דרושים » אבטחת איכות QA » דרוש /ה מבקר /ת איכות לתהליך הייצור בחברה טכנולוגית מובילה ביהוד /כוכב יאיר! 2 תקנים

We are looking for a Senior AI Software Engineer to join our R&D group and help design and implement our next-generation AI-driven data and intelligence platform.
This role is ideal for a senior engineer who thrives at the intersection of software engineering, data pipelines, and applied AI someone who can bridge solid backend foundations with practical experience in modern AI systems.
Youll lead efforts to integrate and operationalize existing open-source and commercial AI models, evaluate their performance, and optimize their cost and accuracy in production environments.
What Youll Do:
Design and build scalable data pipelines to gather, prepare, and serve data for AI workflows including evaluation, fine-tuning, and retrieval pipelines.
Integrate and operationalize LLMs and multimodal models, focusing on applying and adapting existing open-source or commercial models rather than building from scratch.
Conduct error analysis, model evaluation, and cost/performance optimization to ensure production readiness and efficiency.
Develop and maintain backend services (primarily in Java and Python) that power AI-driven features and automate data processing.
Implement retrieval-augmented generation (RAG) and information retrieval pipelines to enhance system intelligence.
Apply prompt engineering, validation, and A/B testing to improve system output quality.
Collaborate with product and engineering teams to turn AI capabilities into end-user features with measurable impact.
Stay current with emerging AI trends and tools, driving innovation and adoption across the company.

We are seeking a Senior Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the worlds largest financial institutions in the fight against financial crime.
Youll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, youll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.
How will you make an impact?
Design, develop, and maintain automated tests for backend systems and data pipelines.
Implement and manage a scalable testing framework to support continuous integration and delivery.
Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
Collaborate with developers and product managers to understand system architecture and business requirements.
Participate in requirements analysis, technical reviews, and test planning.
Identify, document, and track defects, drive resolution with development teams.
Monitor production environments, investigate anomalies, and push for timely fixes.
Ensure data health and correctness across systems.
Continuously improve QA processes, tools, and best practices.
Advocate for quality across the development lifecycle.

LiveU is looking for a talented QA Automation Engineer! You will work closely with cutting-edge technology in a fun and dynamic environment, joining a team that develops test automation for embedded devices, cloud machines, API requests, performance testing, and integration tests.
About LiveU LiveU is driving the live video revolution, providing live video streaming for TV, mobile, online and social media. Let your audience become part of your story with high-quality and flawless live video, transmitted from anywhere in the world, using our patented bonding and video transport technology. LiveU provides a consistent bandwidth and a reliable connection, enabling you to acquire, manage, and distribute high-quality remote live broadcasts. Responsibilities
* Responsible for writing tests in Python for video quality testing for all LiveU's products
* Write/Design automation tests in Python
* Help to achieve a full transition of the manual testing environment to the automated testing environment
* Develop performance and integration tests for critical systems
* Identify, report, and track software bugs
* Work closely with development, product, project, and QA teams to ensure product quality

We are looking for a Junior Validation Engineer to test the Machine Learning systems and the logics encapsulating them.
What will you do?
Reach validation of the Computer Vision algorithms and evaluate their performance under different environmental conditions.
Write test plans.
Create automation tools.
Perform manual testing and compare versions visually (side-by-side screenshots).

We are looking for a highly skilled Senior Developer Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

We are seeking a highly skilled and motivated Team Leader Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contributionmentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.