לוח משרות דרושים הייטק אבטחת איכות QA בתל אביב יפו, לחיפוש זה נמצאו 99 משרות

We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).

We are building an automation team. In your role as a Test Automation Engineer, you will design and implement robust automated testing frameworks to enhance our product quality. A unique opportunity to shape and develop the automation framework from the ground up, ensuring seamless integration of the automation infrastructure into the overall development process. Build and maintain scalable automation frameworks for efficient testing across multiple product lines.

Your Opportunity:
Automation Framework Development: Build and maintain an automation framework to support efficient and scalable testing across multiple product lines.
Test Design and Execution: Develop, execute, and manage automated tests to ensure product quality, focusing on key areas like functional validation, performance testing, and operational resilience.
Collaboration with Engineering Teams: Work closely with developers and QA engineers to identify testing requirements, integrate automation into CI/CD pipelines, and troubleshoot test failures.
Data-Driven Insights: Analyze and report test results, using data to refine testing approaches and to drive continuous improvements in the automation process.
Technical Growth: Deepen your technical expertise with a focus on automation for complex systems, SaaS, and cloud environments.
Project Ownership: Lead projects to implement and scale automation frameworks, developing a strong foundation for future product testing.
Strategic Testing Initiatives: Identify and implement innovative testing methodologies and automation strategies.
Cross-Functional Collaboration: Partner with product and engineering teams to enhance quality processes through data-driven testing and continuous improvement.

This is a Senior Software Development Engineer in Test (SDET) position on our Falcon Data Protection product development team, focusing on the integration between our endpoint sensor and browser extension technology. You will own the end-to-end quality process for how the sensor and browser extension work together to deliver data protection - from hands-on exploratory testing and test strategy design through to building robust automation. As a key contributor to the team, you will drive validation for new capabilities, ensuring data protection works as expected across the full stack. Working closely with sensor, cloud, and extension development teams, you'll coordinate testing efforts, participate in technical design discussions, and lead code reviews. We're seeking a senior engineer who works independently, thrives on technical challenges, takes full ownership of quality for their domain, and contributes to a culture where quality is paramount.

Location: Hybrid - Tel Aviv, Israel

Success in this role means:

Owning the entire quality process for sensor and browser extension integration - from test strategy through hands-on testing to automation

Driving validation of new capabilities end-to-end, including test design, hands-on testing, automation, environment setup, and coordination across teams

Identifying what can and should be automated, and building that automation incrementally

Reviewing developer test code and SDET test code to raise the quality bar across the team

Collaborating both within and across teams as part of SDLC ceremonies and major initiatives

Building elegant, robust, and reliable solutions for complex technical problems

What You'll Do:

Own the quality process for sensor-browser extension integration - design and implement comprehensive test strategies, configure environments (VMs, CI/CD pipelines) and coordinate with developers and QA

Perform hands-on exploratory and manual testing of new features, then identify automation opportunities and build integration and E2E test automation

Build and maintain integration and end-to-end tests using Python, ensuring data protection features works correctly across sensor and browser extension on both Windows and macOS platforms

Review developer-written tests and SDET test code with an eye towards improving reliability, security, and maintainability

Debug cross-platform issues found through testing or customer-reported cases to identify root cause and enhance test coverage

Reproduce and validate fixes for customer-reported issues

Manage test infrastructure including CI/CD pipelines in Jenkins, ensuring fast and reliable feedback loops

Participate in SDLC ceremonies as part of major initiatives, collaborating with sensor, cloud, and extension teams

Collaborate with product and release management to control risk, improve quality, and streamline release cycles

We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for our data pipelines, reporting layers, and analytics solutions.
In this role, you will be responsible for validating data integrity end-to-end - from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems.
Key Responsibilities:
Develop and maintain automated QA tests for data pipelines, transformations, and data products.
Perform and execute manual QA testing such as functional, regression, and sanity testing of applications, dashboards, and backend systems.
Validate data flow across the system, including: ingestion, transformations, reports/dashboards.
Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation).
Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalies.
Build automation frameworks and validation scripts using Python.
Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteria.
Investigate failures and data issues, providing clear RCA and actionable bug reports.
Document test plans, test scenarios, expected results, and automation coverage.
Track issues in Jira, including reproducible steps and supporting evidence.
Continuously improve QA processes for better monitoring, reliability, and faster releases.

we are building an autonomous drone-delivery network for restaurants in suburban America. We are one of 4 companies that are FAA approved to fly over residential neighborhoods (together with Amazon, Google/Wing and Zipline) but are the only one exclusively focused on restaurants. Uber is an investor in Flytrex and we fly deliveries for Doordash as well. After thousands of successful commercial deliveries and multiple breakthrough FAA approvals, Flytrex is now expanding rapidly across the U.S., starting with Dallas Forth worth. Flytrex is revolutionizing the food delivery industry by making drone delivery a reality. We are looking for an experienced QA Engineer to join a fast-growing multidisciplinary team in our vibrant working environment in the center of Tel Aviv. This is a unique opportunity to work on the worlds leading drone delivery system and be a part of a revolution in the making. As a QA Engineer at Flytrex, you will be part of the team in charge of the quality of the companys products. Main Responsibilities:
* Performing comprehensive QA planning and coordination for multiple projects from the design stage until delivery.
* Collaborating with internal teams (Product, R&D, Field Engineering) to identify system requirements and plan a coherent TEST plan accordingly.
* Planning & developing automated tests for various components of the Flytrex system.
* Managing, analyzing, and handling support tickets that arise from the customers end.
* Creating detailed, comprehensive, and well-structured ATP, STP & STRs.
* Improving the company's products reliability levels.

You will have direct impact on all company products in all their stages from the concept stage up to the user experience.

You will no longer feel detached from the product !

Responsibilities:

Test mobile apps on iOS and Android devices.

Create detailed defect tickets to track errors to resolution.

Execute and maintain test plans to assure development that builds are ready for mass consumption.

Document issues that appear in-app in a detailed manner and work with development to fix issues as needed.

Analyze failures and collaborate with Software Developers to ensure root cause is investigated.

Contribute to analyzing the success of new features post-release, monitoring usage patterns.

We are looking for an experienced ATE Test Engineer to join our Quality and Operations team and help lead our products to a successful production launch. You will be part of a multi-geo team, collaborating with external suppliers and partners around the world.
In this role, you will develop ATE Test Programs and take full ownership of DFx definitions, evaluation, development, and debug of test methods working closely with design, component validation, systems, and other test engineering teams.
Responsibilities:
Develop Test programs (Wafers Sort and Final Test) for products
Define and co-design ATE hardware (Load Boards) and optimize High-Speed Testing methodologies (DDR and others).
Analyze and evaluate component specifications against real-world performance.
Analyze early customer returns with a focus on test hole closure activities.
Support yield optimization and debug initiatives.
Drive DFx support - including definitions, evaluation, development, and debug of test methods.
Collaborate cross-functionally with design, component validation, and systems engineering teams.

we are looking for a CI and Automation Engineer.
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.
Responsibilities:
Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

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.

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.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior QA Automation Engineer - GenAI Endpoint Security, you will build and maintain robust automated test suites in Python and Node.js while performing strategic manual QA for the Sensors team. You will ensure the bulletproof quality of endpoint agents and browser extensions designed to secure the industrys leading Generative AI tools. By validating seamless compatibility and testing software distribution across various MDMs, you will provide comprehensive coverage for the critical components protecting the modern AI-driven enterprise.
What will you Do?
Build and maintain automated tests across APIs, endpoint agents, and browser extensions
Validate Generative AI application compatibility with our security products
Perform manual QA with a clear, automation-first mindset
Test our software distribution across MDMs
Ensure strong coverage of critical components and close testing gaps
Work closely with development to continuously improve product quality and delivery.

We are seeking talented Junior QA Engineer to join our Tel-Aviv R&D team, with a focus on the companys StorageGuard product line.

What Youll Do:
Be involved in all stages of development: from brainstorming, planning, testing, and up to production.
Work closely with engineering and product teams.
Develop test scenarios, write test plans, and test cases.
Perform manual testing across a wide variety of environments.
Write automated tests using in-house test tools.
Identify and reproduce bugs.
Provide feedback on product quality and user experience.
Set up and maintain test environments.

Required People Infrastructure Lead (Systems, Data & Compensation)
About The Position
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.