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.
