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:

As a Terraform engineer specializing in CDK for Terraform (CDKTF) with Python, you will architect and implement cloud infrastructure by writing Python code that generates Terraform configurations. Your expertise in both Python and Terraform will help automate infrastructure provisioning, manage Terraform state, and optimize deployment workflows using Terraform CLI and Terraform Cloud.

You will work closely with engineering and DevOps teams to translate infrastructure requirements into modular, testable, and reusable Python constructs. Your role involves troubleshooting infrastructure deployments, managing cloud resources efficiently, and improving the reliability and scalability of infrastructure-as-code processes.

What does day-to-day look like:

Develop and maintain infrastructure as code using CDK for Terraform with Python.
Write reusable Python classes and constructs representing Terraform resources and modules.
Manage infrastructure lifecycle, state, and deployments through Terraform CLI and Terraform Cloud.
Use Python virtual environments (venv, virtualenv) and manage dependencies via pip.
Write scripts to automate infrastructure provisioning and validation.
Debug and validate infrastructure code with Python tooling and ensure code quality.
Collaborate with cross-functional teams to deliver scalable and maintainable cloud infrastructure.
Keep documentation clear and updated for infrastructure components and deployment processes.

Requirements:

Strong proficiency with CDK for Terraform (CDKTF) Python development.
Solid experience in Python scripting and using classes to model infrastructure constructs.
Hands-on experience defining Terraform resources via Python constructs in CDKTF.
Good understanding of Terraform infrastructure concepts such as state, providers, and modules.
Familiarity with Python virtual environments and dependency management using pip.
Experience with Terraform CLI and Terraform Cloud for infrastructure deployments and state management.
Strong scripting, debugging, and validation skills for Python-based infrastructure as code (IaC).

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)

Remote DevOps Engineer (Terraform/Python)