Senior Software Engineer in Test
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Role details
Tech stack
Job description
HighRes is seeking a Senior Software Engineer in Test to fill a full-time role developing test automation for cloud-based products with a focus on AI-based features. Reporting to the Director of Cloud Software, the ideal candidate has significant experience with software engineering, test automation, and recent AI technologies. In this role, you will augment an existing team of test automation engineers., * Develop test automation tools and frameworks for evaluating the quality of AI-based software including skills, agents, and MCP servers.
- Work with the Devops team to automate test executions against deployed application environments.
- Work with the application development team to identify and prioritize bug fixes.
- Communicate with the QA and application development teams daily and respond to their QA-related needs.
Requirements
- Develop test automation tools and frameworks for evaluating the quality of AI-based software including skills, agents, and MCP servers.
- Work with the Devops team to automate test executions against deployed application environments.
- Work with the application development team to identify and prioritize bug fixes.
- Communicate with the QA and application development teams daily and respond to their QA-related needs.
Working Environment / Cultural Fit
- This is a Remote Job with travel expectations of a approximately 2 weeks per year
- Eastern US daytime hours with occasional off-hours work for planned or unplanned downtime events
- Good communication skills, a positive attitude, and a willingness to collaborate with others to solve problems
- Ability to work in a dynamic environment with changing customer needs and priorities
About the company
HighRes is a Beverly, Massachusetts-based life sciences lab automation company that partners with biotech, pharma, and research organizations to implement intelligent laboratory workflows, combining hardware, software, and services to make scientific work more efficient and reproducible.
Its platform is focused on automating and orchestrating lab operations-from liquid handling and robotic systems to workflow software such as Cellario-supporting use cases like drug discovery, genomics, and other high-throughput research.
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