Software Engineer (YAML/Config)
Job Description
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!