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Open nowFirst seen 14 days ago

Senior Automation Engineer (Backend & AI)

foresightauto/13.0004 open roles

Where
Ness Ziona
Work mode
Hybrid
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Your applicationOpen nowSenior Automation Engineer (Backend & AI)foresightauto/13.000 · Ness Ziona

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. foresightauto/13.000 postings stay open a median of 5 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: first seen 14 days ago

foresightauto/13.000 median: 5 days open

The posting

Join Eye-NET Mobile, an innovative company developing advanced V2X technologies for the future of intelligent transportation.

We are looking for a Senior Automation Engineer to own and evolve our backend automation infrastructure while leading the practical adoption of AI across the engineering organization.

This is primarily a server-side automation role, focused on APIs, cloud services, asynchronous workflows, and distributed microservices. Experience with Web or Mobile automation is a plus, but not required.

Responsibilities

  • Design, maintain, and improve the automation framework and test infrastructure.
  • Develop API, integration, regression, contract, negative, and load tests.
  • Build automation using Java, TestNG, REST Assured, Gradle, and Allure.
  • Investigate issues across microservices, cloud environments, and CI pipelines.
  • Improve test stability, execution speed, reporting, and parallel execution.
  • Collaborate with Development and Product teams to improve software quality.
  • Lead AI adoption within QA, including intelligent test generation, failure analysis, and AI governance.
  • Create technical documentation and best practices.

Requirements

  • 5+ years of experience in Automation Engineering, SDET, or Software Development.
  • Strong Java development skills.
  • Extensive experience with Backend testing and REST APIs.
  • Hands-on experience with TestNG (or similar), REST Assured, Docker, Linux, and CI/CD.
  • Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Experience integrating LLMs or Generative AI into internal or production systems.
  • Knowledge of AI evaluation, security, privacy, and responsible AI practices.

Nice to Have

  • Experience with GCP, Kubernetes, Pub/Sub, Dataflow, or GKE.
  • Experience with MQTT, TCP, Protobuf, or event-driven architectures.
  • Elasticsearch/Kibana, MongoDB, or Spring Boot.
  • Performance testing.
  • Python or TypeScript.
  • Selenium or Appium.
  • ISTQB CT-GenAI, CT-AI, or similar certification.
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