עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Key Responsibilities:
Design, develop, and maintain GenAI-powered automation frameworks that span all testing layers: (unit, component, integration, end-to-end) and diffrent testing types (Functional / None functional).
Leverage AI models to automatically generate, optimize, and maintain test cases, scripts, and data for mobile (iOS/Android) and backend (Node.js) platforms.
Integrate GenAI-driven features such as:
Self-healing tests.
Autonomous test scenario generation.
Visual testing and validation.
Natural language-to-test scripting.
Intelligent defect prediction and anomaly detection.
Automated root cause analysis.
Build real-time dashboards into CI/CD pipelines (e.g., Jenkins, GitHub), providing actionable, data-driven quality insights.
Continuously research, prototype, and deploy the latest GenAI advances to maintain technological leadership in automation.
Govern & mentor GenAI-powered automation frameworks practices as the automation frameworks evolve.
Requirements:
Bachelors/Masters in Computer Science (or equivalent).
5+ years of experience as an automation Architect in large-scale, complex environments.
Demonstrable track record of impact, such as:
Architected and scaled at least two automation platforms/framework with measurable improvements (e.g., flaky test rate, coverage, MTTR).
Shipped GenAI-assisted or AI-driven test automation to production CI/CD (not just prototypes).
Mandatory practical experience with AI-Driven Test Automation Tools: Testim, Applitools, Mabl, Functionize, Diffblue, ReTest, Test.AI, Tricentis Tosca, Sauce Labs AutonomIQ.
Proven experience with GenAI patterns (prompt engineering, embeddings, RAG) and integrating AI/ML solutions into infrastructure.
Experience with Agentic AI concepts and tools, including hands-on work with autonomous agent frameworks (e.g., LangChain, AutoGen), multi-agent systems, and the integration of agentic workflows into enterprise infrastructure.
Strong programming skills in Appuim and TypeScript.
Proven experience as a software/test team lead.
Bonus Skills:
Experience deploying GenAI solutions at scale in cloud-native, distributed environments.
Contributions to AI/ML or GenAI open-source projects.
Experience with mobile device farms, cloud-based testing infrastructure, or AI-driven performance/security testing.
Familiarity with MLOps for model lifecycle management in test automation contexts.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.