דרושים » ניהול ביניים » QA Data 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 a CI and Automation Engineer.
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

We're looking for an Automation Engineer to join the Agen team. You'll own our testing infrastructure and help us move fast without breaking things. This is a hands-on role where you'll design, build, and maintain automated testing across our entire stack.
What You'll Do:
Test Automation (60%)
Build and maintain Playwright test suites for our MCP Gateway
Write integration tests for OAuth flows, policy enforcement, and API proxying
Create automated E2E tests for our React-based admin portal and marketplace
Develop contract tests for our MCP protocol implementations
Build performance/load testing infrastructure for concurrent AI agent connections
CI/CD & Infrastructure (25%)
Extend and maintain our GitHub Actions workflows for faster, more reliable deployments
Set up test environments that mirror production (AWS, MongoDB, MySQL)
Build automated smoke tests for multi-region deployments (US, EU, AU, CA, UK)
Create alerting and monitoring for test failures and regressions
Quality Advocacy (15%)
Partner with developers to write testable code from the start
Review PRs with a testing mindset - catch what automated tests might miss
Document testing patterns and best practices for the team
Identify gaps in test coverage and prioritize what to automate next

Were looking for a visionary Senior System QA Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.
Responsibilities:
Own end-to-end troubleshooting of complex issues across networking, Linux OS, and distributed systems; drive root cause analysis and prevention.
Lead scale and robustness initiatives: capacity planning inputs, performance tuning, latency/packet-loss reduction, resiliency improvements.
Design and build automation and tooling for infrastructure validation, provisioning, diagnostics, and continuous verification.
Define, set up, and maintain production-like lab environments (servers, switches, virtualized/cloud environments).
Hands-on configuration and maintenance of servers and switches (VLAN/LACP/STP).
Collaborate with multiple interfaces (R&D/SRE/IT/Sec/Product) and lead projects independently from design to delivery, including documentation.

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 Software Automation QA Engineer to join our Storage team. This position will be part of the QA team while the main goal is to test the Storage and Networking area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of Storage and Networking drivers, be able to learn new features, execute manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Writing automation infrastructure in multiple frameworks (Python, Perl). Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures.

Were looking for a visionary Automation Engineer to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and mobile applications interacting deeply with the operating system.
Responsibilities
Design and develop automation solutions for mobile applications, including end-to-end scenarios across backend, network, and device layers
Build, configure, and maintain mobile testing environments (emulators, simulators, and physical devices), including CI-integrated mobile labs
Develop automation for applications that integrate with mobile OS capabilities (e.g., VPN configuration, system extensions, network controls, background services)
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Cope with complex code along with quality standards and best practices.
You will be expected to come up with initiatives regarding Automation infrastructure and tools.
You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes.
You will take part in planning and implementing non-functional testing aspects of product management modules.
Collaborate with development and product teams to ensure high-quality delivery of mobile and networking features.

Required Silicon Validation and Automation Engineer
Responsibilities
Run, monitor, and analyze nightly Continuous Integration (CI) regression results.
Design and implement new regression methods and supporting infrastructure/Graphical User Interface (GUI).
Identify, debug, and report issues while performing initial root cause analysis and routing to IP owners.
Develop and maintain tools for silicon validation and debug.
Maintain and enhance automation infrastructure for various regression cadences.

Required Al Infrastructure & Reliability Engineer
What this role is really about
Youll join a 3-person platform team within our Business Technology group -owning the internal infrastructure that our AI platform and its users depend on. This isnt a product engineering role, and it isnt ticket work or babysitting pipelines someone else built. Youre building and operating the internal foundation that the company runs on. The work covers the full stack of platform engineering: core cloud infrastructure (AWS, Kubernetes, IaC), CI/CD pipelines, AI-driven infrastructure components, and the SRE and observability practice that keeps it all honest -metrics, alerting, incident response, and reliability standards. As our AI capabilities grow, so does the complexity underneath them, and staying ahead of that is central to the role. If you treat infrastructure as a product -reusable, automated, observable, and built to last -this is your kind of role.
Job responsibilities
DevOps & AI-Driven Infrastructure - own CI/CD, deployment processes, and release reliability. Build and operate cloud infrastructure that is automated, intelligent, and continuously self-improving - not just managed.
Design and build our Terraform repository and IaC pipeline from scratch -AI-assisted generation, drift detection, and policy enforcement built in.
Build AI-driven GitHub Actions pipelines -automated code review, risk assessment, and intelligent deployment decisions.
Manage Kubernetes workloads across AWS accounts -zero downtime, fully automated, nothing left behind.
Embed AI into the operational layer -proactive drift detection, automated remediation, and intelligent scaling toward a self-healing runtime.
Reliability & SRE -improve uptime, resilience, and incident response.
Define and enforce SLOs/SLIs, error budgets, and on-call practices.
Lead incident response, postmortems, and systemic reliability improvements.
Own AI-specific reliability: model latency SLOs, token quota monitoring, rate limit handling, fallback and retry strategies, and cost-per-request alerting.
Observability & Telemetry - increase visibility, reduce noise, improve troubleshooting.
Establish and continuously evolve the observability stack: metrics, logs, distributed tracing, and alerting tuned for both application and AI workloads.
AI / LLM Operations- bringing AI systems to production and operating them at scale, with a focus on reliability, performance, and trust.
Own the AI infrastructure layer: rate limits, quota management, latency SLOs, and fallback strategies (retries, circuit breakers).
Operate LLM APIs in production with resilience and cost attribution per team/model.

We are looking for a dedicated SoC Clocks Design Automation Engineer to join our Networking Silicon team. In this role, youll focus on developing and supporting clock-related design flows and methodologies for SoC and networking chips, ensuring efficient and high-quality design implementation. Youll also chip in to SoC top-level automation and integration activities, building on existing flow infrastructure to improve efficiency and consistency across projects. Introduction
What you'll be doing:
Develop and maintain design automation and methodologies for SoC and networking clock flows.
Collaborate with design, STA, and project teams to ensure timely and high-quality design closure.
Develop and improve SoC top-level automation scripts and flows built upon existing infrastructure and tools.
Support SoC integration and construction flow activities across multiple projects.
Assist in timing, power, and noise analysis to ensure efficient performance.