Senior Automation Engineer (Backend & AI)

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.