Test Automation Engineer

The Cloud Test Automation Engineer will be primarily responsible for designing, implementing, and maintaining automated testing frameworks and quality processes for cloud-based and device software. This person will work closely with various teams to ensure reliable, compliant, and high-quality software releases, supporting both developer operations and IT in the cloud and on premises. In addition to test automation, the engineer will contribute to CI/CD workflows, selected cloud operations, and medical device documentation activities. The role requires flexibility, strong problem-solving skills, and a willingness to grow into the regulated medical device domain, ensuring compliance with standards such as HIPAA, SOC2, HITRUST, and other federal and state regulations. To be successful, the candidate should be customer-focused (internal), comfortable collaborating across development and production, and technically adept in a fast-paced start-up environment. This position reports to the Senior Manager, Cloud and will be a key contributor to the Cloud and DevOps Teams, * Design, develop, and maintain automated test frameworks for cloud and device software.

• Integrate automated tests into CI/CD pipelines to ensure consistent quality and rapid feedback.
• Define and improve test strategies, coverage, and quality metrics across cloud and device platforms.
• Collaborate with software engineers to identify test gaps and improve testability of systems.
• Execute and automate functional, integration, regression, and system-level tests.
• Troubleshoot test failures and support root-cause analysis across test and production environments.
• Support cloud environments and pipelines as needed, including basic AWS operations and infrastructure automation.
• Ensure testing processes and documentation meet medical device and compliance requirements (HIPAA, SOC2, HITRUST, GDPR).
• Contribute to test plans, validation documentation, and change management artifacts.

• Strong experience with test automation frameworks and tools (e.g., PyTest, Selenium/playwright, API testing)
• Experience designing automated tests for cloud-based and distributed systems
• Proficiency in CI/CD pipelines with emphasis on automated testing
• Proficiency in scripting and programming languages such as Python and Bash
• Working knowledge of AWS foundational services (EC2, ECS, EKS, Lambda)
• Familiarity with Docker and infrastructure-as-code tools such as Terraform
• Understanding of software quality, validation, and compliance in regulated environments
• Strong investigation, troubleshooting, and documentation skills
• Team-oriented, intellectually curious, and adaptable to evolving responsibilities, * Bachelor’s degree in Computer Science, Engineering, or related field
• 5+ years of relevant experience in the software industry
• 3+ years of experience in test automation, software quality, or development roles
• 3+ years of experience with the AWS ecosystem (e.g., ECS, EKS, S3, EC2, IAM, etc.)
• Proficiency with programming, scripting, and configuration languages including Python and Bash
• Demonstrated experience with infrastructure as code and configuration management tools, such as Terraform
• Containerization and orchestration technologies such as Docker, Kubernetes
• Experience designing and maintaining CI/CD pipelines with integrated automated testing

PHYSICAL DEMANDS:

• This position is based in Hyperfine’s office in Palo Alto, CA (minimum 3 days per week)
• Top-notch written and communication skills in English
• Ability to take part in on-call rotation to maintain service uptime
• Ability to use and program a computer for 8 hours a day, five days a week

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $131,000 - $150,000. This position is also eligible for to participate in Hyperfine’s corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.