לוח משרות דרושים הייטק אבטחת איכות QA משרה מלאה, לחיפוש זה נמצאו 366 משרות

Eitan Medical is an international Medical Device company that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and their related accessory products. Job Description: Eitan medical is looking for a highly motivated Software QA Engineer with strong manual testing capabilities, hands-on automation experience, and practical usage of AI tools for software quality and testing activities. As part of the Digital Health Department, you will be responsible for designing, planning, and executing test scenarios for complex medical software systems. The role combines manual testing, automation development, backend/API validation, and AI-assisted QA workflows to ensure high-quality and reliable products used in real-life patient care. You will work closely with R&D, Product, and System Engineering teams in a dynamic and fast-growing environment. Direct Manager: Digital Health SW QA Team Leader

Were looking for an experienced Automation Engineer to join our QA Automation team and help shape the future of quality at our company. In this role, youll play a critical part in developing innovative testing systems for our SaaS product-ensuring every release is fast, reliable, and built to scale.
Responsibilities
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

we are looking for a Automation tech lead.

abra Microsoft division is seeking a Data Team Lead We are looking for an experienced Data Team Lead to manage and lead a data team while staying hands-on in development, analysis, and project delivery. This role combines professional leadership, task management, and hands-on work across data development, data warehouse environments, and business-facing projects. Key Responsibilities:
* Manage and professionally lead a team of about 10 data professionals.
* Lead data development tasks, project execution, and ongoing delivery.
* Stay hands-on with development, analysis, and solution design.
* Work closely with stakeholders, report progress, and drive initiatives forward.

Job Responsibilities:
Reports on the performance of all service providers, conducting daily, weekly, and monthly reviews to assess key metrics and identify opportunities for improvement, working under general supervision.
Delegates ownership of the warehousing operations in her/his scope, securing inbound goods receiving, storage, handling and picking/packing are executed efficiently with a focus on highest quality and patient safety, end-to-end optimization and in full compliance with processes defined and with quality, regulatory, sustainability, legal and trade compliance obligations.
Controls that execution of processes is done with focus on highest quality and patient safety, in full compliance with processes defined and with quality, regulatory, sustainability, legal and trade compliance obligations.
Ensures the quality assurance of master data and transactional data throughout the entirety of his/her operational activities, maintaining a stringent adherence to established protocols and standards to guarantee accuracy, consistency, and reliability across all created and updated records.
Supports daily inbound activities of the distribution center, including prioritizing tasks and resolving exceptions such as overdue Advanced Shipping Notice (ASN) checks, over- and under-deliveries, and inbound complaints.
Assists with daily outbound activities of the distribution center, prioritizing tasks and resolving exceptions such as overdue deliveries, overdue Proof of Delivery (POD) documents, and customer complaints.
Initiates process improvements for inbound and outbound activities based on root cause analysis of daily exceptions in operational processes, striving for continuous enhancement.
Conducts daily checks of interfaces between SAP, Transportation Management System (TMID), and Logistics Service Provider (LSP) systems to ensure data integrity and smooth information flow.
Ensures alignment between stock in SAP and Warehouse Management System (WMS) systems, conducting regular audits and reconciliations to maintain accuracy and safeguarding against potential disruptions to inventory management processes.
Coordinates rework activities for stocks, addressing quality issues, customer Value-Added Services (VAS) activities, and promotional VAS activities as requested by business units or marketing.
Prepares and maintains transportation plans for finished products within a long-term timeframe, validates transportation capacity, considering customer demand and promised delivery dates.
Calculates transportation capacity and develop transport plans on a long-term basis, adjusting schedules as necessary to optimize efficiency and meet strategic objectives.
Contributes to the implementation of new control systems and the improvement of planning procedures and methods as part of working groups, collaborating with cross-functional teams to drive efficiency and effectiveness.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. We provide a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

Required Automation Engineering Lead
Join us and help us innovate cloud communications for businesses worldwide!
our Applications:
Our Applications business unit focuses on delivering a suite of advanced communication tools designed to enhance customer engagement. From cloud contact centers to feature-rich unified communications solutions, our Applications team is dedicated to providing businesses with the tools they need to streamline operations and improve customer experiences.
Why this role matters:
Software quality is not a checkpoint - it is a culture. As our Automation Engineering Lead, you will own the quality strategy across a group of development teams building the communication products that millions of businesses rely on every day. You will be the person who ensures that what we ship is reliable, continuously-tested, and production-ready - and that every engineer in the group feels accountable for quality. If you are passionate about building quality from the ground up and influencing how entire teams think about testing, this role was made for you.
Your key responsibilities:
Define and drive the quality strategy across multiple development teams, aligning it with engineering and business goals
Establish quality standards, metrics, and governance processes that promote continuous improvement and release confidence
Drive an automation-first approach - ensuring critical paths are automated and integrated into CI/CD pipelines
Develop comprehensive test strategies covering functional, non-functional, integration, regression, performance, security, and compatibility testing
Mentor and coach QA and Automation Engineers, fostering skill growth and a culture of learning
Collaborate with QA Architects, Engineering Managers, and Product Managers to align on enterprise-wide quality standards
Facilitate knowledge sharing across teams through guilds, workshops, and documentation.

Required Al Infrastructure & Reliability Engineer
What this role is really about
Youll join a 3-person platform team within our Business Technology group -owning the internal infrastructure that our AI platform and its users depend on. This isnt a product engineering role, and it isnt ticket work or babysitting pipelines someone else built. Youre building and operating the internal foundation that the company runs on. The work covers the full stack of platform engineering: core cloud infrastructure (AWS, Kubernetes, IaC), CI/CD pipelines, AI-driven infrastructure components, and the SRE and observability practice that keeps it all honest -metrics, alerting, incident response, and reliability standards. As our AI capabilities grow, so does the complexity underneath them, and staying ahead of that is central to the role. If you treat infrastructure as a product -reusable, automated, observable, and built to last -this is your kind of role.
Job responsibilities
DevOps & AI-Driven Infrastructure - own CI/CD, deployment processes, and release reliability. Build and operate cloud infrastructure that is automated, intelligent, and continuously self-improving - not just managed.
Design and build our Terraform repository and IaC pipeline from scratch -AI-assisted generation, drift detection, and policy enforcement built in.
Build AI-driven GitHub Actions pipelines -automated code review, risk assessment, and intelligent deployment decisions.
Manage Kubernetes workloads across AWS accounts -zero downtime, fully automated, nothing left behind.
Embed AI into the operational layer -proactive drift detection, automated remediation, and intelligent scaling toward a self-healing runtime.
Reliability & SRE -improve uptime, resilience, and incident response.
Define and enforce SLOs/SLIs, error budgets, and on-call practices.
Lead incident response, postmortems, and systemic reliability improvements.
Own AI-specific reliability: model latency SLOs, token quota monitoring, rate limit handling, fallback and retry strategies, and cost-per-request alerting.
Observability & Telemetry - increase visibility, reduce noise, improve troubleshooting.
Establish and continuously evolve the observability stack: metrics, logs, distributed tracing, and alerting tuned for both application and AI workloads.
AI / LLM Operations- bringing AI systems to production and operating them at scale, with a focus on reliability, performance, and trust.
Own the AI infrastructure layer: rate limits, quota management, latency SLOs, and fallback strategies (retries, circuit breakers).
Operate LLM APIs in production with resilience and cost attribution per team/model.

We are looking for a seasoned and execution-driven Head of QA to own the quality function across our portfolio of multiple applications, serving millions of users worldwide. In this role you will provide technical leadership and guidance to QA engineers and team leads across R&D, fostering a culture of ownership, technical excellence, and continuous improvement.

You will work closely with R&D team leads, product managers, and analysts to embed quality across the SDLC, and will leverage AI-powered tools to scale coverage and velocity. You will report to the VP R&D.

What Youll Do?

Lead, hire and grow QA engineers, including team leads, fostering a culture of ownership, technical excellence, and continuous improvement.
Own the company-wide quality strategy - test plans, release processes, environments, coverage targets, and quality KPIs across web, backend, and mobile (iOS / Android).
Define and evolve our test automation strategy and frameworks, driving automation-first thinking across all R&D teams.
Drive adoption of AI-powered testing tools and agentic workflows to improve coverage, reduce regression cycles, and increase team velocity.
Partner with R&D leadership to embed quality gates into CI/CD pipelines and ensure release readiness at scale.
Stay hands-on where it matters - reviewing test architectures, investigating production-impacting issues, and contributing to critical test efforts.
Own the QA tooling stack and vendor relationships, balancing cost, coverage, and developer experience.

We are looking for an experienced Pre-Silicon Quality Manager to lead quality initiatives across our R&D organization, working closely with chip design, verification, and Application Engineering teams.
In this role you will be focused on engineering quality across the pre-silicon development lifecycle, ensuring robust development processes, strong verification practices, and continuous improvement. The ideal candidate combines technical experience in RTL / chip design environments with the ability to partner with engineering teams, influence stakeholders, and promote a strong quality culture across the organization.
Responsibilities:
Lead quality initiatives across the pre-silicon development lifecycle
Define and implement quality gates and release criteria for chip development milestones
Promote a shift-left approach to improve early defect detection during design and verification
Define, implement, and improve engineering quality processes and development frameworks
Lead escape analysis, root cause investigations, and lessons learned to prevent recurrence of issues
Define and track quality KPIs, engineering metrics, and dashboards to support data-driven decision making
Perform defect analytics and trend analysis to identify systemic issues and improvement opportunities
Manage corrective and preventive actions (CAPA) and monitor effectiveness of implemented actions
Improve development, verification, and release processes across engineering teams
Identify and manage engineering quality risks throughout the development lifecycle
Drive cross-organizational continuous improvement initiatives across engineering teams
Partner with RTL design, verification, and Application Engineering teams to strengthen product quality and reliability
Support and improve quality processes that enable smooth customer onboarding, efficient integration, and reliable use of the Pre-Silicon solution
Improve issue management processes and feedback loops between engineering, AE, and customer-facing teams
Promote quality culture and engineering best practices across the organization.

we seek a SW QA Engineer to join our R&D organization and play a key role in ensuring the quality of our advanced software solutions.
In this role, you will become an integral part of an Agile team, contributing to the development and release of multidisciplinary systems. You will work closely with R&D, system, and product teams, driving quality across the software lifecycle and supporting product validation, including Beta testing at customer sites worldwide.
This position offers a unique opportunity to work on complex systems combining software, hardware, and advanced technologies in the semiconductor industry.
Responsibilities:
Act as a QA engineer within an Agile development team
Participate in all stages of the software development lifecycle, from design to release
Define and implement testing strategies and plans for software systems
Perform manual testing to validate system functionality and performance
Develop, execute, and maintain regression tests
Identify risks in software development and ensure high-quality standards
Investigate failures, perform root cause analysis, and define corrective actions
Plan, coordinate, and execute Beta testing activities at customer sites (abroad)
Develop deep system understanding to support continuous improvement