דרושים » תוכנה » ארכיטקט /ית אוטומציה ואינטגרציה מנוסה (משרה חלקית עם אפשרות להרחבה)

We are looking for a Senior QA Architect to join our elite team, contributing to the development of one of our new strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, executing both manual and automated tests, and leading the team to achieve better quality. You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability.
Responsibilities:
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes within a full-stack SaaS team, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.

As QA Architect, you will be collaborating with an individual SaaS development team, that uses the latest technologies in continuous delivery to secure the top enterprises in the world. You will serve as the QA architect in the R&D team, committed to the quality of the released content and define QA work procedures, guidelines, and design the entire testing process.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Develop and maintain expertise in the creation and deployment of fully integrated environments
Define, implement, and manage QA processes, including the specification of required test plans and procedures.
Actively track the teams tasks, conduct testing of features during development to ensure adherence to specifications and quality standards.
Perform efficient log analysis and reproduce customer issues quickly to facilitate timely resolution.
Analyze and challenge existing testing coverage
Implement automation tests for new features and coverage gaps
Maintain and prioritize backlogs of open issues and bugs, ensuring effective tracking and resolution.
Monitor the test and production environments, using DevOps tools.

Required Staff Data Architect
We are looking for an experienced and visionary Staff Data Architect to play a critical role in defining and shaping the data architecture for our flagship investigative analytics platform. In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations.
You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms.
As our Data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both real-time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.
Responsibilities:
Own the Data Vision: Take ownership of the data architecture, including our data lake, data warehouse, and ETL/ELT pipelines, to support our product teams and business intelligence.
Cost Optimization & Scalability: Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend.
Product-Centric Collaboration: Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation.
Design & Governance: Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are embedded into every product.
Standardization & Enablement: Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams.
Technology Evolution: Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms.
Documentation & Mentorship: Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.

We are seeking a talented and experienced Software/System Architect to join our dynamic team. As a System Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient solutions. You will work closely with cross-functional teams, analyze requirements, design solutions and offer technical guidance, ensuring successful development and integration of the end-to-end solution.
Responsibilities:
Design high-availability, fault-tolerant, and scalable distributed systems using microservices, event-driven patterns, and best-practice architectural principles.
Analyze and understand business requirements to create system specifications.
Lead design reviews, evaluate technical proposals, and validate architecture compliance across teams.
Define and maintain system architecture diagrams, including component, sequence and data flow diagrams.
Collaborate with development teams to guide the implementation of the solution
Ensure alignment of technical solutions with business goals and industry best practices.
Oversee system integration, troubleshoot issues, and provide architecture support as needed.
Conduct regular system reviews to identify areas for improvement and optimization.
Collaborate effectively with multiple stakeholders such as product management, professional services, sales, development and production support.

Position Overview
We are looking for an experienced and visionary Staff data Architect to play a critical role in defining and shaping the data architecture for Cellebrites flagship investigative analytics platform. In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations. You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms. As our data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both Real-Time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.



?Responsibilities
Own the data Vision: Take ownership of the data architecture, including our data lake, data warehouse, and ETL /ELT pipelines, to support our product teams and business intelligence. Cost Optimization & Scalability: Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend. Product-Centric Collaboration: Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation. Design & Governance: Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are Embedded into every product. Standardization & Enablement: Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams. Technology Evolution: Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms. Documentation & Mentorship: Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.

Office Location:
Petah Tikva