LocationThis is an onsite role based in one of these locations - Atlanta, GA; Chicago, IL; Denver, CO; Grand Rapids, MI; Irving, TX; Orlando, FL; Philadelphia, PA; Pittsburgh, PA; Richmond, VA; Scottsdale, AZ; Seattle, WA; Shelton, CT; St. Louis, MO.
About the job you're consideringWe are looking for a Software Development Engineer in Test (SDET) to join our next-gen Quality Engineering team. This role is ideal for engineers who go beyond traditional automation and actively experiment with LLMs, agentic workflows, and AI-assisted testing to solve complex quality challenges.
You will help build intelligent, self-evolving test systems that leverage generative AI, prompt engineering, and autonomous agents to transform how software quality is validated at scale.
What sets you apart- You actively build side projects or contribute to open-source in automation or AI testing.
- You are curious about how LLMs can replace or augment traditional QA practices.
- You think in terms of systems, not just test cases-focusing on scalability, intelligence, and efficiency.
- You are comfortable working in fast-evolving, ambiguous problem spaces and enjoy pushing boundaries.
Your role- Design and build AI-powered test automation solutions, including prompt-driven and LLM-assisted validation workflows.
- Develop and enhance automation frameworks across UI, API, and distributed systems, with a focus on scalability and reusability.
- Build self-healing and adaptive test solutions using AI techniques (e.g., dynamic locators, test generation, anomaly detection).
- Experiment with and integrate agentic frameworks (LangChain, Semantic Kernel, AutoGPT, etc.) for autonomous test execution and orchestration.
- Contribute to test generation using LLMs-converting requirements, user stories, or logs into executable test cases.
- Integrate AI-driven testing into CI/CD pipelines to enable continuous, intelligent quality validation.
- Collaborate closely with developers, DevOps, and AI/ML engineers to embed testing early in the development lifecycle.
- Analyze failures using logs, telemetry, and AI-assisted debugging techniques to accelerate root cause identification.
Your skills and experience- 1-5 years of experience in test automation, with strong coding skills and a passion for innovation.
- Proficiency in at least one programming language such as Python (preferred), Java, or JavaScript.
- Hands-on experience with modern automation frameworks (Selenium, Playwright, Cypress, or similar with MCP).
- Proven interest in AI-driven testing, demonstrated through projects, GitHub contributions, research, or coursework.
- Practical exposure to LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face), including prompt engineering or API-based integrations.
- Familiarity with agentic or orchestration frameworks (LangChain, AutoGPT, Semantic Kernel, etc.) is strongly preferred.
- Experience with API testing and service validation (Postman, RestAssured, or similar tools).
- Understanding of CI/CD pipelines, DevOps practices, and version control (Git).
- Working knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker) is a plus.
- Strong analytical mindset with the ability to experiment, prototype, and rapidly learn new technologies.
The base compensation range for this role in the posted location is $53,580 - $122,400.
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 based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
