About the Role:Augmedix is a leading healthcare technology company dedicated to revolutionizing patient care through innovative software solutions. We are seeking a talented and experienced Senior Software Development Engineer in Test (SDET) with a strong background in Natural Language Processing (NLP) testing and expertise in backend services on AWS or GCP.Responsibilities:Develop, maintain, document, and execute test plans and automated test scriptsCollaborate with developers, Product Managers, and other team members to understand business requirements to develop manual and automated test strategies that will test ASR and NLP functionalityImplement test strategies to validate the accuracy and performance of NLP algorithmsBuild and execute functional, integration, performance, scalability tests to ensure our NLP pipelines are working as expectedDesign and create test data (text, speech, etc) as needed to verify diverse user scenariosIdentify, document, and track defects thoroughly, including detailed steps to reproduceMaintain detailed documentation of test plans, test cases, and testing resultsCollaborate with developers to prioritize and address reported issuesContribute to best practices and continuous improvements approach to developmentEvaluate, recommend, and implement automation and/or other QA tools to assist with testingContinue to develop NLP, testing, and automation skills through ongoing professional development training, bringing new ideas and solutions to the teamRequirements:Bachelor's degree in Computer Science, Software Engineering, or a related fieldProven experience as an SDET with a focus on NLP testing and cloud servicesStrong programming skills in PythonExperience with automated testing tools and framework knowledge of cloud services. Familiarity with Agile/Scrum methodologiesExcellent communication and collaboration skillsFamiliarity with API testing principles (Python or Postman). Strong understanding of the Software Development Life Cycle (SDLC)Bonus Qualifications: Knowledge and some experience in using LLMs to identify NLP mistakes
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Location: San Francisco, CA
Posted: Sept. 30, 2024, 4:53 p.m.
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