Senior Software Engineer, Agentic AI and Observability
NVIDIA AI
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Benefits offered by this job
Job summary
NVIDIA AI in Santa Clara, CA, seeks a senior software engineer to build observability for agentic AI applications in production. You will collaborate with AI teams to define SLOs/SLIs and lead incident response and reliability improvements for BizApps AI services.
Proficiency in Python, Kubernetes, Docker, Datadog, OpenTelemetry, Grafana, Prometheus, and CI/CD is required. Experience with LangChain, LlamaIndex, Semantic Kernel, Terraform, Pulumi, and GitOps is a plus.
Qualifications
- BS or MS in Computer Science or related field with 8+ years of software engineering experience.
- Hands-on experience with container orchestration and observability platforms.
- Experience in production-grade reliability and incident response.
Responsibilities
- Build and implement observability solutions, including metrics and tracing for agentic AI in production.
- Partner with AI teams to define SLOs/SLIs and drive reliability improvements for BizApps AI services.
- Improve incident response and overall system reliability.
Skills
Education
Tools
Job description
Build and implement observability solutions, including metrics and tracing, for agentic AI applications in production. Partner with AI teams to define SLOs/SLIs and drive incident response and reliability improvements for BizApps AI services.
Requirements: Requires a BS or MS in Computer Science or a related field with over 8 years of software engineering experience in Python and modern CI/CD practices. Must have hands-on experience with container orchestration and observability platforms like Datadog or Prometheus.
Key Skills: Python, Kubernetes, Docker, Datadog, OpenTelemetry, Grafana, Prometheus, CI/CD, LangChain, LlamaIndex, Semantic Kernel, Terraform, Pulumi, GitOps, SRE, Distributed Systems
Benefits: Equity, Benefits
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