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Open nowFirst seen 3 hours ago

Automation Infrastructure Engineer

Cyera257 open roles

Where
Tel Aviv
Work mode
On site
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Your applicationOpen nowAutomation Infrastructure EngineerCyera · Tel Aviv

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Cyera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Cyera postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 3 hours ago

Cyera median: 2 days open

The posting

About Cyera

Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.

About the Role

We’re hiring a QA Automation Infrastructure Engineer to help build and maintain Cyera’s core automation infrastructure.

In this role, you’ll develop the shared frameworks, tools, libraries, CI/CD integrations, reporting capabilities, and self-service solutions that enable QA engineers and developers to create, run, debug, monitor, and maintain automated tests efficiently.

This is a hands-on engineering role focused on building scalable automation infrastructure that supports quality across R&D.

What you’ll do

  • Design, implement, and maintain shared QA automation infrastructure.
  • Build frameworks, libraries, utilities, and internal tools for automation at scale.
  • Enable self-service testing for developers and QA engineers.
  • Support component, integration, system, API, backend, frontend, and E2E testing.
  • Integrate automated tests into CI/CD pipelines.
  • Improve test execution reliability, scalability, performance, and debugging experience.
  • Build reporting, dashboards, and monitoring capabilities for automation KPIs and quality trends.
  • Troubleshoot automation framework issues, flaky tests, infrastructure failures, and CI/CD pipeline problems.
  • Collaborate closely with QA Architects, QA Automation Developers, developers, DevOps, and QA leadership.
  • Contribute to documentation, best practices, templates, and training materials.

What You’ll Bring

  • 5+ years of hands-on development experience in TypeScript and/or Python.
  • Strong software engineering fundamentals, including deep language understanding, clean code practices, and the ability to design maintainable, scalable solutions.
  • Proven experience building automation infrastructure at scale, including frameworks, shared libraries, internal tools, and self-service platforms used by dozens to hundreds of engineers and QA users across multiple teams and products.
  • Experience with automation tools and frameworks such as Playwright, Pytest, Cypress, Selenium, or similar technologies.
  • Experience integrating automated tests into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.
  • Strong understanding of test execution, debugging, reporting, failure analysis, automation reliability, and flaky test investigation.
  • Familiarity with Docker, Kubernetes, cloud environments, or scalable test execution environments.
  • Strong troubleshooting skills and ability to investigate complex automation, infrastructure, and pipeline issues.
  • Passionate about AI and actively explores new ways to apply AI tools to improve productivity, quality, debugging, and QA efficiency.

Nice to have

  • Experience with test optimization, stabilization, parallelization, and failures tracking.
  • Experience building dashboards, automation KPIs, reporting tools, or quality visibility systems.
  • Experience with microservices, Kafka, distributed systems, or event-driven architectures.
  • Experience in SaaS, cybersecurity, data, cloud-native, or enterprise software environments.



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