
Senior Automation Engineer (Backend & AI)
Foresight Automotive • Nes Ziona, Center District, Israel
**Role & seniority: ** Senior Automation Engineer (backend/server-side automation); senior level
**Stack/tools: ** Java; TestNG; REST Assured; Gradle; Allure; REST/API testing; Docker; Linux; CI/CD
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AI: LLMs/Generative AI integration; AI evaluation; security/privacy/responsible AI; AI governance (for QA)
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Optional/likely platforms: AWS/GCP/Azure; microservices; distributed systems; async workflows
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Top 3 responsibilities:
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Design/maintain/improve automation framework and test infrastructure (API, regression, contract, negative, load)
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Build and optimize automated test suites (stability, execution speed, parallel execution, reporting) and investigate failures across microservices/cloud/CI
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Lead practical AI adoption in QA (intelligent test generation, failure analysis, AI governance) and collaborate on quality improvements
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Must-have skills:
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5+ years in Automation Engineering/SDET/Software Development
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Strong Java; strong backend/API testing experience (REST APIs)
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Hands-on TestNG/REST Assured/Gradle/Allure; Docker/Linux; CI/CD experience
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Knowledge of distributed systems and cloud platforms (AWS/GCP/Azure)
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Experience integrating LLMs/GenAI into internal/production systems
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AI evaluation plus security/privacy/responsible AI practices
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Nice-to-haves:
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GCP/Kubernetes/Pub-Sub/Dataflow/GKE; MQTT/TCP/Protobuf/event-driven systems
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Elasticsearch/Kibana, MongoDB, Spring Boot
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Performance testing; Python/T
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Full 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.
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.
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.