דרושים » תוכנה » Quality & Evaluation Engineer - GenAI Innovation Team

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.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems - designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities:
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

We are looking for a bright, talented Senior DevEx Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. This role is focused on development flow productivity and building application infrastructures and tools to handle the challenges of hyper-growth and application scale.
You will design, implement, and deploy products and infrastructures that directly increase our stability and quality while reducing our time to market.
What You Will Do:
Developer Platforms: Design and develop solution-oriented enterprise DevOps platforms and tools to improve the developer experience.
Velocity & Quality: Create solutions to increase R&D velocity, reduce lead time, and improve overall product quality.
SaaS Infrastructure: Plan, design, and develop company's SaaS infrastructure, operation engine, and deployment strategy.
CI/CD & Security: Develop and adopt new technologies to improve CI/CD pipelines, utilizing a DevSecOps "shift left" approach to introduce security early in the cycle.
Troubleshooting: Perform platform and service troubleshooting across various applications, domains, and platforms.

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.

We are looking for a QA Automation Engineer to join our Viewer team and help ensure the reliability, scalability, and performance of our web applications. In this role, you will design and maintain automation frameworks, develop end-to-end tests, and proactively identify issues before they impact our users. You will also be responsible for production releases and managing production bugs, ensuring smooth deployments and quick resolution of critical issues. This position requires strong technical expertise, self-management, and excellent communication skills to collaborate effectively across teams.
Key Responsibilities:
Design and maintain robust test automation frameworks using JavaScript/TypeScript.
Develop and execute automated tests leveraging tools such as Playwright, Selenium, or Cypress.
Collaborate with developers, product managers, and designers to embed quality throughout the development lifecycle.
Debug complex issues using browser DevTools, network logs, and other diagnostic tools.
Integrate automated tests into CI/CD pipelines in partnership with DevOps and engineering teams.
Drive quality initiatives by identifying gaps and proposing improvements in testing processes.

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.

Mobileye is looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of Mobileye while collaborating with OS development teams and architects

What will your job look like:

Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.
All you need is:

We are looking for a passionate and experienced QA Integration Tech Lead to take ownership of quality across companys products and to lead QA team efforts from both technical and managerial perspectives. As a senior, hands-on QA Integration Team Lead, you will lead the technical direction of a Team, shape testing methodologies, and ensure the reliability and quality of software-hardware integrated system features using manual and automation testing powered by AI.

You will excel in a fast-moving environment with evolving priorities, maintaining excellence, accountability, and strong collaboration with multidisciplinary teams across the R&D department in Agile methodologies.

What you will do
Lead and mentor a team of SW/ HW/ RF Integration engineers
Perform hands-on manual/ automation testing of complex SW-HW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to final deployment on the customer side
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality
Manage and operate QA labs, including Traffic Generators, Satellite emulators, RF equipment, and more, while supporting off-shore teams remotely

At our company, we are reinventing Identity Security and Identity Governance. Join us to build a world-class solution with a simple and intuitive user experience that stands apart from the complex products in the IT & Security space.
The connector team is responsible for delivering on the mission that our company IGA can connect to anything. Connectors are the foundation of all modern IGA programs. Customers have hundreds of different applications in their environment with a daunting amount of complexity. Our platform handles this complexity to support hundreds of out of the box connectors for SaaS applications, on-prem applications and custom applications. Join the connector team to execute connectors at scale and help customers build connectors at scale by leveraging no-code, low-code and AI based vibe-coding.
We are looking for engineering manager who thinks creatively and is great at execution to lead a full-stack engineering team.
As an engineering manager, you will take a major role in expanding IGA to the large enterprise scale and lead, mentor, and build a team that will take one of the core activities of IGA

We are the Platform Engineering DevEx group, the engineering force responsible for the internal developer platform. We are evolving from a generalist model to specialized pillars, and we are looking for a Python-centric Platform Engineer to join a Developer Experience team.
In this role, you won't just "support" developers-you will build the products they use every day. You will treat our internal platform as a SaaS product, focusing on the "Frontend of DevOps": Self-Service Portals, Automations, and DORA Metrics.
Job Description
What You Will Do
Champion the Internal Developer Portal (IDP): Lead the architecture and development of our IDP. You will build the central hub where R&D teams interact with our infrastructure, transforming complex cloud operations into intuitive UI experiences.
Engineer the "Golden Path": Design and implement self-service backend logic using Python and APIs. You will write the plugins that allow developers to scaffold new microservices, provision cloud resources, and manage permissions without waiting for Ops tickets.
Drive Engineering Insights (DORA & Scorecards): Go beyond basic logging by building "Service Maturity Scorecards." You will aggregate data from GitHub, Jira, and Artifactory to visualize DORA metrics (Deployment Frequency, Lead Time, etc.), giving leadership and teams actionable data on their velocity and quality.
Architect Resilient Ecosystem Integrations: Write production-grade, testable Python code to "glue" our toolchain together (Kubernetes, GitHub, LaunchDarkly, Artifactory). You will replace manual "TicketOps" with event-driven automation that runs silently in the background.
Treat the Platform as a Product: Collaborate directly with R&D teams to identify friction points in their daily workflows. You will gather feedback, prioritize features, and drive the internal adoption of the tools you build to ensure they solve real user problems.