Associate Test Automation Engineer

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Job Description

About the job you’re considering (This job is onsite in Orlando, FL)

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Role

• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.
• Train business users and QA teams on utilizing AI-powered testing tools and dashboards.
  
  
  

Your role

• At least 1 year experience in AI based Testing environments
• Programming Languages: Strong proficiency in Python (preferred), Java, or JavaScript.
• Automation Tools: Experience with Selenium, Playwright, Cypress, or similar frameworks.
• API Testing: Skilled in tools like Postman, RestAssured, or equivalent.
• LLM/NLP Fundamentals: Understanding of transformers, prompt engineering, and model integration.
• Agentic Frameworks: Exposure to LangChain, AutoGPT, or Semantic Kernel.
• Test Data Engineering: Experience with SQL/NoSQL, synthetic data generation, and data masking.
• CI/CD & DevOps: Familiarity with Jenkins, GitHub Actions, or Azure DevOps.
• Cloud & Containers: Hands-on experience with AWS, Azure, or GCP; Docker, Kubernetes.
• Monitoring & Observability: Knowledge of Grafana, ELK Stack, or Prometheus.
• Soft Skills: Excellent communication, collaboration, and problem-solving abilities.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
• Experience working in Agile/Scrum environments.
• Exposure to AI/ML testing or model validation practices.

The base compensation range for this role in the posted location is: $44,300 - $93,660

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

 

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

• Paid time off