לוח משרות דרושים Senior QA Automation Engineer בתל אביב יפו, לחיפוש זה נמצאו 6 משרות

Were looking for an experienced Automation Engineer to join our QA Automation team and help shape the future of quality at Dream. 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.

We are looking for a brilliant, curious, creative, and fun-loving Senior Automation Engineer with a passion for excellence and collaboration. Youll also be ready to take on a huge challenge of building and testing our applications, APIs, computation engine and financial platform! We are looking for an individual who is comfortable and excited about taking ownership and driving initiatives from beginning to end and is not afraid of anything (in tech :P). If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
Responsibilities:
Design and develop our manual testing and automation processes, tools and infrastructure
Be part of our core engineering team developing our services and system architecture
Take significant part of the testing & quality assurance processes wide and ensure that quality is built into every step of the development life-cycle using the latest technologies and overcoming limitations
Help define and drive our best practices and frameworks
Work closely with the product team to define the testing strategy and incorporate it in our program plans and roadmap, execute the testing plans and be the advocate for benefits of QA & automation
Influence design decisions, architectures, select/evaluate tools, and enforce a quality-based approach.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are looking to hire a Senior QA Automation Engineer to join our team at this exciting stage of our companys growth. What You’ll Do Architect & Build: Lead the design of automation frameworks focusing on Component Testing and E2E flows Cloud Integration: Orchestrate automated test environments that deploy our services onto AWS using Docker (and ideally K8s Pipeline Ownership: Fully integrate test suites into our GitHub Actions CI/CD pipelines. Strategy & Mentorship: Create comprehensive test plans and mentor junior/mid-level team members on automation best practices. API Excellence: Maintain and expand our Rest Assured API automation suite.

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.