# Senior Software Engineer, AIOps and Observability

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/62fa4d7f-b716-4a30-bdda-8e9861aff642

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Santa Clara, CA
- Salary: 200000 – 322000 USD per year

## Summary

Design and develop AIOps and observability platforms at NVIDIA that monitor millions of assets across cloud, on-prem, and edge environments. This role suits experienced engineers who excel at large-scale system design, have deep observability expertise, and can mentor teams while driving technical vision.

_Our summary, not NVIDIA's wording._

## Skills named

Apache Kafka, C#, ClickHouse, Datadog, Docker, Generative AI, Go, Grafana, Grafana Loki, Java, Kubernetes, Machine Learning, OpenTelemetry, PagerDuty, Prometheus, Python

## Required

- Bachelor's degree in computer science, engineering, or equivalent experience
- 12+ years of product development and full stack engineering
- 5+ years developing and operating observability platforms in cloud-native environments
- Strong knowledge of observability tools like Prometheus, Victoria Metrics, Vector, Loki, Grafana, Clickhouse, OpenTelemetry
- Experience with Kubernetes, Nomad, Docker, and microservices architectures
- Experience with streaming services like NATS and Kafka
- Proficiency in Go, Python, Java, or C#
- Passion for observability and delivering high-quality internal platforms
- Experience developing observability solutions for on-prem and public cloud environments
- Experience running large observability platforms on bare metal infrastructure
- Ability to establish scalable data pipelines for telemetry collection and visualization

## Nice to have

- Deep understanding of observability solutions for large-scale on-prem infrastructure and networking
- Experience managing large-scale observability platforms with LLMs and ML models
- Built unified cloud observability platforms monitoring network, compute, power, storage, OS, security, applications, and SaaS
- Expertise using machine learning and generative AI for predictive monitoring, incident diagnosis, summarization, and correlation
- Proficiency in AI/ML systems, generative AI, or agentic AI frameworks

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--AIOps-and-Observability_JR2022104