Checking in- (100% remote considered) Are you interested in a Sr. Software Development Engineer in Test (SDET) Testing opportunity to work with a company focused on Healthcare Systems solutions

  • San Francisco, CA
  • Posted 60+ days ago | Updated 30 days ago

Overview

On Site
Depends on Experience
Full Time

Skills

QA
NLP

Job Details

Sr. Software Development Engineer in Test (SDET) - (Machine Learning)
Full Time opportunity-Office located in San Francisco, CA (100% remote considered)

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 Google Cloud Platform.

 

Responsibilities

Develop, maintain, document, and execute test plans and automated test scripts

Collaborate with developers, Product Managers to understand business requirements to develop manual and automated test strategies that will test ASR and NLP functionality

Implement test strategies to validate the accuracy and performance of NLP algorithms

Build and execute functional, integration, performance, scalability tests to ensure our NLP pipelines are working as expected
Design and create test data (text, speech, etc) as needed to verify diverse user scenariosI dentify, document, and track defects thoroughly,including detailed steps to reproduce

Maintain detailed documentation of test plans, test cases, and testing results

Continue to develop NLP, testing, and automation skills through ongoing professional development training, bringing new ideas and solutions to the team

 

Requirements:

Bachelor's degree in Computer Science, Software Engineering, or a related field

Proven experience as an SDET with a focus on NLP testing and cloud services

Strong programming skills in Python

Experience with automated testing tools and framework knowledge of cloud services. Familiarity with Agile/Scrum methodologies

Familiarity 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.