דרושים » ניהול ביניים » senior infrastructure and automation engineer

We are seeking a motivated Senior Automation Engineer to join our Prisma Browser QA group. In this role, you will design, develop, and execute automated End-to-End (E2E) system tests for a cutting-edge enterprise browser. You will be instrumental in enhancing our product quality by maintaining complex automation suites and adopting modern methodologies, including AI-driven testing, to accelerate our development, test, and release cycles.
Key Responsibilities
Design and develop automated tests for new features, covering both UI and backend flows with end-to-end ownership.
Leverage AI capabilities and Large Language Models (LLMs) to optimize test generation, analyze failure patterns, and enhance QA process efficiency.
Build and maintain tools and frameworks that improve the developer experience and enable faster feedback loops within the CI/CD integration.
Maintain and evolve a complex automation infrastructure to support comprehensive cross-browser and cross-OS testing.
Debug existing tests to improve stability, enhance runtime efficiency, and perform deep analysis of nightly test runs to ensure product quality.
Proactively collaborate with development and other QA team members to ensure alignment on test strategies and quality standards.

We are looking for an Experienced QA Automation Team Lead with a strong background in designing, developing, and maintaining scalable test automation infrastructures.
Job Id: 24548
Skilled in Python-based test development, modern automation frameworks, API testing, and Playwright for UI automation. Demonstrated ability to lead technical initiatives, guide automation strategy, and integrate innovative testing approaches - including leveraging AI models for intelligent validation, test optimization, and automation tooling. Adept at collaborating across engineering, product, and DevOps teams to improve quality, accelerate releases, and ensure robust system reliability.
Key Responsibilities
Automation Architecture & Infrastructure:
Design, develop, and maintain a scalable automation framework using Python, aligned with product architecture and CI/CD pipelines.
Lead the creation of reusable libraries, tools, and test utilities to improve automation efficiency.
Evaluate and integrate new technologies, including AI-assisted test generation, model-based testing, and intelligent failure analysis.
Establish best practices for code structure, version control, and test maintainability.
Test Development & Execution:
Build and maintain automated test suites for UI, API, backend, and integration layers.
Implement end-to-end UI automation using Playwright, focusing on reliability and parallel execution.
Develop robust API tests using Python-based tools (e.g., pytest, requests, FastAPI test helpers).
Ensure broad test coverage across functional, regression, performance, and security areas.
Quality Leadership & Strategy:
Define the overall automation strategy and ensure its alignment with organizational quality goals.
Lead and mentor QA engineers, providing guidance in Python development, test design, and automation best practices.
Collaborate with product, development, and DevOps teams to refine acceptance criteria and testing standards.
Drive shift-left testing practices and promote automation as a core part of the development lifecycle.
CI/CD & DevOps Collaboration:
Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Work closely with DevOps to enable test environments, containerized executions, and scalable cloud-based test farms.
Introduce quality gates and automated blockers to reduce defect leakage and speed up delivery.
AI-enhanced Testing & Innovation:
Utilize AI models to enhance test creation, anomaly detection, log analysis, and flakiness reduction.
Develop internal tools using AI for automated test maintenance and failure triage.
Experiment with LLM-driven testing strategies (e.g., agentic testing flows, AI-driven mock generation).

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 Orcas 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.

Were looking for a highly motivated and experienced automation engineer with a strong passion for quality and performance.
Job Id: 24550
If youre passionate about quality and efficiency, then join our team. You will play an important part in Harmony SASEs product development process. You will create and implement strategy for quality coordination and automation testing, as well as suggesting solutions to identified quality problems.
You will also be responsible for designing, developing, and executing performance testing strategies for our cybersecurity solutions to ensure optimal performance and scalability. You will collaborate with development teams to identify performance requirements for new features and releases, and work with them to ensure that performance issues are addressed before they impact our customers. The successful candidate will have a strong technical automation background, experience with performance testing tools and methodologies, and a passion for delivering high-quality software. If you're a self-starter who is eager to learn and take on new challenges, we encourage you to apply.
Key Responsibilities
Create and maintain automation frameworks for the R&D products
Design, automate and implement test cases for a variety of products, using the latest technologies on the market
Develop and apply integrated testing processes for new and existing products, using the latest tools and technology
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
Use different testing techniques and test-driven development strategies
Work hand-in-hand with manual QA to learn about the system and find ways to improve the automation flows
Creating testing tools to improve our QA capabilities
Build load and performance testing frameworks
Identify key KPIs for product quality
Challenge our methodologies and tools and strive to continuously improve
Monitor and analyze performance metrics to proactively identify potential issues
Experience with working and configure monitoring tools such as DataDog Grafana Etc.

Were looking for a Senior QA Automation Engineer to join our Sensors team and ensure the quality of cutting-edge endpoint agents and browser extensions that inspect, analyze, and secure Generative AI traffic.
This role combines hands-on manual testing, strong test automation, and work with leading Generative AI apps. Over time, youll drive automation deep enough to minimize non-automatic testing and eliminate it wherever possible.
What will you Do?
Build and maintain automated tests across APIs, endpoint agents, and browser extensions
Validate Generative AI application compatibility with our security products
Perform manual QA with a clear, automation-first mindset
Test our software distribution across MDMs
Ensure strong coverage of critical components and close testing gaps
Work closely with development to continuously improve product quality and delivery

We are redefining the travel industry with a truly autonomous platform powered by proprietary Agentic AI. As an Automation Engineer, youll play an essential part in building and scaling the testing infrastructure that validates our mission-critical AI workflows. This is a high-scale environment where you will use Cypress to solve unique challenges in autonomous decision-making, collaborating globally to deliver a platform trusted by major enterprises.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.

We are seeking a hands-on Director of Tech Ops to own and evolve our backend platforms, data infrastructure, DevOps, security, and internal IT operations.
This role is foundational to our ability to securely build, train, validate, and operate state-of-the-art autonomous driving systems at scale. The ideal candidate brings deep experience in operating secure, production-grade infrastructure in a data-intensive AI environment, while also leading and growing high-performing teams.
Responsibilities
Own backend infrastructure, DevOps, security, and internal IT operations end-to-end
Design, build, and operate scalable cloud and on-prem infrastructure supporting large-scale AI training, validation, and data pipelines
Lead the architecture and operation of systems handling massive volumes of visual and multimodal data
Establish and continuously improve DevOps practices, including CI/CD, monitoring, alerting, reliability, security, and cost optimization
Define, implement, and enforce infrastructure and data security standards, policies, and controls
Lead security compliance efforts, including implementation and successful audits of frameworks such as ISO 27001 and similar standards
Manage corporate IT systems, access control, networking, endpoints, and external vendors
Partner closely with AI, algorithm, and R&D teams to support ML workflows and evolving compute and data needs
Drive selection, adoption, and integration of cloud platforms, databases, DevOps tools, and third-party services
Define best practices for scalability, availability, resilience, and security across the organization
Lead, mentor, and scale backend, DevOps, security, and IT teams.

Required QA Automation Engineer
Your Mission:
The QA Automation Engineer will help to continuously improve the quality, reliability and end-user experience of various solutions delivered by our development team. Also, you will help efficiently deliver high-quality solutions to end users through the use of modern quality methodologies and test automation technologies combined with a streamlined release process. The individual must be forward-thinking and share in a common vision of quality, integrity and efficiency.
Responsibilities:
Define, write, maintain & perform manual & automated tests of multiple APIs, UIs & Web services for functionality, correctness and reliability
Maintain, expand and create automation solutions
Create, maintain and execute test, bug, story & other sprint board items in Azure DevOps
Analyze and understand functional and technical requirements to devise Test cases/Test scenarios that fully meets the testing scope to satisfy business/user/system requirements
Ensure prerequisites for testing are fully prepared, test data and test environment setup/configurations
Identify and log bugs during the Software Development life cycle till release to Production
Perform root cause analysis of the bugs and collaborate with the development team to resolve and test them
Work closely with the Support team to investigate and test customer and/or production issues.
Work with your lead on improving QA processes and practices and adhering to them to ensure that quality assurance standards are met.

Your Career We are looking for a top-notch Senior software automation engineer to drive our test efforts across the company. As our engineer you will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. The job is deeply hands-on and requires a deep understanding of the product, the environments it runs. Your Impact Work closely with our engineering teams to understand business requirements Create detailed and well-structured test plans based on requirements and features crew meetings Design and writing the infrastructure and progression tests for new features Use your knowledge to perform thorough regression testing Identifying, reporting, documenting and tracking defect/bug issues Investigate, analyze and find the root causes for failed systems and software Ability to effectively communicate with all levels of the organization Excellent verbal and written communication skills Strong focus on customer satisfaction.

We are looking for a Infrastructure Team Leader to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What Youll Be Doing
Lead a team of 5-7 talented Software Engineers
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.