Remote Cloud Infrastructure Engineer - 37252

Turing; India; Remote; INR 827,000 - 1,378,000; Part time

Benefits offered by this job

Fully remote work environment

Work on cutting-edge AI projects

Potential for contract extension

Job summary

A leading AI technology company is seeking an Infrastructure Engineer to develop AWS infrastructure using AWS CDK and Python. The role involves building secure cloud infrastructures and automating environments. Candidates should have good Python skills, experience with AWS tools, and the ability to troubleshoot. This is a fully remote contractor position with a minimum commitment of 20 hours a week.

Qualifications

• Strong proficiency with AWS CDK Python SDK.
• Solid experience with Python 3.x syntax and object-oriented programming.
• Experience using AWS Boto3 SDK for AWS automation.
• Familiarity with Python packaging and environment management.
• Experience writing tests with pytest and debugging with flake8.
• Ability to troubleshoot CloudFormation and runtime errors.
• Good problem-solving and communication skills.
• Ability to write clear technical docs.

Responsibilities

• Develop and maintain AWS infrastructure as code using AWS CDK with Python.
• Use Python 3.x to create reusable CDK constructs.
• Manage Python project environments and dependencies.
• Execute unit and integration tests for infrastructure code.
• Write unit and integration tests for infrastructure code using pytest.
• Debug and validate infrastructure code quality with flake8.
• Collaborate with DevOps to troubleshoot deployment and runtime issues.
• Document infrastructure code and automation workflows for scaling.

Skills

AWS Cloud Development Kit (AWS CDK)

Python 3.x

AWS Boto3 SDK

pip, virtualenv, venv

pytest

flake8

troubleshooting

Tools

pip/virtualenv/venv

CDK CLI

Python packaging

Job description

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 key member of our cloud infrastructure engineering team, you will use your expertise in AWS Cloud Development Kit (AWS CDK) with Python to design, implement, and maintain scalable and secure cloud infrastructures. You will translate complex infrastructure requirements into reusable, maintainable CDK constructs using Python 3.x scripting and AWS Boto3 SDK.

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.
• 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 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

• 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.
• 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

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

Seniority level

• Entry level

Employment type

• Contract

Job function

• Information Technology
• Software Development

Referrals increase your chances of interviewing at Turing by 2x

Sign in to set job alerts for “Infrastructure Engineer” roles.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.