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Remote Senior Infrastructure Engineer (MLOps)
Workato · Portugal · Remote
About the job
About WorkatoWorkato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.Why join us?Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.If this sounds right up your alley, please submit an application. We look forward to getting to know you!Also, feel free to check out why:
ResponsibilitiesAs a Senior Infrastructure Engineer, you will be responsible for deploying, scaling, and maintenance of services at the ML/AI team. You will closely work with ML Engineers and Data Scientists as a part of a small, flexible team and will have a direct impact on the process of modernization and maturation of the platform including infrastructure architecture decisions.What does our ML/AI team do? The team supported Generative AI solution for automation and integration https://bit.ly/3VDCrzZOur Team International Sr-level professionals from all over the Globe are experienced in building high-performing, scalable, enterprise-grade applications. A unique team of multinational professionals with integration, cloud, and consumer experience.RequirementsQualifications / Experience / Technical Skills
Cloud Architectures: Hands-on experience with cloud-based architectures, particularly Amazon Web Services (AWS).
Software Packaging and Testing: Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools.
Soft Skills / Personal Characteristics