Software Test Engineer

Job 2525 - Software Test Engineer - Contract located near Boston, Massachusetts

Medical Engineering Consultants (MEC) support medical device and pharmaceutical companies to be more efficient and productive by providing resources, knowledge, and expertise to augment and supplement to their work. Our vision is to closely align our clients’ needs with the best resources available in the marketplace. We take proactive, preventative, and corrective action and create a roadmap for ongoing future improvement by identifying, integrating, and executing sustainable solutions that validate processes, ensure fully compliant quality systems, and close gaps between current and FDA expected stages.

MEC offers companies short or long-term support — from high‑end leaders, managers and consultants to skill‑set Engineering staff and SME’s (Subject Matter Experts). MEC's mission is to inspire positive cultural change from within, and always exceed our clients’ expectations.

Hybrid. Must be onsite at least 3 days per week.

Our client’s mapping system is a 3D mapping and navigation system and is an effective diagnostic tool for cardiac, electrophysiology (EP) procedures. It provides real‑time visualization of intracardiac catheters and a display of 3D cardiac maps in selected formats in minimally invasive procedures to assist the physician in identifying the origin of the arrhythmia within the heart chamber. As a physician probes the heart with a catheter the system generates an accurate anatomical model of the chamber.

High‑performance rendering and algorithmic techniques are vital to creating a stunning view and providing the physician with instant feedback. The software test engineer will join a highly effective product quality team working side‑by‑side with developers in an Agile environment developing test cases for a wide range of software components including user interface algorithms and back‑end data handling. The position will also include writing or updating test cases, manual execution of tests and interacting with a variety of electronic equipment in the lab.

Besides manual testing the candidate would be involved working in test automation which requires coding skills in Python or other programming languages in Linux environment.

• Design, develop and execute test cases to ensure the quality of the product by proving system functionality, verify business and user requirements are met in Electrophysiology domain area.
• Manual execution of tests or execute automated test scripts.
• Create, execute automated test scripts.
• Debug and fix issues on the automated test scripts within its verification points.
• Debug and fix issues that may be related to the automation framework.
• Execute automation runs to test JIRA items and coordinate with multiple scrum teams.
• Design and develop new websites to support test automation.
• Ensure that tests have been conducted in accordance with written procedures.
• Document test results and write test reports.
• Diagnose problems and report bugs and enhancements in a bug tracking system.
• Share knowledge and demonstrate product areas to other team members on ad hoc basis.
• Assist in determining test methodology, test strategy and test data set‑up.
• Participate in daily scrum meetings, product review meetings, bug triage meetings etc.
• Work closely with software development team, hardware engineering team, field support team and other cross‑functional teams.

• Build quality into all aspects of their work by maintaining compliance to all quality requirements.

• Bachelor’s degree along with 3 years of software test engineer or related experience or 1 year with a Master’s degree or advanced degree preferably BS/MS in Computer Science Biomedical Engineering or equivalent. Completion and degree must be clearly stated on resume.
• Prior programming experience in Python is required.
• Experience with test automation tools such as Selenium and Squish.
• Prior experience with source code management tool such as Git and Bit Bucket, Python, C++, React
  
  JS, Node Js, AI using Tensorflow, GenAI, understanding of AWS, S3 buckets, Amazon Bedrock,…