Automation Engineer

Company: Qentelli

Website: Visit Website

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Business Type: Small/Medium Business

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Job Description

We are looking for an experienced QA Automation Engineer with expertise in Python and/or Java to develop scalable automation frameworks and ensure high-quality delivery of AI-driven applications. The ideal candidate will have strong experience in automation testing, AI/ML validation, and CI/CD integration, with exposure to cloud technologies such as AWS Bedrock.

Key Responsibilities

• Design, develop, and maintain test automation frameworks using Python and/or Java.
• Build automated test suites for functional, regression, performance, and integration testing.
• Participate in testing of AI-ML models, including validating outputs, datasets, model accuracy, and edge-case behaviors.
• Implement AI-assisted testing tools and contribute to developing intelligent test solutions.
• Collaborate with cross-functional teams to understand product requirements and convert them into test strategies. Identify root causes of defects and work with engineering teams to resolve them.
• Perform code reviews, maintain test documentation, and ensure best testing practices.
• Contribute to CI/CD pipelines with automated quality gates.
• Continuously evaluate and integrate new tools, frameworks, and AI capabilities to improve test efficiency.
  
  

• Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
• Strong experience in test automation using Python and/or Java.
• Solid understanding of testing methodologies, QA processes, and automation principles.
• Exposure to AI/ML concepts such as model training, model inference, datasets, bias, and evaluation metrics. Experience working with API testing tools (e.g., Postman, REST Assured, PyTest).
• Hands-on experience with automation frameworks like Selenium, Playwright, Cypress, or Robot Framework. Familiarity with CI/CD platforms (Jenkins, GitHub Actions, GitLab CI, etc.).
• Strong analytical and debugging skills.
  
  

• Experience testing AI/ML pipelines or platforms.
• Understanding of LLMs, NLP, generative AI, or ML workflows.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Experience with containerization tools (Docker, Kubernetes).
• Familiarity with data validation, data quality tools, or synthetic data generation
• Experience with test-case generation using AI tools.
  
  

• Opportunity to work on cutting-edge AI-driven products.
• Flexible work environment and supportive culture
• Professional growth through training and exposure to the latest AI tech