Company:

Qentelli

Website:

Visit Website

LinkedIn:

Visit LinkedIn

Business Type:

Small/Medium Business

Company Type:

Service

Business Model:

B2B

Funding Stage:

Bootstrapped

Industry:

Information Technology

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.

Technical Skills

- 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.

Preferred 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.

What We Offer

- Prospect 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

Work Timing: Work Mode: 2 PM to 11 PM

📌 Automation Engineer (Hyderabad)
🏢 ICE
📍 Hyderabad