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לפני 2 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
Requirements:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity.
This position is open to all candidates.
 
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משרה בלעדית
2 ימים
דרושים בדיאלוג
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
לחברת Start Up מובילה ומבוססת המפתחת פלטפורמת ענן חדשנית לייעול תהליכים דיגיטליים עבור חברות ענק גלובליות, דרוש/ה QA Automation Engineer.
התפקיד כולל בקרת האיכות מקצה לקצה עבור פיצ'רים חדשים בצוות פיתוח, משלב העכשווי של העיצוב ועד לעלייה ל-Production. במסגרת התפקיד, פיתוח ותחזוקה של תשתית בדיקות ( UI, API, backend ), עבודה צמודה עם מפתחים ומנהלי מוצר, ושימוש בכלי בינה מלאכותית (כמו Claude) לשיפור תהליכי הבדיקה והפרודוקטיביות.
יושבים במרכז הארץ, בקו רכבת, ומשלבים יומיים עבודה מהבית.
דרישות:
3 שנות ניסיון ומעלה ב- QA Automation
שליטה מעמיקה בכלי אוטומציה ותשתיות בדיקה
ניסיון בבדיקות מערכות UI, API ו- backend
ניסיון מעשי בעבודה עם מסדי נתונים רלציוניים וכתיבת שאילתות SQL
ניסיון מעשי בשימוש בכלי AI (למשל Claude) בתהליכי הפיתוח והבדיקות
הבנה מעמיקה של מחזור חיי פיתוח תוכנה ומתודולוגיות בדיקה
ניסיון עבודה בסביבת Agile
ניסיון עם C # /.NET - יתרון
ניסיון בתשתיות אוטומציה מודרניות (Selenium, Playwright, Cypress) - יתרון המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
2 ימים
סוג משרה: משרה מלאה
התפקיד כולל ביצוע ביקורת איכות למוצרים אלקטרוניים ותהליכי אינטגרציה, עבודה לפי שרטוטים ונהלים בעברית ובאנגלית, איתור חריגות בתהליכי ייצור ודיווח נתוני איכות.
כתיבת נהלים ויישומם בהתאמה לתקני האיכות.
עבודה לפי שרטוטים ונהלים בעברית ואנגלית.
עבודה מול הנהלת החברה בישראל וזום שבועי מול חברת האם בארה"ב
משרה מלאה בכפר סבא.
דרישות:
טכנאי או הנדסאי אלקטרוניקה / אלקטרומכניקה
ניסיון בתחום ביקורת איכות- חובה
אנגלית ברמה גבוהה כתיבה ודיבור
ניסיון בכתיבת נהלים ויישומם בהתאמה לתקני האיכות בדגש על ISO. המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
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דיווח על תוכן לא הולם או מפלה
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 9 שעות
דרושים בסיוון תכנון
סוג משרה: משרה מלאה
לסיון תכנון - מפתחת ומשווקת CivilCAD, תוכנה מתקדמת וחדשנית לתכנון כבישים, תשתיות ומיפוי.

תיאור התפקיד:
*ליווי ותמיכה שוטפת במשתמשי CivilCAD
*ביצוע הדרכות.
*השתתפות בבדיקות איכות לתוכנה (QA/QC)

המשרה במשרדנו ברעננה, עם אפשרות ליום עבודה היברידי אחד בשבוע - 80% משרה.
קיימת אפשרות גם למשרה מלאה.
דרישות:
*יכולת טכנית גבוהה, שליטה מצוינת במחשב ויכולת למידה מהירה.
*אנגלית ברמה טובה - בכתב ובעל פה.
*תודעת שירות גבוהה, סבלנות ויכולת הסברה ברורה ומקצועית.
*היכרות עם תחום הנדסה אזרחית - יתרון.
*שליטה טובה ב-ZWCAD / AutoCAD - יתרון.

* המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
משרה בלעדית
1 ימים
דרושים בריקרוטיקס בע"מ
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
לחברה המתמחה בתהליכי איכות ורגולציה של מכשור רפואי דרוש/ה מנהל /ת פרויקטים.
החברה מובילה בתחומה ומשרתת את חברות בינל, יזמים סדרתיים ונמצאת בחוד החנית של העשייה המקצועית והאקדמית בתחום.
התפקיד הנו כחלק מצוות רב תחומי הנותן מענה מיטבי לכל ההיבטים של רגולציה הכוללים הבטחת איכות, תקינה, התעדה, רישום בינלאומי, מחקרים קליניים והנדסת שימושיות.
מטרת התפקיד הנה ליצור ערך ללקוח ולנהל פרויקט ברמה גבוהה בתחומי האיכות והרגולציה תוך עמידה ביעדים מקצועיים וכלכליים.
דרישות:
תואר הנדסי - יתרון
לפחות 10 שנות ניסיון כמנהל/ת איכות ו/או רגולציה בחברת מכשור יצרנית - חובה
הסמכה כעורך מבדקים ISO13485 - חובה
תשוקה לתחום ורצון להתפתח ולהצטיין יכולת הבעה בכתב ובע"פ בעברית ובאנגלית ברמה גבוהה תודעת שירות גבוהה, תקשורת מצוינת ויכולת עבודה עם ממשקים רבים נכונות לעבודה באזור השרון ונסיעות למשרדי הלקוח מעת לעת המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
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8820892
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 2 שעות
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
Requirements:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity.
This position is open to all candidates.
 
Show more...
הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 2 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
דרישות:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity
Bias for hiring and developing senior המשרה מיועדת לנשים ולגברים כאחד.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829132
סגור
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 2 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
דרישות:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity
Bias for hiring and developing senior המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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8829128
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 2 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
Requirements:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829126
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 2 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a strong AI QA Automation Lead with high technical skills to build methodology, provide vision and direction, and lead quality & automation throughout the organization. This role operates at the intersection of traditional software quality and AI-powered development: owning quality not just for code written by humans, but for systems designed, generated, and executed by AI agents.
How will you make an impact?
Serve as the quality leader for an entire domain, accountable for product quality across human-written, AI-generated, and agent-executed software
Actively track the domains quality tasks, analyze the testing needs, and define QA activities and ownership
Continuously analyze and challenge existing testing coverage
Plan, develop, and execute test strategy across our Cloud Analytics platform , extending to AI-powered and agentic system components
Review and approve tests cases and complex system scenarios
Prepare and present data-driven quality insights, KPIs, risks, and trends to leadership through regular domain level reporting.
Lead domain-level RCA reviews for customer-facing bugs and major incidents; detect trends and drive systemic improvements.
Own post-deployment quality monitoring, drive sanity completion and rapid triage of production issues within the domain.
Lead Quality assurance efforts that align with product objectives to ship products rapidly and with confidence
Help the teams design the performance, concurrency and latency test scenarios and metrics
Lead risk-based test strategy with product and engineering - define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
Implement and evolve QA processes to get effective test signals and scale testing efforts across our services
Define acceptance criteria for non-deterministic systems using golden-set evaluation, behavioral contracts, and statistical confidence thresholds
Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
Partner with engineering and DevOps teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product
Track and improve CI/CD pipeline health across environments - expanding automation coverage, hardening test stability, and ensuring every environment produces trustworthy test signals.
Plan and lead NFR testing
Define guidelines and best practices for our automation and manual testing procedures
Coordinate cross-organization/cross-region testing activities.
Requirements:
Education:
BSc in Computer Science/Software Engineering or equivalent
3 years QA Automation leadership experience: Team leader/Manager
At least 4 years of automation experience
Hands-on experience working within an agentic SDLC including AI-assisted code generation, agent-driven development workflows, and the quality, review, and governance practices that keep AI-accelerated delivery safe and reliable.
Experience building AI-enabled automation workflows (e.g. Claude/OpenAI APIs, prompt patterns for test generation, repo-aware RAG, scripts/services that turn AI output into runnable tests)
Experience with large scale production distributed systems and proven experience with designing and implementing tests for such systems
Experience with systems that work with structured and unstructured data and with AI services and models
Demonstrated technical leadership across teams - driving standards, roadmap execution, and stakeholder alignment
Ability to define QA processes across development groups
Hands on experience with CI/CD and Test-Driven Development
Excellent communication skills (written and verbal) and interpersonal skills
Experience with full software development lifecycle using Agile Development processes
Experience designing evaluation harnesses for non-deterministic AI systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829144
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 10 שעות
Location: Ra'anana and Shlomi
Job Type: Full Time and Hybrid work
This role will be required to travel to our sister site in Shlomi 3x per week and at Ra'anana site 1x per week and 1 day working remote.

In this role, The Sr Manager, Quality Engineering is responsible for leading the sites Quality Engineering, Manufacturing Quality, and Quality Compliance functions. This role oversees engineering quality processes, design transfer, process validation, production quality oversight, customer complaints handling.

The Sr. Manager, Quality Engineering position leads Quality Engineers for both design and operations and Quality compliance engineers and ensures that products, processes meet all applicable regulatory, customer, and corporate requirements. The Manager serves as a strong advocate for product and process quality across the full lifecycle - from design transfer and process validation through post-market surveillance.

This role works cross-functionally with Operations, Engineering, RA, Supply Chain, and external stakeholders, ensuring compliance with standards such as ISO 13485, MDR 2017/745, MDSAP, ISO 14971, 21 CFR 820, and applicable GMP requirements.

Essential Duties and Responsibilities
Quality Engineering & Manufacturing Oversight: Lead review and approval of technical and engineering documentation including: DMR, DHF elements, IQ/OQ/PQ, Process validations and qualifications, Product specifications. Risk management files (dFMEA/pFMEA), Test methods, protocols, reports, Design transfer documentation.
Provide quality oversight for: New production line establishment Process validation activities Engineering changes (ECO/DCO), Software validations.
Oversee production quality controls including: Raw material approval, Calibration approval (including deviations), DHR and batch record review, Labeling release, Nonconformance management (NCMR).
Drive Right First Time and Cost of Poor Quality (CoPQ) initiatives.
Provide escalation support and structured problem-solving guidance.
Customer Complaints & Post-Market Surveillance: Lead the sites customer complaints handling process:
Investigation and root cause analysis, Risk-based evaluation, Corrections and corrective actions, RMA/RGA management, Oversee complaints trending and reporting.
Support RA in identification of Adverse Events and Hazardous Situations.
Ensure feedback loop into risk management files and process improvements.
Interface directly with customers regarding QA-related nonconformities and investigations.
Leadership & People Management; Set priorities and objectives for Quality Engineering and Compliance teams. Supervise day-to-day performance, training, and development.
Provide coaching on: Root cause analysis, Risk-based decision making, Regulatory interpretation, Technical problem solving, Ensure effective communication across functional and leadership levels.
Promote a strong Quality First culture throughout the organization.
Requirements:
Education
B.Sc. in Engineering, Science, Chemistry, Biology or related discipline (Relevant experience may be considered in lieu of degree).

Work Experience
8-10+ years of experience in Quality roles within Medical Device industry.
Proven experience in:
Design controls

Process validation

Risk management

Customer complaints handling

Strong knowledge of: ISO 13485, MDR 2017/745, MDSAP, ISO 14971, 21 CFR 820.
5+ years of people management experience, preferred experience of managing team leaders..
Preferred Experience with: MasterControl, SAP, SharePoint, Statistical tools, Proficient in Microsoft Office Suite.
Preferred Knowledge, Skills and Abilities
Certified Quality Auditor preferred.
Strong knowledge and understanding of FDAs 21 CFR Part 820, ISO13485, ISO9001, and other international regulations.
Familiarity with document management databases, particularly MasterControls and SAP.
Proven ability to manage multiple priorities, drive projects to completion and meet internal customer expectations.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8827732
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