Long Description

Responsibilities:

• Develop and maintain cloud infrastructure using Terraform (modules, state management, CI/CD integration).
• Write Python scripts for automation, tooling, and small data/ML-related tasks.
• Assist in building and maintaining CI/CD pipelines (code builds, tests, deployments).
• Collaborate with developers to design scalable, secure, and reliable cloud solutions (AWS or GCP).
• Monitor, troubleshoot, and optimize cloud resources and deployments.
• Document architectures, runbooks, and standard operating procedures.
• Stay current with cloud and AI tooling best practices and evolving technologies.

Requirements:

• Basic hands-on experience with AWS or Google Cloud Platform.
• Proficiency in Terraform (writing modules, variables, outputs, state management, backends).
• Proficient in Python; ability to write scripts for automation and tooling.
• Basic understanding of CI/CD concepts and practices.
• Some exposure to AI coding or ML workflows is a plus.
• Strong English writing and communication skills.
• Ability to work effectively in a team and learn quickly.
• Optional: Knowledge of containerization (Docker), Kubernetes, or monitoring tools.

AI Coding Skills (nice-to-have or mandatory depending on role):

• Experience using AI code assistants/tools (e.g., Claude code, Codex, GitHub Copilot) to generate, review, and optimize code.
• Integrating AI-generated code into development workflows; evaluating quality, safety, and licensing.
• Writing AI/ML-enabled automation scripts (data preprocessing, model inference scaffolding, feature extraction).
• Familiarity with prompting strategies to improve AI code generation accuracy.
• Use of AI to assist with code reviews, bug triage, and documentation generation.
• Version control practices for AI-assisted development (commits, pull requests, code provenance).
• Basic understanding of responsible AI practices, including bias mitigation and secure model deployment considerations.