sourceplanck Logo

sourceplanck

Quality Assurance Engineer

Posted An Hour Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Develop and execute software test plans, maintain automated testing scripts, identify and track defects, collaborate with development and product teams, participate in code reviews, and apply current testing methodologies to ensure software quality and reliability.
The summary above was generated by AI

 

 

 

We are seeking an experienced Quality Assurance Engineer to join our team. The successful candidate will have a strong background in software testing, excellent analytical and problem-solving skills, and the ability to work in a fast-paced environment.

 

Key Responsibilities:

 

1. Develop and execute comprehensive test plans to ensure software quality and reliability.

2. Collaborate with cross-functional teams, including development, product management, and design.

3. Identify, report, and track software defects, working with development teams to resolve issues.

4. Develop and maintain automated testing scripts using tools such as Selenium or Appium.

5. Participate in code reviews and provide feedback on testability and quality.

6. Stay up-to-date with industry trends, testing methodologies, and tools.

 

Requirements:

 

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

2. Advanced degree (e.g., MS) preferred.

3. Minimum 3 years of experience in software testing or quality assurance.

4. Professional certifications, such as CSTE or CTFL.

5. Strong analytical, problem-solving, and communication skills.

6. Ability to work in a fast-paced environment.

7. Proficiency in testing frameworks, such as JUnit or TestNG.

 

 

 

Similar Jobs

3 Days Ago
In-Office or Remote
Mid level
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software
Owns quality analysis for annotated computer vision and machine learning data. Responsibilities include reviewing annotation queues, maintaining verdict taxonomies and guidelines, tracking performance by facility and equipment, detecting anomalies, conducting root cause analysis, reporting findings, improving annotation tools, and establishing quality processes for new programs. The role requires independent Python and SQL analysis, strong statistical reasoning, clear documentation, and collaboration with ML and engineering teams.
Top Skills: Computer VisionJIRAMachine LearningPythonSQL
3 Days Ago
Remote or Hybrid
Massachusetts, USA
85K-114K Annually
Junior
85K-114K Annually
Junior
Healthtech • Machine Learning • Natural Language Processing • Other • Telehealth • Conversational AI • Generative AI
Designs and executes end-to-end, functional, regression, manual, automated, and security testing for AI-driven clinical and patient workflows. Translates requirements into test cases, validates AI conversations and data integrity, tracks defects, maintains requirements traceability, and supports release signoffs. Collaborates with Product, Engineering, Data Science, clinical, and distributed QA teams to ensure software quality, clinical safety, compliance, and user trust.
Top Skills: AWSAzure DevopsCypressFhirGCPHl7JIRAPlaywrightSeleniumTestrail
4 Days Ago
In-Office or Remote
160K-175K Annually
Senior level
160K-175K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Software • Analytics
Build automated data-validation processes and scalable QA practices for healthcare data pipelines and analytics software. Perform functional, integration, regression, API, backend, and end-to-end testing; investigate data discrepancies; triage and document software defects; and collaborate with Engineering, Data Science, Product, and Customer Success. The role also develops test plans, validation rules, regression tests, and documentation while handling protected health information under security and compliance requirements.
Top Skills: Automated Api TestingBackend TestingContinuous Integration And DeploymentEnd-To-End TestingIntegration TestingPlaywrightPytestPythonRelational DatabasesSeleniumSQLUnit TestingVersion ControlVitest

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account