Senior Software Engineer, AIOps and Observability - CA, Santa Clara, United States
$200,000 - $322,000 USD yearly
Originally posted 31 July 2026 by the employer.
About the role
This role involves designing and developing AIOps and Observability platforms that internal teams use to monitor, diagnose, and optimize products, assets, and services across various environments.
What you'll do
- Lead the design, development, and deployment of AIOps and Observability platforms, including metrics, logs, traces, events, alerts, dashboards, and visualizations.
- Drive the technical vision and roadmap for AIOps and Observability initiatives.
- Collaborate with other teams and customers to understand observability needs and provide solutions.
- Establish and implement observability standards, guidelines, and processes.
- Work with Data scientists to implement machine learning models for anomaly detection, forecasting, and root cause analysis.
- Develop and operate scalable, reliable, and distributed systems.
What you'll need
- Bachelor’s degree in computer science and engineering, or related field, or equivalent experience.
- 12+ years of experience in product development and full stack engineering.
- 5+ years of experience in developing and operating observability platforms and solutions, preferably in a cloud-native environment.
- Strong knowledge and experience with observability tools, such as Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, OpenTelemetry.
- Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, Datadog.
- Experience with Kubernetes, Nomad, Docker, and microservices architectures.
- Experience with streaming services to ingest billions of events using NATS, Kafka.
- Proficient in one or more programming languages, such as Go, Python, Java, C#.
- Experience with developing Observability solutions to monitor On-prem and Public Cloud environments.
- Experience with running large Observability platforms on BareMetal Infrastructure.
- Establish scalable data pipelines and instrumentation for collecting, aggregating, and visualizing telemetry and operational metrics.
Skills: AIOps, Observability platforms, machine learning models, Kubernetes, distributed systems
This role has been open 71 days — well above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
962
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (962 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 274 | 962 |
| Open roles in the wider Software, Firmware & Systems family | 973 | 6114 · 145 employers |
| Median days open | 46 d | 51 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AIOps, Observability platforms, machine learning models, Kubernetes, distributed systems
Who's hiring in this category
- NVIDIA (this employer) · 274 open roles · median 47 d
- Qualcomm · 62 open roles · median 53 d
- AMD · 54 open roles · median 19 d
- Graphcore · 44 open roles · median 93 d
- Intel Corporation · 43 open roles · median 12 d
- Cerebras · 36 open roles · median 83 d
How we counted: 962 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 18 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.