cnvrg.io is transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution. From Fortune 500 companies to startups, cnvrg.io helps data scientists solve complex problems, by building intelligent machines. The platform is used across industries by leading companies in finance, gaming, BI, automotive, manufacturing, e-commerce and more.
We are seeking an experienced and knowledgeable DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for deploying the cnvrg.io data science platform to leading companies, both in cloud and on-premise environments. If you thrive in a dynamic and successful startup environment, where you can work with the latest frameworks and technologies and contribute to shaping the world of data science, we want to talk to you.
Responsibilities:
Experienced Hire
Shift 1 (Israel)
Israel, Tel Aviv
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
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