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Software Development Engineer in Test

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2025-10-03
Job specializations:
  • Software Development
    DevOps, Software Testing, Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly skilled SDET to join a dynamic team focused on shaping the future of forecasting in the mortgage industry.

This role involves improving and managing test automation for Python and AWS-based applications, working with cutting-edge technologies in a fast-paced Agile environment.

Key Responsibilities
  • Design, develop, and maintain automated test frameworks and test cases.
  • Perform regression, progression, and shakeout testing for Python and AWS-based applications.
  • Collaborate with developers, QA engineers, and product owners to ensure high-quality software delivery.
  • Utilize tools such as PyTest, Behave, Cucumber, and Gherkin for BDD testing.
  • Integrate automated tests into CI/CD pipelines and ensure continuous testing coverage.
  • Participate in Agile ceremonies and contribute to sprint planning and retrospectives.
  • Troubleshoot and debug test failures and application issues.
  • Communicate test results and quality metrics to stakeholders.
Required Qualifications
  • Strong understanding of the Software Development Life Cycle (SDLC) and Software Test Life Cycle (STLC).
  • Experience with regression, progression, and shakeout testing.
  • Proficiency in Python and experience with test frameworks such as PyTest and BDD tools (Behave, Cucumber, Gherkin).
  • Hands-on experience with Amazon Web Services (AWS).
  • Familiarity with CI/CD processes and tools.
  • Experience working in Agile development environments.
  • Strong verbal and written communication skills.
  • Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
  • Experience with performance testing and monitoring tools.
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Exposure to data-driven testing and test data management strategies.
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