לוח משרות דרושים ראש צוות QA, לחיפוש זה נמצאו 37 משרות

We are looking for a Software Engineer in Test Team Lead - to lead a team of highly skilled Automation Engineers responsible for ensuring the quality, stability, and scalability of distributed storage platform.
This is a hands-on leadership role for an experienced engineering leader who is passionate about building high-quality automation infrastructure, mentoring engineers, and driving technical excellence. You will combine people leadership with deep technical involvement, working closely with Software Engineers, Architects, Product Managers, and Customer Engineering teams to continuously improve product quality across complex distributed systems and build the infrastructure that challenges platform to its theoretical limits.

Responsibilities

Lead, mentor, and grow a team of Automation Engineers, fostering technical excellence, ownership, and collaboration.
Remain hands-on by actively designing, developing, and reviewing Python-based automation frameworks, tools, and system tests.
Define and execute the team's automation strategy, ensuring broad and scalable test coverage across new and existing product capabilities.
Drive the design and implementation of automation infrastructure for large-scale distributed environments.
Collaborate closely with R&D, Product Management, and Architecture teams throughout the development lifecycle.
Lead technical investigations, root cause analysis, and quality improvements for complex distributed system issues.
Continuously improve automation methodologies, development processes, and engineering best practices.
Support release readiness by ensuring product quality, stability, performance, and reliability.
Coach team members through technical guidance, code reviews, career development, and day-to-day leadership.

DRS RADA Technologies, a leading defense company specializing in the development and manufacturing of life-saving radar systems, is looking for a Production Quality Team Lead to join our Production Quality team. Responsibilities:
* Lead quality investigations for failures and non-conformances, including root cause analysis and driving corrective and preventive actions (CAPA).
* Conduct internal quality audits in accordance with aerospace quality standards and monitor corrective actions to address identified gaps.
* Analyze quality data, prepare and present ongoing trends and statistical reports, develop improvement plans, and monitor their implementation.
* Work cross-functionally with Development, Engineering, Procurement, and Manufacturing teams, supporting products during the NPI phase.
* Prepare presentations and lead meetings with multidisciplinary teams.
* Take overall responsibility for manufacturing quality processes for military products, including FMEA and MRB activities.
* Review and interpret engineering specifications, technical documentation, and engineering drawings.
* Utilize Microsoft Office applications proficiently, prepare professional presentations, communicate clearly and concisely, and work effectively in a team-oriented environment.
* Thrive in a fast-paced, challenging environment and be willing to work additional hours when required.

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.

We are seeking a highly skilled and motivated architect to join our team. The ideal candidate will be responsible for leading quality activities across groups' solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Your Impact
Oversee and manage quality activities for cross-group solution-level features, ensuring alignment with overall quality goals.
Define E2E scenarios for cross group projects and push for testable designs. Ensure E2E scenarios are covered by manual and automation by collaborating with the correct personas in the groups and the central QA.
Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.
Work closely with the different personas in the groups to promote quality mindset, best practices, tools and product knowledge to improve the overall quality.
Identify gaps that require a centralized solution and work with the centralized QA, PMO org and other solution quality leads to promote a holistic solution, enablement or processes.

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.

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.

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.

We're hiring a Quality Lead to own that. Why this role is different: you won't run a traditional QA team that tests features at the end. You'll own the quality gates inside the Machine and in production, author the monitoring skills our pods rely on, and hold independent authority to fail the Machine's output. Quality is our north star, and this role sets the bar.
THE MISSION: Make reliability, performance, and user experience a property of the system - not of individual heroics. Build and lead a Quality function (~9 people) that keeps an AI-native delivery org fast and trustworthy, and give the business confidence that what the Machine ships is safe to ship.
WHAT YOU'LL DO:
Own quality gates in the Machine - prose-driven tests (generated from requirements, not the code), adversarial / agent-checks-agent review, static analysis and code-quality remediation (e.g. SonarCloud), and CI gates that run before anything reaches a human.
Own quality in production - release verification, production testing, and ownership of change-fail and deployment-rework rates.
Author monitoring guidelines & reusable observability skills that delivery pods and the Machine consume - so monitoring is built in, not bolted on.
Own the evals that score the Machine's output for behavioral consistency and reliability - treating evaluation as a first-class engineering discipline.
Act as an independent governance voice - with the authority to block or fail output that doesn't meet the bar, partnering closely with Architecture.
Partner with the Core Platform team on the quality of customer-issue fixes and existing functionality.
Lead, coach and grow the team - quality/gate engineers, an agent-evaluation engineer, production-monitoring (SRE) and QA-infrastructure engineers.
Set the quality metrics and report them - DORA + deployment-rework rate, escaped-defect rate, review-queue depth, eval pass rates.

As a QA Automation Tech Lead, you will drive automation strategy and testing frameworks. Youll take end-to-end ownership of the automation architecture across all testing layers (API, UI, and E2E), from design to CI/CD integration. Youll collaborate closely with R&D and Product, serving as the technical leader championing quality across the team.

Responsibilities

Drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
Define the automation approach across testing layers: API, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
Own automation quality itself: test stability, flakiness reduction, execution time, and suite reliability
Define and report quality metrics: coverage, pass rate, flakiness, and execution trends
Integrate and evolve automation in CI/CD pipelines (GitHub Actions) for fast, reliable feedback on every change
Represent testability in design and architecture reviews and surface risks early (shift-left)
Partner with developers, product, and manual QA to decide what gets automated, at which layer, and what does not
Evaluate and introduce new tools and approaches, including AI-assisted testing workflows

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.

Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Responsibilities:

- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.

- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.

- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.

- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.

- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.

- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.

- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.

- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role:
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality

abra professional services is seeking a AI-Driven QA Automation Lead! Responsibilities:
* Leading the organizational transition to an Automation-First approach and implementing Quality Engineering practices and smart automation.
* End-to-end ownership of the quality strategy, including testing methodologies, quality gates, KPIs, and unified QA processes across all development teams.
* Managing the testing strategy throughout the entire Software Development Life Cycle (SDLC)—from DEV environments through QA, Staging, and Production—while ensuring consistent standards, risk management, and release readiness.
* Professional leadership, mentoring, and guidance of QA personnel in a matrix environment, including knowledge sharing and building organizational capabilities.
* Implementing and maintaining mobile automation infrastructure for iOS and Android using Cucumber / Gherkin, ensuring scalability, reliability, and compliance with organizational standards.
* Defining automation standards, code writing guidelines, and framework architectures, as well as optimizing performance and maintainability using advanced AI tools.
* Developing solutions for Test Data challenges within a banking environment and utilizing Mocks, Stubs, and Service Virtualization to minimize dependencies on unstable environments.
* Integrating automated test suites into Build and Release pipelines in VSTS / Azure DevOps, and defining quality gates and automated verification processes in CI/CD.

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.
Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.
- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.
- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.
- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.
- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.
- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.
- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.
- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.