIOps & Observability Platform Engineer

NVIDIA AI; 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 highly skilled Senior Software Engineer to design and develop AIOps and Observability platforms. You will mentor engineers and collaborate with product managers to define strategy and roadmaps for monitoring millions of assets across cloud, on-prem and edge environments.

You will work with data scientists on ML models for anomaly detection and root cause analysis, and help build scalable, distributed systems with an emphasis on data quality, security and compliance.

Qualifications

• 12+ years in product development and full stack engineering with 5+ years in observability platforms.
• Bachelor’s degree in CS/engineering or equivalent experience.
• Experience with Prometheus, Victoria Metrics, Grafana, OpenTelemetry, etc.
• Hands-on with AIOps tools like BigPanda, PagerDuty, Datadog.
• Experience with Kubernetes, Docker, microservices, and streaming with Kafka/NATS.
• Proficient in Go, Python, Java, or C#.

Responsibilities

• Lead design, development, and deployment of AIOps and Observability platforms.
• Define technical vision and roadmap for observability initiatives.
• Collaborate with teams to meet observability needs.
• Set standards and evaluate new observability technologies.
• Provide peer reviews on performance, scalability, security, and correctness.
• Develop AI agents and AI-native tools for faster issue resolution.

Skills

Observability platforms

Kubernetes

Go

Python

Distributed systems

Cloud-native

Prometheus

Education

Bachelor's degree in CS/Engineering

Tools

Prometheus

Victoria Metrics

Grafana

OpenTelemetry

Kafka

NATS

Docker

Job description

NVIDIA is seeking a highly skilled Senior Software Engineer to design and develop AIOps and Observability platforms. You will mentor engineers and collaborate with product managers to define strategy and roadmaps for monitoring millions of assets across cloud, on-prem and edge environments.

You will work with data scientists on ML models for anomaly detection and root cause analysis, and help build scalable, distributed systems with an emphasis on data quality, security and compliance.