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Senior Cloud Engineer (Azure)
We are looking for a skilled remote Senior Cloud Engineer with expertise in Microsoft Azure to join our team.
As a Senior Cloud Engineer, you will be responsible for designing, building, and implementing highly complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service. The ideal candidate should be experienced in containerization technologies, including Docker, Kubernetes, and Helm, with excellent knowledge of Python and Azure Machine Learning Pipelines (AML). Knowledge and experience with machine learning are a plus.
Responsibilities
- Collaborate with Machine Learning Scientists and Engineers to design, build, and implement complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service
- Design and implement CI/CD pipelines using Azure DevOps
- Containerize technologies using Docker, Kubernetes, and Helm, and deploying them to services such as AKS
- Develop Azure Machine Learning Pipelines when required
- End-to-end testing, monitoring, and alerting for new components and data pipelines
Requirements
- Minimum 3 years of experience in Cloud Engineering with expertise in Microsoft Azure
- In-depth knowledge of Docker, Kubernetes, and Helm
- Strong proficiency in Python and core Cloud technologies, including Apache Spark and Azure Databricks
- Experience with CI/CD pipelines using Azure DevOps
- Upper-Intermediate level of English proficiency (B2+)
Nice to have
- Experience with Azure Kubernetes Service and Azure Machine Learning (AML) pipelines
- Knowledge and experience with machine learning
- Experience with Terraform
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn