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Data Innovations

Vendor-neutral middleware for lab instruments integration

Senior Quality Assurance Automation Engineer

Test Automation EngineeringUpdated on Nov 15
Full-timeRemote in USARemote

About the Job

Requirements

  • Understanding of AI automation design patterns and software testing principles and methodologies.
  • Experience working with industry automation tools such as Selenium, Cypress, Playwright, Appium, and SoapUI.
  • Proficiency in at least one programming language commonly used for test automation, such as Java, Python, JavaScript/TypeScript, or C#.
  • Familiarity with performance testing tools such as JMeter, k6, or Gatling.
  • Experience with version control systems such as Git and test management or defect tracking tools such as Jira, TestRail, or Zephyr.
  • Ability to evaluate emerging AI automation tools and make data-backed recommendations to leadership.
  • Familiarity with AI governance and responsible AI practices.
  • Experience in Continuous Integration environments.
  • Experience working in an Agile software development environment, including participation in a team using a common process framework such as Scrum, Kanban, XP, or Lean.
  • Strong written and verbal communication skills.
  • Ability to easily learn new applications and tools.
  • Experience working in a mobile, web, or back-end application development environment.
  • Must comply with and pass an initial background check and drug screening, as well as subsequent background checks, drug screenings, and vaccine requirements as required by customer contracts.
  • Ability to follow DI’s policies, procedures, and system usage practices.
  • Must have unrestricted work authorization in the United States.
  • Bachelor’s degree in Engineering or Computer Science and at least four years’ experience in a testing automation role, or at least eight years’ experience working in a related field from which comparable knowledge and skills can be acquired.

Responsibilities

  • Design and implement an AI-focused test automation framework, including self-healing test scripts, AI-assisted test case generation, and intelligent test prioritization.
  • Design and build end-to-end and regression automation tests for all application layers, including user interface and application programming interface.
  • Help define and implement quality assurance practices, procedures, standards, and reporting.
  • Collaborate with the Quality Assurance Manager in planning and implementing performance testing.
  • Provide daily status reports of testing progress and issues.
  • Participate in all aspects of the Agile process, including daily meetings, refinement, planning, retrospectives, and demos.
  • Support and enhance the existing testing process by suggesting continuous improvement initiatives.
  • Provide mentoring and training on automation for the remote team and new team members.

Desired Qualifications

  • Experience in a regulated industry.
  • Experience developing AI-driven automation frameworks.

About the Company

Data Innovations

Vendor-neutral middleware for lab instruments integration

Data Innovations provides lab management software that helps clinical laboratories run more smoothly by using a vendor-neutral middleware platform. This middleware connects different lab instruments and information systems (like LIMS and HIS) so data can flow in real time across the lab. The product standardizes processes across various lab disciplines, enabling operators to monitor and control workflows from a single interface. Unlike competitors that may lock you into specific vendors, Data Innovations emphasizes integration across many brands and systems. The company earns revenue by selling software licenses and providing ongoing support services. Its goal is to help labs make data-driven decisions to improve efficiency and patient outcomes.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
South Burlington, VT
Founded
1989

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