Remote Cloud Infrastructure Engineer - 37252

About Turing:

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview:

AWS Cloud Development Kit (AWS CDK)

You will collaborate with DevOps and architects to migrate and automate cloud environments, manage deployments using CDK CLI commands, and improve infrastructure reliability. The role requires hands-on experience with Python packaging tools (pip, virtualenv, venv), testing frameworks like pytest, and debugging/validation tools such as flake8 to ensure quality code.

What does day-to-day look like:

• Develop and maintain AWS infrastructure as code using

  AWS CDK

  with

  Python

  .
• Use Python 3.x scripting and classes to author reusable CDK constructs modeling AWS infrastructure.
• Automate AWS service interactions leveraging

  Boto3

  beyond CDK.
• Manage Python project environments and dependencies using pip, virtualenv, or venv.
• Use CDK CLI commands (cdk synth, cdk deploy) to build and deploy cloud stacks.
• Write and execute unit and integration tests for infrastructure code using pytest.
• Debug and validate infrastructure code quality with tools like flake8.
• Collaborate closely with DevOps teams to troubleshoot deployment failures and runtime issues.
• Document infrastructure code and automation workflows for maintainability and scaling.

Requirements:

• Strong proficiency with

  AWS Cloud Development Kit (AWS CDK)

  Python SDK.
• Solid experience with Python 3.x syntax, scripting, and object-oriented programming.
• Experience using

  AWS Boto3

  SDK for AWS automation.
• Familiarity with Python packaging and environment management (pip, virtualenv, venv).
• Practical knowledge of infrastructure automation using Python scripting.
• Experience running CDK CLI commands: cdk synth, cdk deploy, etc.
• Experience writing and running tests with pytest.
• Skills in debugging and code validation using tools like flake8.
• Ability to troubleshoot CloudFormation stack failures and runtime errors.
• Strong problem-solving and communication skills.
• Ability to write clear technical documentation.

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Offer Details:

• Commitments Required

  : at least 4 hours per day and minimum 20/30/40 hours per week with 4 hours overlap with PST

• Employment type

  : Contractor position (no medical/paid leave)

• Duration of contract

  : 1 month; [expected start date is next week]

Evaluation Process (approximately 90 mins):

Two rounds of interviews (60 min technical + 30 min cultural & offer discussion)