NVIDIA

1 day ago

Senior DevOps Engineer, AI Agent Platforms

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and operate reliable platforms for AI agents used across NVIDIA’s networking stack. Design and run infrastructure and services including MCP tools, service APIs, and cloud/on-prem systems, with strong CI/CD practices. Partner with networking architecture teams to turn high-impact AI use cases into working solutions, and create evaluation plus observability pipelines to measure agent behavior and production reliability while driving responsible AI adoption.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build AI agents that solve real engineering problems across the networking stack with reliable daily use.
•Design, build, and operate agent platforms including MCP tools, service APIs, and cloud/on-prem services.
•Work across networking architecture teams to identify high-impact AI use cases and deliver working solutions.
•Drive rapid and responsible AI adoption by establishing best practices, guardrails, and evaluation methods for agentic workflows.
•Build evaluation and observability pipelines to measure AI-agent behavior and platform reliability on production workloads.

Key Requirements

•BSc in Computer Science or related field, or equivalent experience.
•3+ years practical experience in DevOps, platform engineering, or SRE roles on large-scale software products.
•Deep hands-on experience with Linux, cloud and on-prem environments, Kubernetes, container runtimes (Docker/containerd), and infrastructure as code.
•Proven experience designing, building, and maintaining CI/CD pipelines for production services.
•Strong scripting/automation skills in Python/Bash and one compiled language (Go/Rust), plus observability/monitoring and security practices.

Experience:3+ yearsSaaS

Education:Bachelor's in Computer Science

Skills:End-to-end ownershipCommunicationAutomationResponsibilityCollaboration

Tech Stack:LinuxKubernetesDockerContainerdInfrastructure as codeCI/CDPythonBashGoRustCloudOn-premObservabilityMonitoringSecurityLLM APIsAgent frameworksMCP

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 day ago

Senior DevOps Engineer, AI Agent Platforms

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build AI agents that solve real engineering problems across the networking stack with reliable daily use.
•Design, build, and operate agent platforms including MCP tools, service APIs, and cloud/on-prem services.
•Work across networking architecture teams to identify high-impact AI use cases and deliver working solutions.
•Drive rapid and responsible AI adoption by establishing best practices, guardrails, and evaluation methods for agentic workflows.
•Build evaluation and observability pipelines to measure AI-agent behavior and platform reliability on production workloads.

Key Requirements

•BSc in Computer Science or related field, or equivalent experience.
•3+ years practical experience in DevOps, platform engineering, or SRE roles on large-scale software products.
•Deep hands-on experience with Linux, cloud and on-prem environments, Kubernetes, container runtimes (Docker/containerd), and infrastructure as code.
•Proven experience designing, building, and maintaining CI/CD pipelines for production services.
•Strong scripting/automation skills in Python/Bash and one compiled language (Go/Rust), plus observability/monitoring and security practices.

Experience:3+ yearsSaaS

Education:Bachelor's in Computer Science

Skills:End-to-end ownershipCommunicationAutomationResponsibilityCollaboration

Tech Stack:LinuxKubernetesDockerContainerdInfrastructure as codeCI/CDPythonBashGoRustCloudOn-premObservabilityMonitoringSecurityLLM APIsAgent frameworksMCP

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