Enterprise Cloud Infrastructure Architect
hace 3 semanas
About Workato
Workato is the leading integration and automation platform, renowned for its simplicity and unparalleled power. This robust platform powers large enterprises and is built to be both low-code and no-code. As a result, it empowers any user – whether a developer or non-developer – to effortlessly automate workflows across various applications and databases.
We take pride in being named a leader by both Forrester and Gartner, as well as being trusted by over 7,000 top brands worldwide, including Box, Grab, Slack, and many more. However, what's most exciting is that this is just the beginning of our journey.Why Work with Us?
At Workato, we foster a flexible, trust-oriented culture that encourages every individual to take ownership of their roles. We're driven by innovation and are seeking team players who want to actively contribute to our growth. We also believe in striking a balance between productivity and self-care, offering a vibrant work environment along with numerous benefits that can be enjoyed inside and outside of work hours.
If you're looking for a challenging opportunity, please submit an application. We look forward to getting to know you.
Award-Winning RecognitionWe've received recognition from prominent organizations, including:
- Business Insider: Named us an 'enterprise startup to bet your career on'
- Forbes' Cloud 100: Recognized us as one of the top 100 private cloud companies in the world
- Deloitte Tech Fast 500: Ranked us as the 17th fastest-growing tech company in the Bay Area and 96th in North America
- Quartz: Ranked us the #1 best company for remote workers
This is an exciting opportunity for a Senior Infrastructure Engineer to join our ML/AI team, where you will be responsible for deploying, scaling, and maintaining services. You'll collaborate closely with ML Engineers and Data Scientists as part of a small, agile team, making significant contributions to the modernization and maturation of our platform, including infrastructure architecture decisions.
The ML/AI TeamOur ML/AI team has successfully developed a Generative AI solution for automation and integration here. Our international team consists of senior-level professionals from around the globe, experienced in building high-performing, scalable, enterprise-grade applications.
RequirementsTo succeed in this role, you should possess:
- 7+ years of professional experience in engineering roles (DevOps/SRE), preferably with a BS or MS in Computer Science or equivalent experience.
- 1+ year of experience hosting AI models using technologies like ML flow, AWS Sagemaker, Azure AI, and Kubernetes.
- Strong expertise in managing Kubernetes clusters and workloads, particularly using EKS.
- Programming skills in Python are essential, with proficiency in other languages like Go, Ruby, or JavaScript being a plus.
- Experience creating scalable development and integration pipelines using CI/CD tools like GitHub Actions, Argo Workflows, GitLab CI, or similar solutions.
- Familiarity with cloud-based architectures, particularly Amazon Web Services (AWS).
- Strong understanding of networking fundamentals and web services architecture.
- Hands-on experience with containers, including creating and optimizing Dockerfiles, using docker-compose, and related technologies.
- Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools.
- Operating knowledge of Kubernetes clusters in compliance-regulated environments and understanding kernel-level container technologies.
We offer a range of benefits, including:
- A dynamic and vibrant work environment
- A multitude of benefits that can be enjoyed inside and outside of work hours
This is a remote-friendly position, requiring good communication and collaboration skills in international technological companies.
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