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OfficeJob Description
Thermo Fisher Scientific Inc. is the world leader in serving science with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier cleaner and safer. Whether our customers are accelerating life sciences research solving sophisticated analytical challenges growing productivity in their laboratories improving patient health through diagnostics or the development and manufacture of life-changing therapies we are here to support them. Our distributed team of more than 130000 colleagues delivers an unrivalled combination of innovative technologies purchasing convenience and pharmaceutical services through our industry-leading brands including Thermo Scientific Applied Biosystems Invitrogen Fisher Scientific Unity Lab Services Patheon and PPD.
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About the Role
We are seeking a versatile and highly skilled Software Development Test Engineer with 58 years of hands-on experience across DevOps Github Docker Helm K8 Scripting. This is a great opportunity to work on innovative systems involving AI/ML model serving (e.g. NVIDIA Triton) high-performance computing and distributed services. You will be responsible for creating test plans reports & own risk based test strategies.
Key Responsibilities:
Design develop and maintain test environment for AI Deployment solutions.
Integrate and optimize model inference using NVIDIA Triton running Inference Server.
Work closely with hardware systems like Nvidia Orin/Jetson running using Linux to diagnose fix and optimize hardware-software interactions.
Collaborate with multi-functional teams to define system architecture and deliver end-to-end solutions.
Write clean maintainable and well-tested code following standard methodologies.
Continuously supervise and improve system performance reliability and scalability.
Required Skills and Qualifications
58 years of experience in DevOps GitHub Docker Helm K8 scripting.
Experience in TDD/BDD Linux and HW troubleshooting.
ISTQB certification will be a plus.
Experience developing and deploying microservices particularly with gRPC.
Solid understanding of CI/CD pipelines and DevOps standard methodologies.
Comfortable working in Linux-based environments and interfacing with hardware components.
Strong debugging performance tuning and hardware solving skills.
Full-Time