Role Overview:
As an Infrastructure Engineer on our Experiment Team, you'll build and maintain the infrastructure needed for experimental features and machine learning operations. You'll work closely with ML engineers and full-stack developers to ensure our features can perform in production environments.
Responsibilities:
- Design and implement infrastructure for ML model training and deployment
- Develop data pipelines for processing and storing large datasets
- Ensure reliability and performance of experimental features
- Work with security teams to maintain compliance in experimental environments
- Create deployment strategies for moving experimental features to production
- Manage cloud resources for the Experiment Team
- Document infrastructure decisions and maintain knowledge base
Requirements:
- 3+ years of experience in cloud infrastructure engineering (AWS, Azure, or GCP)
- Experience with ML operations (MLOps) and model deployment
- Familiarity with container orchestration and microservices
- Knowledge of data processing pipelines and storage solutions
- Understanding of security requirements for enterprise applications
- Experience with CI/CD for ML and experimental features
- Background in infrastructure automation and monitoring
What is it like working at Entangl:
Entangl is a fast-growing startup building enterprise software that helps data centers operate. Some of our perks include:
- Rocket launch corporate retreats!
- Be surrounded by readers and you will have access to a budget to buy books to keep your brain healthy!
- Generous stock options
- We also have “no AI days” (i.e. no ChatGPT, Cursor, etc).
- The team work 60+ hours minimum and 6.5 days a week.