Cloud Infrastructure Engineer
1 month ago
We are seeking a highly skilled Cloud Infrastructure Engineer to join our team at Blend. As a key member of our MLOps team, you will be responsible for maintaining and extending our existing data science pipelines in AWS, with a focus on infrastructure as code (CloudFormation).
Main Responsibilities:
- Maintain and extend existing data science pipelines in AWS, with an emphasis on infrastructure as code (CloudFormation)
- Collaborate with data scientists to implement optimizations and improvements to specific projects deploying or being re-platformed within the infrastructure
- Research new optimization opportunities based on the needs of specific data science products
- Develop and maintain documentation on infrastructure usage and design (Confluence, GitHub Wikis, diagrams)
- Serve as the internal infrastructure expert, providing guidance to data scientists deploying models into the pipelines
To be successful in this role, you will need:
- Minimum of 5 years DevOps experience in AWS Cloud, including managing ML Pipelines
- Built and executed at least 2 MLOps projects in AWS cloud using SageMaker or other services
- Experience building cloud infrastructure as code
- Expertise in MLOps best practices
- Foundational understanding of Data Science and Data Engineering best practices
- Experience with AWS services (SageMaker, ECR, S3, Lambda, Step Functions)
- Ability to write CloudFormation scripts for dev/test/prod environments
- Knowledge in Python
- Ability to build Docker images independently
- AWS CodeCommit or GitHub (including GitHub Actions) experience is a must
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Cloud Infrastructure Engineer
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4 weeks ago
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4 weeks ago
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