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Location: Shlomi and Ra'anana
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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מיקום המשרה: מספר מקומות
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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.
 
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מיקום המשרה: מספר מקומות
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לחברה יצרנית בתחום המזון,
דרוש/ה מנהל /ת הבטחת איכות.
משרה מלאה (ימי שישי - לפי צורך).
מיקום - נהריה.


תיאור התפקיד -
הובלת תהליכי שיפור ופיתוח תחום הבטחת האיכות ובטיחות המזון.
מעקב ופיקוח על תהליכי הייצור והניקיון ברצפת היצור.
ביצוע הדרכות לעובדים.
אחריות על אישור ושחרור מוצרים בהתאם לסטנדרטים.
ביצוע וליווי מבדקים פנימיים וחיצוניים.
טיפול ותחקור אירועים חריגים, ביצוע פעולות מתקנות וביצוע מעקב אחר אפקטיביות.
כתיבה ועדכון נהלים/ הוראות עבודה/ מפרטים.
טיפול בתלונות לקוחות וספקים.
ניהול צוות עובדים (מבקרי איכות).
יישום דרישות FSSC/ ISO/ HACCP.
עבודה מול ממשקים רבים כמו: משרד הבריאות, מכון ההתעדה, ספקים וכו'.
דרישות:
ניסיון קודם כמנהל/ת איכות במפעל מזון- חובה!!! (מינ' 3 שנות ניסיון בתחום).
תואר אקדמי- מהנדס/ת טכנולוג/ית מזון/ תואר ראשון בביוכימיה ומזון.
היכרות ושליטה בתקני ISO/ HACCP/ FSSC וברגולציות מזון.
שליטה בישומי OFFICE.
יכולת עבודה תחת לחץ.
ניסיון בניהול צוות עובדים.
ניידות חובה! המשרה מיועדת לנשים ולגברים כאחד.
 
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דרושים במיטב משאבי אנוש ותוכנה - MeitavJob
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
הובלת צוות בקרי איכות
אחריות על איכות המוצר המסופק ללקוחות
אחריות על איכות קבלת חומרי הגלם
הטמעה ועבודה לפי תקני אבטחת איכות
כתיבת דוחות, חקר תקלות
בקרה ומעקב סטטיסטי על הנעשה בייצור
שיפור וייעול עמדות עבודה ותהליכי ייצור
ביצוע הדרכת עובדים והסמכות תקופתיות
דרישות:
ניסיון רלוונטי חובה

שליטה בשפה האנגלית
העבודה במשרה מלאה עם נכונות לשעות נוספות
עצמאי/ת בעל/ת יכולת הובלה של ריבוי משימות ואנשים,
נדרשת יכולת בעבודת צוות ושיתוף פעולה המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Shlomi
Job Type: Full Time
We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this fully onsite role, the Manufacturing Quality Engineer will own all qualiy activities at one of the manufacturing sub-contractors, support the validation process to the contract manufacturing and provide quality oversight to the engineering department, while working within a multi-functional team environment for medical devices. The Manufacturing Quality Engineer will lead projects and tasks, from product validation through transfer to the production and play an active role to ensure products meet quality standards consistent with internal procedures and acceptance criteria. Additionally, this role will identify and implement improvements to the production processes. The Manufacturing Quality Engineer will be the products and production focal point for our sub-contractors and will be responsible for projects related to the production and machines, including training, audits, stop and renew the production.

Essential Duties and Responsibilities
Exhibit a strong quality first mentality and ensure that product and quality are held to the highest standard.
Work cross-functionally with individuals or extended teams to provide guidance and ensure success of projects.
Responsible to write, review and approve pilot documents (including reports).
Write and approve various department and production procedures and forms.
Lead investigation processes for deviations and nonconformities in production and create analysis reports.
Responsible to train the sub-contractors according to QA procedures and VoE.
Support special processes such as sorting or rework in production.
Own all production activities at one of the subcontractors to ensure manufacturing is held according to West procedures and GMP/GDP standards
Responsible for stopping and renewing production with accordance to West requirements and with MQ manager approval.
Manage production related projects and act as MQ focal point in various internal and external projects- such as Data Integrity, CoPQ, production improvement plans, etc.
Provide Quality oversight of validation activities and processes.
Lead pilot processes that include change and approval of quality aspects in pilot protocols and reports and assure that pilot processes are conducted according to West guidance and protocols.
Attend production pilot meetings as the MQ focal point.
דרישות:
Education
Bachelor's Degree in Engineering or science related- required.
Relevant work history and/or experience may be considered in lieu of degree.
Work Experience
Minimum 3 years of experience in a quality engineering role in a regulated industry, pharmaceutical, or medical device manufacturer- required.
Preferred Knowledge, Skills and Abilities
Experience with production processes and process controls.
Experience with sub contractors interface and meeting customer expectations.
Experience with Medical Device, Validation Activities, Risk Management, Product Transfer to production.
Working knowledge of quality systems such as ISO 13485, 21 CFR 820, ISO 14971, MDSAP.
Must have effective problem solving and interpersonal skills.
Ability to work independently, multi-task and thrive in fast-paced environment.
Problem solving including root cause failure analysis methods.
Additional Requirements
Minimum 3 years of experience in Medical Device Quality & Production lifecycle.
Experience with production processes and process controls.
Experience with sub contractors interface and meeting customer expectations.
Experience with Medical Device, Validation Activities, Risk Management, Product Transfer to production.
Working knowledge of quality systems such as ISO 13485, 21 CFR 820, ISO 14971, MDSAP.
Must have effective problem solving and interpersonal skills.
Ability to work independentl המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Ra'anana
Job Type: Full Time and English Speakers
We are looking for an experienced Quality Assurance Engineer to lead and coordinate the company's quality activities across subcontractors and suppliers in Israel and internationally. The role is responsible for supplier qualification, continuous product and process improvement, and ensuring end-to-end product quality.
This position includes close collaboration with local and global subcontractors, electronic and mechanical assembly lines, and ownership of implementing a strong quality culture throughout manufacturing and shipping operations.
Responsibilities include ensuring workforce qualification at subcontractor sites (including work instructions, training, preventive and corrective actions, and audits), reviewing and approving production deviations, defining quality improvement KPIs and monitoring their implementation, supporting New Product Introduction (NPI) activities, monitoring engineering change implementation, ensuring the latest product revisions are used in manufacturing, participating in reliability and regulatory compliance activities, and generating quality performance reports for both operations and subcontractors.
The role involves extensive cross-functional collaboration throughout the organization.
If you have a systems-oriented mindset, deep understanding of manufacturing and assembly processes, and proven experience in high-tech or defense companies, we'd love to hear from you.
Requirements:
At least 7 years of experience as a Quality Assurance Engineer in a hardware manufacturing environment.
Extensive hands-on experience working with subcontractors and suppliers.
Strong knowledge of quality management standards such as AS9100 and ISO 9001.
Deep understanding of electronic manufacturing processes, including PCB, PCBA, SMT, and IPC standards.
Strong understanding of mechanical manufacturing processes, including machining, sheet metal, enclosures, painting/coating, complex mechanical assemblies, tolerancing, and fits.
Proven experience leading Root Cause Analysis and implementing corrective and preventive actions using methodologies such as CAPA, 8D, and 5-Why.
Preferred Qualifications & Skills
Bachelor's degree in Industrial Engineering, Mechanical Engineering, Electrical/Electronics Engineering, Quality Engineering, or a related field.
Strong leadership skills with the ability to drive cross-functional initiatives independently.
Experience working with multiple stakeholders, including R&D, Engineering, Procurement, Manufacturing, and suppliers.
Experience with ERP and PLM systems.
Advanced proficiency in Microsoft Office, particularly Excel.
Strong understanding of operational and logistics processes.
Ability to work effectively under pressure in a fast-paced environment.
Self-motivated, proactive, and highly organized.
Excellent interpersonal, communication, and customer-oriented skills.
Professional assertiveness and strong problem-solving abilities.
Fluent English, both written and spoken (mandatory).
This position is open to all candidates.
 
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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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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
22/09/2026
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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מה השם שלך?
תיאור
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
22/09/2026
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
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
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.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8829126
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
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
שירות זה פתוח ללקוחות VIP בלבד