Software Engineer in Test

Job Title:
Software Development Engineer in Test (SDET) - Performance Automation

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life‑saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.

Job Location:
Waltham, MA (100% onsite)

This position requires an Engineer with a strong background in Python with Performance test automation. The ideal candidate will help us and our clients by designing and developing automated test suites to evaluate application performance on a Linux based platform and a Behavior‑Driven Development (BDD) framework to ensure the quality and reliability of our software applications.

• Design, develop, and implement automated performance test scripts: create robust performance test scripts using Python to ensure comprehensive test coverage across all application features with performance needs.
• Work with developers and engineers to analyze test results and perform bug fixes to enhance application performance.
• Work closely with developers, product managers, and clients to understand application requirements and develop effective test strategies.
• Provide guidance on performance testing processes and standards to ensure quality throughout the test development lifecycle.
• Continuously improve and maintain the existing performance automation framework and processes; design and develop the automation framework for load testing.
• Develop comprehensive and well‑structured performance test plans and strategies to monitor and optimize application performance.
• Identify performance bottlenecks and suggest corrective actions to improve system performance.
• Participate in CI/CD efforts: engage in continuous integration and deployment practices to streamline testing workflows.
• Prepare and maintain comprehensive documentation of test cases, results, and performance testing protocols.

• 3‑7+ years of proven experience in automation testing, with a strong understanding of the Software Testing Life Cycle (STLC) and performance testing methodologies.
• Prior experience designing and developing automated test suites (Linux & Python) to evaluate application performance.
• Diagnose performance issues (e.g., application speed, scalability).
• Proficient in advanced Python programming language.
• Linux OS experience (Rocky Linux 8.8 and above preferred).
• Strong analytical and problem‑solving skills.
• Analyze test results, identify bugs, and work with the team to resolve issues (Jira).
• Familiarity with CI/CD processes and tools (e.g., Jenkins, Git Lab).
• Experience with test automation tools (e.g., Load runner, JMeter).
• Master’s or bachelor’s degree in computer engineering, computer science, or equivalent.

• Experience with Squish / Squish coco
  .
• Experience with National Instruments (NI) PXI System
  .
• Knowledge of API testing and tools (e.g., Postman, SoapUI).
• Familiarity with Agile methodologies and practices.
• Excellent communication skills and ability to work collaboratively in a team environment.

The base compensation range for this role in the posted location is: $54,300–$108,155/year.

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…