What are the responsibilities and job description for the Sr. Software Quality Assurance Engineer position at Stellaromics Inc.?
Who we are:
Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments.
Responsibilities:
- Design, develop, and execute comprehensive test plans and test cases for thick client C# applications and/or web applications.
- Perform functional, regression, integration, and performance testing on software that interfaces with hardware systems.
- Identify, document, and track software defects using Azure DevOps.
- Collaborate with software, mechanical, electrical and systems engineers, along with other stakeholders to understand requirements and resolve issues.
- Automate test cases using appropriate tools and frameworks to improve testing efficiency.
- Conduct code reviews and provide feedback to ensure adherence to quality standards.
- Participate in the continuous improvement of QA processes and methodologies.
- Ensure compliance with industry standards and best practices in software quality assurance.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 6-8 years, proven experience as an SQA Engineer, preferably with thick client applications responsible for running instrumentation.
- Strong proficiency in C# and .NET in a windows environment.
- Experience with test automation tools and frameworks (e.g., Selenium, NUnit, SpecFlow).
- Familiarity with hardware interfaces and protocols (e.g., USB, Serial, Ethernet).
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Familiarity with version control systems (e.g., Git).
Preferred Skills:
- Experience with continuous integration/continuous deployment (CI/CD) pipelines.
- Knowledge of Agile/Scrum methodologies.
- Experience using Visual Studio to pull, build and test software.
- Working knowledge of Python, NumPy, SciPy, PyTorch.
- Experience working in Biotechnology or other high throughput imaging-based field.
