לוח משרות דרושים QA אוטומציה משרה מלאה

We are looking for a QA & Automation Engineer to take ownership of quality across our embedded and hardware-integrated products.
This role combines hands-on system validation with building scalable test automation to ensure reliability from firmware to full device operation.
Responsibilities
Define and execute end-to-end test plans for embedded systems and connected devices
Design and implement automated test frameworks to improve coverage and efficiency
Validate firmware behavior, communication protocols, and system-level performance
Collaborate closely with firmware, hardware, and software teams to debug and resolve issues
Integrate automated testing into CI/CD pipelines and release processes
Drive continuous improvement of QA methodologies, tools, and best practices

As a Marketing AI & Automation Architect, you will help design and build the systems, workflows, and tools that enable this transformation. You will partner closely with teams across Marketing and Revenue Operations to identify opportunities where AI can unlock scale, accelerate campaign execution, improve insights, and streamline how work gets done. From early campaign ideation to operational execution, you will translate marketing needs into practical AI-powered solutions.

This is a hands-on creator role, which sits at the intersection of marketing strategy, technology, and AI engineering. You will design and build AI-powered workflows, agents, and integrations that connect our marketing tools, data, and processes into a smarter, more scalable system. Your work will help marketers focus more on strategy, creativity, and growth, while AI supports research, execution, and operational scale.

What You'll Own:
Partner with Marketing teams to identify opportunities where AI can accelerate work, improve insights, and scale campaign execution.
Design and build AI-powered marketing workflows including AI automations, agents, and workflows that support key marketing activities such as research, content development, campaign planning, outreach preparation, and performance analysis.
Integrate AI into our Marketing technology ecosystem, connecting AI solutions to core systems including Salesforce, Monday, marketing automation platforms, and data tools using APIs, webhooks, and automation platforms.
Develop scalable, repeatable AI systems and workflows that enable teams to execute campaigns, generate insights, and produce content more efficiently.
Implement monitoring, guardrails, and data quality processes to ensure AI systems are reliable, responsible, and scalable.
Help teams incorporate AI tools and workflows into their daily work and act as a trusted advisor on how to use AI effectively.

We are looking for a strong and reliable QA Engineer with experience in both web and mobile testing to join our QA team. This role offers a high level of responsibility, independence, and ownership, requiring you to deeply understand complex systems and ensure high product quality. You will be working with cutting-edge technology, testing a mobile application controlling drones and cloud applications involving 3D models, maps, and images
Key Responsibilities
Mobile & Field Ownership: Execute tests on a mobile application that controls drones, including hands-on testing in real field environments.
Complex System Testing: Perform manual testing for web and cloud applications involving 3D models, maps, and images.
End-to-End Quality: Take ownership of testing tasks, support the release process end-to-end, and actively contribute to quality throughout the entire development lifecycle.
Documentation & Analysis: Create and maintain clear, structured test plans and test cases based on product requirements. Write clear STP, STD, and STR documentation.
Collaboration: Work closely with developers and product teams to validate fixes, analyze results, and provide clear, high-quality bug reports.

We are redefining the travel industry with a truly autonomous platform powered by proprietary Agentic AI. As an Automation Engineer, youll play an essential part in building and scaling the testing infrastructure that validates our mission-critical AI workflows. This is a high-scale environment where you will use Cypress to solve unique challenges in autonomous decision-making, collaborating globally to deliver a platform trusted by major enterprises.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.

We are looking for an experienced AI Automation Expert who will design, build, and maintain advanced AI driven workflows, internal agents, and process automations across the organization. The ideal candidate has hands on experience with automation platforms such as n8n, Zapier or Make, strong technical understanding of modern AI models and APIs, and a proven record of translating business needs into scalable automated solutions.

This position plays a central role in our digital transformation efforts. You will be a partner with operations, support, engineering, and business leadership to streamline processes, reduce manual workload, and accelerate delivery through smart automation.

Responsibilities

AI and Automation Architecture

Design and implement AI powered automations, including conversational agents, workflow orchestrations, and custom business logic.

Build and maintain automations using n8n, Flowgrammers, and similar workflow tools.

Create structured agent architectures using LLMs, vector databases, and contextual memory.

Develop and maintain reusable automation components and templates.

Process Design and Optimization

Map and analyze existing processes together with relevant stakeholders.

Identify opportunities for automation and propose clear technical solutions.

Implement end to end workflows from data ingestion to final output and quality control.

Ensure security, reliability, and compliance in all automated processes.

Systems Integration:

Connect internal systems such as CRM, ERP, customer support tools, databases, and cloud platforms to automation workflows.

Integrate external APIs including OpenAI, Azure OpenAI, Google Cloud, or vendor specific APIs.

Build bridges between systems that were not originally designed to work together.

AI Agent Development:

Design and deploy specialized agents for operations, sales, customer support, and engineering teams.

Implement context awareness, memory persistence, and custom tool calling for agents.

Optimize agent performance, latency, and accuracy.

Monitoring and Maintenance

Create dashboards and alerting for workflow health and performance.

Troubleshoot failures, scalability issues, and data inconsistencies.

Continuously improve existing automations based on usage and feedback.

We are looking to hire a QA Automation Engineer to join our team at this exciting stage of our companys growth.

Join us as a QA Automation Engineer to conduct automated quality tests in a customer environment.

This role follows a hybrid model, involving being present at our Madrid site three times a week, along with occasional travel to our customers' premises in Madrid.

Responsibilities
Perform E-2-E solution testing on testing and production environments.

Development of quality assurance and testing policies, standards, and procedures for the solution deployed for the customer.
Work with project stakeholders to determine the appropriate quality initiatives to implement during system development life cycles.
Conduct tests and analyze results to ensure that software meets or exceeds specified standards and/or client and technical requirements.
Coordinate and manage planning of system and/or acceptance tests within a development or integration project.
Build and deploy test pipelines and test processes in the CI/CD environment
Develop smart, stable, and clean code using Python and more - BE & FE tests with various tools
Take part in defining quality processes and standards to meet the company's quality vision
Work in an agile environment, a fast and challenging company with constant learning

Required QA Automation Engineer
The QA Automation Engineer will help to continuously improve the quality, reliability and end-user experience of various solutions delivered by our development team. Also, you will help efficiently deliver high-quality solutions to end users through the use of modern quality methodologies and test automation technologies combined with a streamlined release process. The individual must be forward-thinking and share in a common vision of quality, integrity and efficiency.
Responsibilities;
Define, write, maintain & perform manual & automated tests of multiple APIs, UIs & Web services for functionality, correctness and reliability
Maintain, expand and create automation solutions
Create, maintain and execute test, bug, story & other sprint board items in Azure DevOps
Analyze and understand functional and technical requirements to devise Test cases/Test scenarios that fully meets the testing scope to satisfy business/user/system requirements
Ensure prerequisites for testing are fully prepared, test data and test environment setup/configurations
Identify and log bugs during the Software Development life cycle till release to Production
Perform root cause analysis of the bugs and collaborate with the development team to resolve and test them
Work closely with the Support team to investigate and test customer and/or production issues.
Work with your lead on improving QA processes and practices and adhering to them to ensure that quality assurance standards are met.

We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.
What Youll Do:
Data Quality & Validation:
Design and execute data validation strategies for large-scale batch and streaming pipelines
Ensure data correctness, completeness, freshness, and consistency across the data lake
Define and automate checks for schema changes, data drift, and data quality regressions
Performance & Scalability Testing:
Plan and execute performance and scalability tests for data pipelines and processing jobs
Identify bottlenecks across ingestion, transformation, and querying layers
Partner with engineers to validate performance improvements and prevent regressions
Automation & Infrastructure:
Develop and maintain the data teams QA automation infrastructure
Build reusable testing frameworks and tools tailored for large datasets and pipelines
Integrate automated tests into CI/CD pipelines and production monitoring workflows
Collaboration & Ownership:
Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck
Participate in design discussions to ensure testability and observability are built in from the start
Quality Mindset & Communication:
Champion a quality-first culture within the team
Clearly communicate risks, findings, and quality metrics to technical stakeholders
Balance thoroughness with pragmatism in fast-moving, high-scale environments.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. Responsibilities:
* End-to-End responsibility of development process: from requirements till implementation including post-release support
* Design, Development and Integration of C# based code modules
* Close work with the rest of Q&R team on mutual projects
* Software Development of automated hardware tests, drivers, protocols
* Working on new projects as well as supporting existing ones
* Production issues support and failures analysis


Country:
Israel

City:
Herzliya