4 days ago

Senior Software Engineer, AIOps and Observability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Design and develop NVIDIA AIOps and Observability platforms used to monitor, diagnose, and optimize products across cloud, on-prem, data centers, supply chain, and edge. Lead platform architecture for metrics, logs, traces, events, alerts, dashboards, and visualizations; set observability standards; and collaborate with engineers, product managers, partners, and data scientists to deliver scalable distributed systems and AI-native agentic debugging workflows.

Location: Santa Clara

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and deployment of AIOps and Observability platforms across metrics, logs, traces, events, alerts, dashboards, and visualizations.
•Drive the technical vision and roadmap for AIOps and Observability initiatives aligned with business goals and industry best practices.
•Collaborate with internal teams and customers to understand observability needs and deliver solutions that meet requirements.
•Establish and implement observability standards, guidelines, and processes, including evaluating and adopting new technologies and frameworks.
•Develop machine learning models and AI-native agentic observability tools for anomaly detection, forecasting, root cause analysis, automated debugging, and remediation recommendations.

Pay and Benefits

Salary: USD 200,000 - 322,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in computer science and engineering (or related) or equivalent experience.
•12+ years of product development and full stack engineering experience, with 5+ years developing and operating observability platforms (preferably cloud-native).
•Strong knowledge of observability tools including Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, and OpenTelemetry.
•Hands-on experience with AIOps tools such as BigPanda, PagerDuty, and Datadog.
•Experience with Kubernetes, Nomad, Docker, microservices, and streaming ingestion using NATS and Kafka.

Experience:12+ yearsCloud-nativeDistributed systemsObservabilityAIOpsMachine learningGenerative AI

Education:Bachelor's in computer science and engineering (or related field)

Skills:MentorshipCoachingPeer reviewCollaborationTechnical vision

Tech Stack:PrometheusVictoria MetricsVectorLokiGrafanaAlert ManagerClickhouseOpenTelemetryBigPandaPagerDutyDatadogKubernetesNomadDockerMicroservices architecturesNATSKafkaGoPythonJava

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 days ago

Senior Software Engineer, AIOps and Observability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Santa Clara

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and deployment of AIOps and Observability platforms across metrics, logs, traces, events, alerts, dashboards, and visualizations.
•Drive the technical vision and roadmap for AIOps and Observability initiatives aligned with business goals and industry best practices.
•Collaborate with internal teams and customers to understand observability needs and deliver solutions that meet requirements.
•Establish and implement observability standards, guidelines, and processes, including evaluating and adopting new technologies and frameworks.
•Develop machine learning models and AI-native agentic observability tools for anomaly detection, forecasting, root cause analysis, automated debugging, and remediation recommendations.

Pay and Benefits

Salary: USD 200,000 - 322,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in computer science and engineering (or related) or equivalent experience.
•12+ years of product development and full stack engineering experience, with 5+ years developing and operating observability platforms (preferably cloud-native).
•Strong knowledge of observability tools including Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, and OpenTelemetry.
•Hands-on experience with AIOps tools such as BigPanda, PagerDuty, and Datadog.
•Experience with Kubernetes, Nomad, Docker, microservices, and streaming ingestion using NATS and Kafka.

Experience:12+ yearsCloud-nativeDistributed systemsObservabilityAIOpsMachine learningGenerative AI

Education:Bachelor's in computer science and engineering (or related field)

Skills:MentorshipCoachingPeer reviewCollaborationTechnical vision

Tech Stack:PrometheusVictoria MetricsVectorLokiGrafanaAlert ManagerClickhouseOpenTelemetryBigPandaPagerDutyDatadogKubernetesNomadDockerMicroservices architecturesNATSKafkaGoPythonJava

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor