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Location
Hybrid (Ness Ziona, Israel)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Foresight Autonomous is an Israeli company that develops multi spectral vision systems for vehicles and heavy machinery. Its stereo camera technology combines visible and thermal imaging to detect obstacles in poor conditions. The company is listed on Nasdaq and works with automotive and industrial partners.

Description

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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