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DriveNets

QA Engineer – E2E

DriveNets

. Own end-to-end test strategy and execution across the DriveNets Application Platform .

Posted 9/15/2026full-timeRaanana • IsraelSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in end-to-end test strategy and execution for cloud-native applications, with a strong focus on REST and gRPC testing, automated testing frameworks, and defect management. Proficient in leading cross-functional teams and presenting test plans and results effectively.

Highest-signal resume keywords
8+ Years In QACCNP-Level NetworkingREST And gRPC TestingPython Testing FrameworksTest-Management Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
End-To-End Test StrategyAutomated TestingDefect ManagementCloud-Native ApplicationsDistributed SystemsMicroservicesFormal Testing MethodologyLinux KnowledgeCI/CD PipelinesNetwork Protocols
Soft Skills
Presentation SkillsMatrix-LeadingInfluencing Without Authority
Tools & Technologies
DockerKubernetesPytestTestRailJiraPowerPoint
Certifications & Qualifications
CCNP CertificationBSc In Computer Science
Industry Keywords
API TestingConfiguration ManagementTest PlansRegression TestingAI Automation

Tech Stack

Tools & technologies
AirflowCloudDistributed SystemsDockerGRPCKubernetesLinuxMicroservicesPythonTerraform

About the role

Key responsibilities & impact
  • Own end-to-end test strategy and execution across the DriveNets Application Platform
  • Translate features and epics into complete E2E test plans tracing requirements and acceptance criteria to concrete tests
  • Matrix-lead developers, system architects, product, and other stakeholders around risk, coverage, and definition of done
  • Design and execute REST/gRPC API and workflow-engine tests, including dynamic task addition, orchestration, and state transitions
  • Validate provisioning flows from UI/CMS edits and configuration-template rendering through application on target network elements
  • Confirm on-device before/after configuration state
  • Build automated contract-validation, regression, and critical-path suites
  • Design negative and failure-mode tests
  • Identify, reproduce, document, and track defects with reproducible reports and logs, payloads, and on-device evidence
  • Drive defects to verified closure
  • Present test plans, risks, and results in slides and live walkthroughs
  • Direct AI agents such as Cursor, Claude, and agentic subagents to author test plans, generate and execute tests, and triage failures

Requirements

What you’ll need
  • 8+ years in QA, focused on cloud-native applications and distributed systems/microservices
  • CCNP-level networking required, including L2/L3, IP, ARP, MAC, VLAN, DHCP, and ICMP
  • CCNP certification or equivalent hands-on experience
  • Strong REST and gRPC testing knowledge
  • Proficiency with Python testing frameworks, especially pytest
  • Working knowledge of Docker and Kubernetes
  • In-depth Linux knowledge
  • Experience with CI/CD pipelines
  • Formal testing methodology and artifacts, including STP, STD, and STR
  • Hands-on experience with test-management tools such as TestRail and issue trackers such as Jira
  • Presentation skills using PowerPoint or equivalent
  • Ability to matrix-lead and influence without authority
  • BSc in Computer Science, Electrical Engineering, or related technical field, or equivalent hands-on experience
  • Nice to have: Temporal or Airflow, Terraform, Helm, and AI/agentic QA automation experience

Benefits

Comp & perks
  • Equal opportunity employer
  • Work with a cloud-native networking software company serving hyperscalers and service providers
  • AI-agentic automation exposure and innovation-focused environment