דרושים » הנדסה » QA Automation Engineer

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 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.

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.

We are looking for an Automation Infrastructure Developer who will focus on building automation services, frameworks, and tooling that support large-scale validation workflows.
What will your job look like:
Design, develop and maintain automation infrastructure, internal services, and shared libraries
Develop robust test frameworks and enable write reliable automated tests efficiently
Build tools and pipelines that improve test execution, data processing, logging, and reporting
Collaborate closely with algorithm developers, system engineers, and validation teams to integrate automation solutions into complex environments
Analyze system behavior, identify gaps and bottlenecks, and propose technical solutions
Troubleshoot and resolve issues in automation services, framework stability, and performance

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 .

ourImaging Radar group is seeking a talented individual to join our team as a Automation Engineer & Integration Specialist.
This multifaceted role requires expertise in DevOps practices, integration technologies, release management, IT and lab support, as well as proficiency in developing automation solutions.
The ideal candidate will have a strong technical background coupled with a proactive mindset to drive efficiency and reliability across our systems and processes
What will your job look like:
Automate provisioning, configuration, and deployment processes to increase efficiency and scalability
Manage infrastructure as code using tools like Ansible, Kubernetes or similar technologies
Design, implement, and maintain CI/CD pipelines to automate software delivery processes
Collaborate with development and validation teams and troubleshoot integration issues
Coordinate software releases and deployments across development, testing, and production environments
Provide technical support for IT infrastructure, including servers, and developers workstations
Troubleshoot hardware-related issues

We are looking for an AI Quality & Evaluation Engineer to own the quality planning and execution of an AI-powered chat application operating over complex law enforcement and mobile device data.
This is a highly hands-on role focused on execution rather than high-level QA strategy. You will design, build, and run automated and semi-automated tests for LLM-driven workflows, create evaluation datasets, and continuously stress the system with realistic and extreme investigative scenarios.
What you will be doing:
Design, plan, and execute quality tests for an AI chat application built on LLMs and investigative data.
Build and maintain automation frameworks for prompt regression testing, multi-turn conversations, and model upgrades.
Create and curate evaluation datasets used for regression testing, benchmarking, and model comparison.
Design complex investigative scenarios including ambiguous, incomplete, or conflicting datasets.
Execute manual exploratory testing to uncover hallucinations, reasoning failures, and edge cases.
Work closely with engineering, product, and data teams as part of the development lifecycle.
Validate release readiness and identify regressions related to prompts, models, or data pipelines.
What makes this role different:
You are evaluating AI behavior rather than fixed expected outputs.
You help define what correctness and quality mean for AI reasoning over sensitive data.
You actively invent scenarios to stretch and break the system.
Your work directly impacts trust, reliability, and investigative confidence.

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.

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.

We are seeking a DevOps Engineer to design, deploy, and operate large-scale Kubernetes platforms across cloud (Azure AKS) and on-premises (Red Hat OpenShift) environments. This role focuses on building and maintaining secure, highly available, and scalable production systems supporting mission-critical workloads across multiple geographic regions. The ideal candidate is hands-on, automation-driven, and experienced in production Kubernetes operations, Infrastructure as Code, and CI/CD platforms, with a strong emphasis on reliability, security, and operational excellence.
Responsibilities:

* Design, deploy, and operate production Kubernetes clusters (Azure AKS and Red Hat OpenShift)
* Own the end-to-end platform lifecycle, including provisioning, upgrades, scaling, and hardening
* Implement and maintain Infrastructure as Code using Terraform
* Design and operate CI/CD and GitOps pipelines using Azure DevOps and related tooling
* Manage Kubernetes application deployments using Helm and Git-based workflows
* Ensure platform observability using Prometheus, Grafana, and ELK/EFK
* Troubleshoot complex production issues, perform root cause analysis, and implement preventive improvements
* Define and maintain runbooks, operational procedures, and SLA-driven workflows
* Collaborate with development, security, and operations teams across regions
* Design, deploy, and operate production-grade databases within Kubernetes, with hands-on experience in at least two of the following technologies:
* PostgreSQL, MongoDB, Elasticsearch, Redis, Prometheus
* Understanding of networking and Security