לוח משרות דרושים הייטק אבטחת איכות QA, לחיפוש זה נמצאו 394 משרות

As a QA Engineer , you will play a key role in validating and improving our products, ensuring high quality.
You will join RADs family, as part of our team in Beer-Sheva, collaborating closely with software development teams in an agile and dynamic environment.

Location: Beer Sheva. Hybrid option once a week.

Responsibilities
Design and execute test plans and test cases based on system requirements
Identify, investigate, and report software bugs, while tracking them through resolution
Create and maintain clear test ation and reports
Collaborate with R&D teams to provide QA input throughout the development lifecycle
Communicate risks and quality concerns that may impact future releases

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. AWS provides 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.

We are looking for a Quality & Reliability Lead
Role Description
The Quality & Reliability Engineer is responsible for driving product quality, manufacturing excellence, and reliability performance across our products and operations.
Working closely with Engineering, Manufacturing, Supply Chain, Service, and R&D teams, this role leads quality and reliability initiatives that improve process capability, manufacturing yields, product robustness, and customer satisfaction through data-driven decision making, structured problem solving, and continuous improvement methodologies.
The role is also expected to leverage AI and advanced analytics tools to accelerate insights, improve decision making, and enhance operational effectiveness.
Responsibilities
What will you be doing:
Responsibilities - Quality
Lead quality improvement initiatives focused on yield enhancement, defect reduction, process stability, and continuous improvement across DMD operations.
Establish and maintain Statistical Process Control (SPC) and drive process capability analysis using statistical methods and data-driven quality metrics.
Lead root cause investigations utilizing methodologies such as 8D, 5 Why, Fishbone Analysis, Pareto Analysis, DOE, and FMEA.
Drive NCR, CAPA, and corrective action processes, identify trends, prioritize actions using evidence-based analysis, and verify effectiveness of implemented solutions.
Partner with Manufacturing, Engineering, Service, and Customer Support teams to resolve product quality issues, customer complaints, field incidents, and escalations.
Collaborate with suppliers to improve quality performance, drive supplier corrective actions, and reduce supplier-related quality risks.
Conduct supplier audits and assessments, including evaluation of manufacturing controls, process capability, inspection methods, and process discipline.
Review supplier quality documentation including CoC, CoT, ATR, inspection records, and quality reports to identify risks, trends, and improvement opportunities.
Lead internal and external audits, ensuring compliance and effective corrective actions.
Responsibilities - Reliability:
Partner with Engineering and R&D teams to define reliability qualification plans, test strategies, acceptance criteria, and reliability requirements for new and existing products.
Ensure reliability testing programs are properly executed and that test results are systematically reviewed, analyzed, and translated into actionable improvements.
Partner with Service and analyze reliability, field performance, MTBF, and MTTR data to identify trends, emerging risks, and improvement opportunities.
Lead investigations of reliability failures and support identification of physical, mechanical, electrical, optical, material, and process-related failure mechanisms.

Were looking for a sharp and experienced Senior QA Engineer to ensure the reliability, accuracy, and performance of most critical system - COS.
In this role, youll be embedded in a fast-paced product team, designing and executing manual and automated test plans that cover everything from backend APIs to customer-facing applications. Youll take ownership of quality from day one - helping build a scalable testing culture, mentoring junior engineers, and working closely with developers and product managers to catch issues before they hit production. If you're passionate about high standards and building quality into every stage of the SDLC, this ones for you.
Who You Are
Obsessed with quality and passionate about preventing bugs, not just finding them
A team player who thrives in cross-functional environments
Analytical and curious - you ask the right questions and dig deep
Detail-oriented but also see the bigger picture
Proactive, resourceful, and always looking to improve how things are done

We are looking for a brilliant, curious, creative, and fun-loving Senior Automation Engineer with a passion for excellence and collaboration. Youll also be ready to take on a huge challenge of building and testing aprils applications, APIs, computation engine and financial platform! We are looking for an individual who is comfortable and excited about taking ownership and driving initiatives from beginning to end and is not afraid of anything (in tech :P). If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
Key responsibilities:
Design and develop aprils manual testing and automation processes, tools and infrastructure
Be part of our core engineering team developing our services and system architecture
Take significant part of the testing & quality assurance processes april-wide and ensure that quality is built into every step of the development life-cycle using the latest technologies and overcoming limitations
Help define and drive our best practices and frameworks
Work closely with the product team to define the testing strategy and incorporate it in our program plans and roadmap, execute the testing plans and be the advocate for benefits of QA & automation
Influence design decisions, architectures, select/evaluate tools, and enforce a quality-based approach.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a bright and motivated individual to join the Solutions Testing Group at Lenovo–Infinidat. As part of our Test Engineering team, you will collaborate closely with Product, Design, Development, and Customer Support teams throughout the entire product lifecycle. In this role, you will contribute to test planning and execution, combining hands-on manual testing with the development and maintenance of automated test frameworks across several of the company’s products. You will independently lead and deliver testing efforts end-to-end, from requirements analysis through final validation.

Responsibilities:

* Plan, design, and execute test strategies for complex products
* Perform manual and automated testing to ensure product quality
* Analyze test results and provide clear, actionable reports
* Develop advanced test scenarios using Python
* Maintain and enhance existing automation frameworks and test code
* Collaborate with cross-functional teams to ensure high-quality product delivery

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? Our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team in our R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software-from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.

We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!

What you'll be doing:

We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:

Review architectural designs and requirements for new features introduced to the product.

Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases.

Develop Python automation suites built on clean OOP principles.

Chase down defects and validate fixes until we fully resolve the root cause.

Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives.

We are seeking an experienced QA Specialist to join our ITPE (Interconnect Product Engineering) Test/Software Development team. This position will be part of our growing team, which develops testing frameworks, core test infrastructure, and engineering tools for optical transceivers and next-generation interconnect our products. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged. As a Senior QA Specialist in this group, you will own the quality of the frameworks, core libraries, and tools our developers build, ensuring they are stable, reliable, and production ready. The ideal candidate should bring a robust understanding of the SW development lifecycle and the QA role within it.

What youll be doing:
Define and own QA strategy, test plans, and quality standards for testing platforms, essential libraries, and utilities.
Build and maintain automated test pipelines; integrate quality gates into CI/CD workflows.
Maintain regression suites that catch breakages as frameworks evolve.
Develop test fixtures, mocks, and simulators for testing code in isolation.
Track quality metrics and generate summary reports of testing activities.
Collaborate with teams across ITPE including NPI, MP, data intelligence, and R&D.

We help leaders manage tradeoffs and decision making with intelligence powered by AI so they can guide their teams to focus on the right innovations and creativity required to improve the business. And as customers increase AI adoption, we also help them leverage AI responsibly and with governance to ensure software delivery teams and practices dont hinder innovations from AI. 

Our mission is to unlock endless digital possibilities by harmonizing the delivery of software. Our vision is to be THE enterprise platform for AI driven software development.

As the technical focal point for quality, you will coordinate with R&D squads to ensure robust automation coverage, while actively writing and maintaining test scripts to support the teams. You will own our real-device mobile environments and oversee release readiness, independently auditing test scenarios and driving automation runs to provide the final technical "go/no-go" for new versions.

We are looking for a QA Manager to own a new testing domain, which enables our products to meet the industry leading benchmarks of efficiency and quality. The ideal candidate will able to learn new features, execute manual/automated tests and be technical expert to the team

What youll be doing:

Lead the QA team from the planning stage through execution up to GA release, with the highest quality for the company`s products.

Collaborate with peer engineering teams, and program/product management to ensure that product requirements, goals and objectives are met or exceeded.

Lead and implement analysis, debugging tracking flows with accordance to QA and SW methodologies.

Review the teams test-plans for the product coverage and strive for full automation.

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team.

Mentor and guide the professional and technical development of the team members.

Review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient way.

Required People Infrastructure Lead (Systems, Data & Compensation)
About The Position
A next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, we use runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, we deliver comprehensive capabilities - including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company.
What this role is:
Think of this as the platform engineering role for our People function. Just like a platform team builds the systems that let engineers ship fast - you'll build the operational layer that lets the entire company run fast.
Real-time data. Automated workflows. Compensation logic that actually scales. No legacy systems to untangle, no inherited processes to maintain. Full ownership over how People infrastructure gets designed, built, and operated.
This isn't traditional People Ops. It's the technical backbone behind it.
What you'll build:
Own the People infrastructure end-to-end - HiBob and the integrated ecosystem around it.
Engineer frictionless, automated lifecycle workflows across the entire employee journey - from offer to offboarding.
Build the compensation infrastructure from the ground up: leveling, salary bands, benchmarking, and the logic that ties them together.
Turn organizational data into a real-time, high-fidelity source of truth that leaders actually trust.
Deploy AI and automation to eliminate manual work - not assist it.
Give leadership the visibility and operational agility to make fast, confident decisions at any scale.
These are the core domains. What you build within them and how - is largely up to you.
You'll thrive here if:
You've built People systems from scratch - not maintained someone else's.
You think in systems and data, not tickets and tasks.
You're technically comfortable - you can turn a People challenge into an automated workflow without waiting for IT.
Compensation logic excites you, not intimidates you.
You've worked in a high-growth environment and know exactly what breaks at scale.
You're excited by using AI to replace manual work - not just dress it up.
You move decisions forward instead of getting stuck in discussions.