דרושים » אבטחת איכות QA » Head of QA

We are seeking a highly motivated QA Team Lead to join our team.

What will you do?

Own quality end-to-end across all Sidelines products: web and mobile applications, backend services, cross-platform integrations within partner sites, tracking/attribution systems, and large-scale data flows.

Define and execute the QA strategy: regression coverage, release gates, risk management and production validation.

Design, build and evolve the automation infrastructure, expanding coverage across frontend, backend and system-level flows.

Work closely with Engineering and DevOps on CI/CD, deployments, environments and release stability.

Translate product requirements into structured, testable tasks and proactively identify gaps, edge cases and risks.

Lead and mentor the QA team while remaining highly hands-on (70%).

Make both technical and managerial decisions regarding quality standards, tooling and release readiness.

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 companys 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 seeking a motivated Senior Automation Engineer to join our Prisma Browser QA group. In this role, you will design, develop, and execute automated End-to-End (E2E) system tests for a cutting-edge enterprise browser. You will be instrumental in enhancing our product quality by maintaining complex automation suites and adopting modern methodologies, including AI-driven testing, to accelerate our development, test, and release cycles.
Key Responsibilities
Design and develop automated tests for new features, covering both UI and backend flows with end-to-end ownership.
Leverage AI capabilities and Large Language Models (LLMs) to optimize test generation, analyze failure patterns, and enhance QA process efficiency.
Build and maintain tools and frameworks that improve the developer experience and enable faster feedback loops within the CI/CD integration.
Maintain and evolve a complex automation infrastructure to support comprehensive cross-browser and cross-OS testing.
Debug existing tests to improve stability, enhance runtime efficiency, and perform deep analysis of nightly test runs to ensure product quality.
Proactively collaborate with development and other QA team members to ensure alignment on test strategies and quality standards.

We are looking for a top-notch Senior Automation Engineer to drive our test efforts and automation infrastructure. You will be in charge of, first and foremost, product quality and design.
You will plan and execute required quality assurance tests, develop automation tests and the necessary infrastructure, and deploy to all known cloud providers using Python, working closely with the development team to address any issues that arise. Additionally, you will be involved in developing test infrastructure for Unit-Tests, Integration-Tests, and more, while providing the infrastructure as a service to the dev teams. The job is deeply hands-on and requires a deep understanding of the product, and the environments it runs.
Your Impact
Work closely with our engineering teams to understand business requirements
Own and develop test infrastructure used by dev teams, while providing them with guidance and assistance for using it
Design, plan and implement automatic tests for our critical business paths
Own and adjust our UI testing framework to support dev teams which are using it to develop end-to-end tests
Own and improve peripheral tools for our quality efforts, such as reporting, investigation etc.
Identifying, reporting, documenting and tracking defect/bug issues
Investigate, analyze and find the root causes for failed systems and software
Ability to effectively communicate with all levels of the organization
Excellent verbal and written communication skills.

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 develop advanced AI technologies that transform in-store shopping experiences, helping retailers optimize operations, enhance customer engagement, and drive growth. Our products harness computer vision, real-time data analytics, and powerful AI models to provide seamless, innovative solutions tailored to the needs of modern grocery and retail chains worldwide.

Based in Tel Aviv, we are deployed in major grocery brands globally and employ some of the brightest minds in AI and Computer Vision.

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

We're looking for an Automation Engineer to join the Agen team. You'll own our testing infrastructure and help us move fast without breaking things. This is a hands-on role where you'll design, build, and maintain automated testing across our entire stack.
What You'll Do:
Test Automation (60%)
Build and maintain Playwright test suites for our MCP Gateway
Write integration tests for OAuth flows, policy enforcement, and API proxying
Create automated E2E tests for our React-based admin portal and marketplace
Develop contract tests for our MCP protocol implementations
Build performance/load testing infrastructure for concurrent AI agent connections
CI/CD & Infrastructure (25%)
Extend and maintain our GitHub Actions workflows for faster, more reliable deployments
Set up test environments that mirror production (AWS, MongoDB, MySQL)
Build automated smoke tests for multi-region deployments (US, EU, AU, CA, UK)
Create alerting and monitoring for test failures and regressions
Quality Advocacy (15%)
Partner with developers to write testable code from the start
Review PRs with a testing mindset - catch what automated tests might miss
Document testing patterns and best practices for the team
Identify gaps in test coverage and prioritize what to automate next

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

we are looking for a Software Architect.
The Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.
Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.
Key Responsibilities:
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.