Building Scalable Cloud Infrastructures

1 week ago

Malappuram, Kerala, India beBeeInfrastructure Full time ₹ 20,00,000 - ₹ 25,00,000
Cloud Infrastructure Engineer Job Description

We are seeking a skilled Cloud Infrastructure Engineer to design, implement, and maintain scalable and secure cloud infrastructures using AWS Cloud Development Kit (AWS CDK) with Python.

Key Responsibilities:
  • 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.
Required Skills and Qualifications:
  • 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.

About Us:
We help customers accelerate the advancement and deployment of powerful AI systems. We work with leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leverage that work to build real-world AI systems that solve mission-critical priorities for companies.

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