Entangl uses AI to detect and automatically resolve issues in data center engineering and operations, ensuring efficiency and uptime.

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.