Automation Engineer - Selenium with Python

9NEXUS Limited; United States; A distancia; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

9NEXUS Limited is seeking a QA Automation Engineer in the United States to perform comprehensive system, integration, API, and UI testing. You will develop automated tests with Python, Pytest, GraphQL and Selenium, and validate AI model serving, deployment artifacts and AWS/Kubernetes workloads.

The role involves troubleshooting across services, APIs, and infra, ensuring regulated validation and robust test evidence for release readiness. Strong automation and design skills are essential.

Formación

• System, integration, API, automation and UI testing experience.
• Proficiency in Python, Pytest, GraphQL and Selenium.
• AWS knowledge including EKS, S3, DynamoDB, CloudWatch, ECR and GPU workloads.
• Experience with Docker, Kubernetes, Terraform and Helm for deployment infra.
• Strong test design, defect management, regression testing and root-cause analysis.
• Experience aligning with requirements, acceptance criteria and regulated validation.

Responsabilidades

• Perform system, integration, API, smoke, regression and end-to-end testing.
• Develop and execute automated tests using Python, Pytest, GraphQL and Selenium.
• Validate AI model serving, inference results and HALO AP integration against requirements.
• Verify deployment artifacts including images, model versions, configurations and access settings.
• Troubleshoot failures across applications, APIs, Kubernetes, AWS infra and integrations.
• Validate EKS/Kubernetes workloads, S3 access, DynamoDB lifecycle, CloudWatch logs and autoscaling.
• Test negative scenarios, error handling, retries, recovery, alarms and rollback.
• Manage defects, perform root-cause analysis and maintain test evidence for regulated releases.

Conocimientos

System testing

Integration testing

API testing

Automation testing

UI testing

Python

Pytest

GraphQL

Selenium

AWS (EKS, S3, DynamoDB, CloudWatch)

GPU workloads

Docker

Kubernetes

Terraform

Helm

CI/CD fundamentals

Test design

Defect management

Root-cause analysis

Regulated validation processes

Herramientas

Docker

Kubernetes

Terraform

Helm

CI/CD tooling

Descripción del empleo

• Perform system, integration, API, smoke, regression, and end-to-end testing.
• Develop and execute automated tests using Python, Pytest, GraphQL, and Selenium.
• Validate AI model serving, inference results, and HALO AP integration against approved requirements.
• Verify deployment artifacts, including application images, model versions, configurations, and access settings.
• Troubleshoot failures across applications, APIs, Kubernetes, AWS infrastructure, and integrations.
• Validate EKS/Kubernetes workloads, GPU availability, S3 access, DynamoDB lifecycle, CloudWatch logs, metrics, and autoscaling.
• Test negative scenarios, error handling, retries, recovery, alarms, and rollback.
• Manage defects, perform root-cause analysis, and maintain test evidence for regulated release acceptance.

Required Skills

• System, integration, API, automation, and UI testing.
• Python, Pytest, GraphQL, and Selenium.
• AWS: EKS, S3, DynamoDB, CloudWatch, ECR, and GPU workloads.
• Docker, Kubernetes, Terraform, Helm, and CI/CD fundamentals.
• Test design, defect management, regression testing, and root-cause analysis.
• Experience working with requirements, acceptance criteria, and regulated validation processes.