Senior Python Test Automation Engineer – Medical Devices at Cognizant - Thailand

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Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

112500.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Test Automation, Continuous Integration, Data Acquisition, Test Frameworks, System-level Testing, Medical Device Development, Software Verification, Validation Processes, C/C++, Electrosurgical Technologies, RF-based Technologies, Automation Tools, Coverage Analysis, Static Code Analysis, Cognition Cockpit

Industry

IT Services and IT Consulting

Description

About the role As a Senior Python Test Automation Engineer – Medical Devices, you will make an impact by designing and developing automation frameworks and pipelines that support continuous integration and testing of complex medical systems. You will be a valued member of the Quality Engineering and Assurance team and work collaboratively with onsite R&D teams, software developers, and systems engineers. In this role, you will: Design test frameworks and automation pipelines to support continuous integration. Develop Python-based test scripts to enable system-level testing. Interface with tools such as National Instruments (NI) PXI for data acquisition. Execute automated test scripts and log results into Cognition Cockpit or similar platforms. Develop test cases to automate system requirements and ensure traceability. Support design documentation and engineering change processes. Collaborate closely with onsite R&D teams to define requirements and implement testing tools. Work model: We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days a week in a client or Cognizant office in Andover, MA or Austin, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. What you need to have to be considered: Proven experience in developing Python-based automation frameworks and scripts. Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Biomedical Engineering, or a related field. Master’s degree is a plus. 7+ years in test automation, with 2–4 years in a technical leadership role. Experience in medical device development and testing. Strong understanding of software verification and validation processes. These will help you stand out: Familiarity with C/C++ for embedded systems testing. Experience with Electrosurgical, RF-based technologies, or other complex medical device equipment. Proficiency with automation tools such as VectorCast, LDRA, Ceedling, Unity, CMock, Tessy, or similar. Experience with coverage analysis tools (e.g., statement, branch, MC/DC). Knowledge of static code analysis tools like SonarQube, Coverity, or Klocwork. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary and Other Compensation: · The annual salary for this position is between [$71,100/- to $112,500/-] depending on experience and other qualifications of the successful candidate. · This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. · Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave Employee Stock Purchase Plan

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Responsibilities

Design and develop automation frameworks and pipelines for testing complex medical systems. Collaborate with R&D teams to define requirements and implement testing tools.