Back to SearchSenior DevOps Engineer for Software Company
Amazon Web Services, DevOps, Apache Kafka, Data Science Deployment, MLOps, MLflow, Azure Containers, Bare metal, GCP Containers, Kubeflow
Currently, we are looking for a remote Senior DevOps Engineer to join our team.
Responsibilities
- Technical leadership of the team
- Develop scalable and reliable machine learning infrastructure components
- Ease deployment and delivery of machine learning models
Requirements
- Strong experience (3+ years) in delivering scalable and reliable machine learning infrastructure components, data ingestion and processing pipelines
- Experience deploying ML APIs/containers such as Docker, Kubernetes, or OpenShift to the public cloud (Azure, AWS, or Google Cloud)
- Experience in designing data processing pipelines with Kafka
- Experience with machine learning lifecycle platforms (MLFlow, Kubeflow)
Nice to have
- Production experience with serverless platforms such as AWS Lambda, Google Cloud Functions, Nuclio, Knative etc.
- Experience with bare metal Kubernetes cluster
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