דרושים » הנדסה » TEST & Product Engineer עבור חברת הייטק גלובלית באזור השרון

We are looking for a proactive and dedicated Automation Engineer who will take full ownership of the overall quality and reliability of our software releases.
In this role, you won't just write automation testsyou'll actively ensure our product meets the highest standards end-to-end, from test planning and creation through deployment and validation in production.
Responsibilities :
Design, develop, and maintain automated test frameworks and scripts to ensure product reliability.
Take full ownership of the testing lifecycle, from test planning and execution to analyzing results and ensuring issues are resolved promptly.
Collaborate closely with developers, product managers, and DevOps teams to identify quality risks and gaps, ensuring comprehensive test coverage.
Monitor, investigate, and drive resolution of failures and anomalies in automated tests and production environments.
Continuously improve test strategies, frameworks, and processes to optimize efficiency, speed, and test coverage.
Provide clear, actionable feedback to development teams on product quality and potential improvements.
Document testing processes, plans, and guidelines clearly for knowledge sharing across the team.

We are seeking a talented QA Engineer to help ensure top product quality in our rapidly growing company. You will be focused on testing our core product, conducting end-to-end testing across various technologies, along with our proprietary AR and AI solutions.

Responsibilities:

Develop comprehensive test plans and test cases focused on both backend and frontend features to ensure product quality across the stack.

Take primary responsibility for querying data, testing backend and frontend data changes, and ensuring data integrity, performance, and UI functionality.

Lead efforts to identify, document, and troubleshoot errors in both backend and frontend areas, providing detailed analysis and potential solutions.

Collaborate closely with Development, Product, and other teams to clarify specifications, address issues/concerns, and identify risks throughout the software development life cycle, ensuring alignment across backend and frontend requirements and dependencies.

Actively contribute to a scrum team, working with developers, DevOps, and Product teams to ensure comprehensive testing coverage.

Lead the QA effort in sprint planning and retrospectives, providing insights into backend and frontend testing considerations.

Develop, apply, and maintain manual and automation scripts for both backend and frontend testing of new and existing products, with a focus on enhancing full-stack test automation.

Continuously update and refine testing methodologies, tools, and processes to improve testing effectiveness across backend and frontend technologies and practices.

Familiarity and practical experience using AI tools for testing

We are seeking an 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.