DevOps / IaC Engineer

ixolabs.ai; France; Sur place; EUR 60 000 - 90 000; Temps partiel

Résumé du poste

ixolabs.ai is seeking a DevOps/IaC Engineer to shape AI-driven infrastructure. You will develop training examples for Terraform configurations, review Ansible plays, and design CloudFormation templates for robust cloud deployments.

You will analyze AI-generated IaC, propose scalable improvements, and author documentation to guide automated infrastructure patterns for AI consumption. Immediate start and ongoing collaboration are expected.

Qualifications

• Proven experience with Terraform, including HCL syntax and module development.
• Deep AWS knowledge (EC2, S3, RDS, Lambda, VPC) integrated with IaC tools.
• Proficiency in Ansible for configuration management and orchestration.

Responsabilités

• Develop and refine training examples for IaC configurations and patterns.
• Evaluate and create Ansible playbooks and roles with best practices.
• Craft CloudFormation templates and nested stacks for AWS resources.
• Analyze AI-generated infrastructure code and propose scalable improvements.
• Create documentation and tutorials on infrastructure automation for AI.

Connaissances

Terraform

AWS

Ansible

CloudFormation

Git & CI/CD

Jinja2 templating

Formation

Bachelor's in CS/SE

Outils

Git

Jenkins

Docker

Kubernetes

Description du poste

The future of AI relies on robust, scalable, and automated infrastructure. As a DevOps / IaC Engineer, you'll be instrumental in shaping how AI models learn to build and manage the very environments they operate within, translating complex infrastructure logic into digestible training data.

Why This Role Matters

Your expertise in Infrastructure as Code is critical for teaching AI systems to understand, generate, and optimize cloud deployments. By meticulously reviewing and creating training data, you'll enable AI to master the nuances of declarative infrastructure, paving the way for truly autonomous and resilient AI operations.

Key Responsibilities

• Develop and refine training examples for Terraform configurations, focusing on state management, module creation, and provider interactions.
• Evaluate and generate Ansible playbooks and roles for configuration management, ensuring adherence to best practices for idempotency and security.
• Craft CloudFormation templates and nested stacks, detailing resource dependencies and deployment strategies for AWS services.
• Analyze and correct AI-generated infrastructure code, providing detailed explanations for improvements in scalability, cost‑efficiency, and fault tolerance.
• Create comprehensive documentation and tutorials on infrastructure automation patterns for AI consumption.
• Identify and categorize common IaC anti‑patterns and provide corrective training data for AI models.

Ideal Qualifications

• Proven experience with Terraform, including HCL syntax, module development, and remote state backends.
• Deep understanding of AWS services (EC2, S3, RDS, Lambda, VPC) and their integration with IaC tools.
• Proficiency in Ansible for configuration management and orchestration, including Jinja2 templating.
• Familiarity with CloudFormation, including custom resources and intrinsic functions.
• Experience with version control systems (Git) and CI/CD pipelines for infrastructure deployments.
• Strong analytical skills to dissect complex infrastructure problems and translate them into clear, actionable training data.

Project Timeline

Start Date: Immediate

Duration: Ongoing (minimum 3 months commitment preferred)

• Commitment: Flexible hours, project‑based tasks, estimated 15-20 hours/week.

Apply now to architect the future of AI‑driven infrastructure!