Test Automation Developer (Python) (No C2C) - Revolution Technologies : Job Details

Contract role - 12 months+

Pay rate - 60/h

Department/Team Description

Radiology Device R&D, Systems Engineering: The Systems Engineering team focuses on the creation of requirements, risk management, reliability, and verification/validation.

Position Summary

A successful candidate for this position will develop a Python-based Test Automation Framework to support medical device Verification. The Test Automation Framework combines many disparate systems into a single framework, unlocking schedule and resource efficiencies for the broader organization. The candidate will work with Device and Software Verification teams to develop an architecture for the Test Automation Framework, and integrate existing test tools, methods, and systems into the Framework. The Test Automation Framework will also interface with data analysis scripts to summarize and report on collected data, such scripts are also written in python.

Position Duties and Responsibilities

• Develop, manage, and deploy automated test tools

• Perform analysis of experimental data

• Verify and validate software test tools

• Work with development teams to define and document test tools

• Prepare documentation for automated test tools

• Effectively convey problems, opportunities, and results

Requirements/Preferences:

Education Minimum Requirement: Bachelors Degree

Skills & Competency Requirements

• B.S. in Engineering or Computer Science

• 5+ years working with Python in a regulated field

• Experience developing custom data analysis tools in Python

• Experience managing and deploying software tools for internal testing

• Knowledge and application of engineering and scientific concepts

• Ability to apply basic tools, methodologies and technologies, including statistics

• Working knowledge and proven skills of PC computer system including Microsoft Office Applications (Outlook, Word, Excel, and PowerPoint).

Preferences

• Experience with experimental testing methods and analysis of experimental datasets

• Familiarity with documentation and development of custom software to support test equipment and software test tool validation

• Understanding of medical device verification and validation requirements

• Prior experience developing test equipment

• Expertise in statistical analysis, including experience with Minitab.

• Familiarity with data analysis and visualization libraries like numpy, scipy, matplotlib, and seaborn.

• Experience with software tools such as SQUISH or unit test libraries.

• Familiarity with source control tools (e.g., Git, JIRA) and sustainable python deployment.

• Experience with python interfaces for serial communication (including I2C and SPI), TeraTerm/ terminals, and LabVIEW.