EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)