Software Engineer (YAML/Config)

ixolabs.ai; France; Sur place; EUR 65 000 - 105 000; Plein temps

Résumé du poste

ixolabs.ai is seeking a Software Engineer (YAML/Config) to refine AI-generated YAML for Kubernetes manifests, CI/CD pipelines, and infrastructure-as-code definitions.

You will evaluate, debug, and validate YAML configurations across Terraform, CloudFormation, Ansible, and Helm, helping teams adopt best practices in cloud-native environments.

Qualifications

• 5+ years in DevOps, SRE, or Cloud Engineering with extensive YAML usage.
• Experience validating complex YAML in Kubernetes, CI/CD, and IaC tools.
• Ability to debug configurations and enforce best practices.

Responsabilités

• Evaluate AI-generated YAML for Kubernetes manifests, Docker Compose, and Helm charts.
• Assess YAML IaC definitions (Terraform, CloudFormation, Ansible) for correctness.
• Provide feedback on YAML-based CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines).
• Create training data for complex YAML structures with anchors and aliases.
• Debug and validate YAML, identifying syntax, logical, and semantic issues.
• Analyze YAML templating (Jinja2) and environment-specific configurations.

Connaissances

YAML expertise

DevOps proficiency

Kubernetes knowledge

CI/CD practices

Outils

Terraform

CloudFormation

Ansible

Kubernetes

Docker Compose

Description du poste

Overview

YAML has become the declarative language of choice for infrastructure-as-code, configuration management, and orchestrating complex systems. As a Software Engineer (YAML/Config), you will be essential in refining AI's ability to generate accurate, well-structured, and semantically correct YAML configurations for critical DevOps and cloud-native workflows.

Key Responsibilities

• Evaluate AI-generated YAML configurations for Kubernetes manifests, Docker Compose files, and Helm charts, ensuring functional correctness and best practices.
• Assess AI's ability to create and modify infrastructure-as-code definitions (e.g., Ansible playbooks, CloudFormation templates, Terraform configurations).
• Provide expert feedback on AI-generated CI/CD pipeline configurations (e.g., GitLab CI, GitHub Actions) written in YAML.
• Create high-quality training data for complex YAML structures, including anchors, aliases, and custom tags.
• Debug and validate AI-generated YAML, identifying syntax errors, logical inconsistencies, and semantic misinterpretations.
• Analyze AI's understanding of schema validation, templating engines (e.g., Jinja2), and environment-specific configurations within YAML.

Ideal Qualifications

• 5+ years of experience in DevOps, SRE, or Cloud Engineering with extensive YAML usage.
• Expert proficiency in writing and validating complex YAML configurations for various tools.
• Deep understanding of Kubernetes manifests (Deployments, Services, Pods, Ingress) and Docker Compose.
• Strong experience with at least one infrastructure-as-code tool (Terraform, CloudFormation, Ansible) that heavily uses YAML.
• Familiarity with CI/CD pipeline definitions in YAML (e.g., GitHub Actions, GitLab CI, Azure Pipelines).
• Ability to troubleshoot and debug configuration-related issues in distributed systems.

Project Timeline

• Start Date: Immediate
• Duration: Ongoing
• Commitment: Flexible, 15-25 hours/week

Configure the future by guiding AI in the world of YAML and infrastructure-as-code!