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משרה בלעדית
1 ימים
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
- כפיפות ארגונית למנהל הלוגיסטיקה
- ממשקי עבודה חוצה ארגון - ייצור, רכש, שיווק, מחסנים
- אחריות לבקרת איכות של מוצרים בכל שלבי הייצור.
- אחריות לקביעת תקני האיכות בחברה ובקרה לביצוע.
- פיקוח ללא פשרות על איכות המוצרים.
- אחריות לקביעת תוכנית לשיפור האיכות.
- אחריות למדידת האיכות ע"י דוחות בקרה תקופתיים.
- אחריות לתקן ומבדקי ISO,עדכון והפצת נהלים בחברה.
- אחריות על תחומי הבטיחות במפעל.
- ניהול צוות בקרי איכות.
- הובלה והדרכה של הצוות המקצועי.
- בחינת תהליכי ונהלי עבודה שיקוף תמונת מצב והרמת דגלים.
- עבודה בצוות עם מנהלי מחלקות ומנהלי החברה.
דרישות:
- 5-3 שנות ניסיון בניהול בקרת איכות בחברה תעשייתית חובה!!!!.
- שליטה ויישום תקני ISO -חובה.
- ניסיון ב - GMP -חובה.
- ניסיון בניהול צוות עובדים - חובה.
- ניסיון בתחום הקוסמטיקה - יתרון
- מכיר/ה היטב את עולם אבטחת האיכות ומסוגל/ת להוביל שינויים.
- אנגלית ברמה טובה כתיבה, קריאה, דיבור.
OFFICE, OUTLOOK, EXCEL במחשב ידע- המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
משרה בלעדית
1 ימים
דרושים במטרה גיוס והשמה
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
תנאים נוספים:קרן השתלמות
לחברה ביטחונית מובילה בשרון דרוש/ה ראש/ת צוות איכות
התפקיד כולל הובלת תהליכי איכות ובקרה בייצור, ניהול חריגות ופעולות מתקנות, מבדקים פנימיים וחיצוניים, FAI, תמיכה במערכת QMS והובלת תהליכי שיפור מתמיד מול ממשקים בארגון.
דרישות:
הנדסאי/ת או מהנדס/ת - איכות / אלקטרוניקה / תעשייה וניהול / מכונות
3-5 שנות ניסיון כמהנדס/ת איכות בייצור אלקטרוני/מכני
ניסיון בקריאת שרטוטים ותיקי ייצור
ידע בתקן AS9100D - חובה
היכרות עם IPC-610 / IPC-620 - יתרון
ניסיון במערכות ERP, יתרון ל-Priority
עברית ואנגלית ברמה גבוהה מאוד
יכולות הובלה, אסרטיביות ועבודה בסביבה מטריציונית המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדות
עדכון קורות החיים לפני שליחה
8832120
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לוח ללקוחות VIP בלבד
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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 :)
22/09/2026
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
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829135
סגור
שירות זה פתוח ללקוחות VIP בלבד
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 :)
22/09/2026
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
שירות זה פתוח ללקוחות VIP בלבד
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 :)
22/09/2026
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
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829130
סגור
שירות זה פתוח ללקוחות VIP בלבד
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 :)
22/09/2026
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
8829128
סגור
שירות זה פתוח ללקוחות VIP בלבד
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 :)
22/09/2026
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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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
סגור
שירות זה פתוח ללקוחות VIP בלבד
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