Infrastructure Engineer - Experiment Team

AI company that detects and automatically resolves issues in data center engineering and operations
$120,000 - $180,000
DevOps
Mid-Level Software Engineer
In-Person
1 - 10 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Infrastructure Engineer - Experiment Team

Entangl is an innovative AI-driven startup focused on revolutionizing data center operations through automated issue detection and resolution. As an Infrastructure Engineer on the Experiment Team, you'll play a crucial role in building and maintaining the infrastructure that powers our experimental features and machine learning operations.

You'll work at the intersection of ML and infrastructure, collaborating closely with ML engineers and full-stack developers to ensure robust production environments. Your responsibilities will include designing and implementing infrastructure for ML model training and deployment, developing sophisticated data pipelines, and ensuring the reliability of experimental features.

The role requires strong expertise in cloud infrastructure engineering (AWS, Azure, or GCP) and hands-on experience with MLOps and model deployment. You'll be responsible for managing cloud resources, creating deployment strategies, and maintaining security compliance in experimental environments.

Entangl offers a unique work environment with interesting perks like rocket launch corporate retreats and a book budget for continuous learning. The team is highly dedicated, working 60+ hours minimum and 6.5 days a week, reflecting our commitment to building transformative technology.

The position offers competitive compensation ($120K-$180K) with generous equity (1.50%), demonstrating our belief in sharing the company's success with our team. Based in San Francisco, you'll be part of a fast-growing startup that's tackling complex challenges in data center operations using cutting-edge AI technology.

Join us if you're passionate about infrastructure, ML operations, and want to be part of a team that's revolutionizing how data centers operate through AI-driven solutions.

Last updated a minute ago

Responsibilities For Infrastructure Engineer - Experiment Team

  • 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 For Infrastructure Engineer - Experiment Team

Kubernetes
  • 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

Benefits For Infrastructure Engineer - Experiment Team

Equity
  • Rocket launch corporate retreats
  • Book budget
  • Generous stock options

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