NVIDIA

Senior QA Automation Engineer – Network AI Platform

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇦 Ukraine

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Job Level

Senior

Tech Stack

CloudDockerITSMJenkinsKubernetesLinuxPythonSeleniumSubversionSwitchingVMware

About the role

  • Simulate and test full-scale network architectures with AI/ML correlation engines using multiple network operating systems via WebUI, REST APIs, CLI, and shell interfaces.
  • Ensure network topology discovery and anomaly detection configurations match real-world multi-vendor physical setups.
  • Test real-time syslog processing, NLP-based pattern recognition, and predictive analytics across complex network topologies.
  • Review architectural designs and requirements for new features including machine learning algorithms and correlation engines.
  • Design and implement end-to-end tests for new features, including GA and maintenance releases.
  • Validate integration with multi-cloud environments and IT Service Management (ITSM) tools.
  • Report and document bugs, assist in reproducing and debugging issues, verify R&D bug fixes, and raise unresolved issues.
  • Perform various system tests (regression, performance, functional, security, etc.).
  • Design, implement, and maintain automated tests and framework APIs in Python.

Requirements

  • Practical/BA or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • 8+ years of hands-on experience in QA and/or Networking.
  • 2+ years of experience testing network monitoring, AIOps, or enterprise networking solutions.
  • Solid networking knowledge and hands-on experience with switching and routing.
  • Strong automation/scripting skills in Python and Linux Bash.
  • Proficiency in Python OOP and experience writing automation for WebUI using Selenium/Playwright.
  • Experience with API testing tools and methodologies (REST, JSON, HTTP).
  • Ability to handle multiple tasks, prioritize effectively, and completing duties with minimal supervision.
  • Dedicated, able to take ownership of tasks in a fast-paced AI development environment.
  • Confident and effective verbal and written communication skills in English for collaboration with global teams.
  • Strong CCNA and/or ISTQB, or similar certifications demonstrating networking and testing expertise.
  • Sophisticated experience with Python automation and source control tools (Git/SVN) for enterprise-scale projects.
  • Experience with CI/CD tools (Jenkins, GitLab).
  • In-depth Linux and Linux kernel knowledge (LPIC-2 level).
  • Experience with virtualization and containerization environments (Linux KVM, VMware, ESXi, Docker, Kubernetes).
Benefits
  • NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
network architecturesAI/ML correlation enginesnetwork operating systemssyslog processingNLP-based pattern recognitionpredictive analyticsautomated testsPythonAPI testingLinux Bash
Soft skills
task prioritizationownershipcommunication skillscollaborationdedicationproblem-solvingattention to detailadaptabilityindependencetime management
Certifications
CCNAISTQBLPIC-2
Київстар

QA Automation Engineer

Київстар
Junior · Midfull-time🇺🇦 Ukraine
Posted: 1 day agoSource: jobs.lever.co
JavaJavaScriptJMeterSeleniumSOAPSQL