Software Configuration & Automation Engineer

Position Summary

We are establishing a new Software Configuration Team and are looking for a highly skilled and automation‑driven Software Configuration & Automation Engineer.

This role focuses on ensuring accurate and consistent configuration across customer environments, while also introducing automation, improving workflows, and enhancing tooling used in the configuration and deployment process.

Key Responsibilities

Core Configuration Responsibilities

• Perform initial onboarding and cluster registration in EDGE UI.
• Conduct node registration, verification, and environment readiness checks
• Apply and maintain labels and configuration attributes.
• Enforce pre-deployment configuration standards; document exit criteria and handoff to lifecycle support
• Ensure configuration consistency across environments.
• Collaborate with customers, engineering, DevOps, and support teams.
• Maintain detailed procedural documentation and procedures for team members
• Participate in rotation‑based shift work or occasional out‑of‑hours activities, when required, to ensure customer needs are met and to support critical configuration or deployment windows

Automation & Workflow Responsibilities

• Work extensively with YAML files to define and validate configuration templates.
• Use Git/GitHub to manage configuration repositories and workflows.
• Develop or maintain GitHub Actions workflows.
• Automate environment checks using scripting.
• Use APIs to automate configuration updates.

Required Skills & Qualifications

• Strong experience with YAML.
• Experience with Git and GitHub.
• Hands-on API experience.
• Background in configuration, DevOps, or systems engineering.
• Strong attention to detail.
• Excellent troubleshooting and documentation skills.
• Experience with Google Cloud Platform services (storage, queries, APIs, validation of generated asset packages in GCP buckets…)

Nice to Have

• Kubernetes-style configuration familiarity.
• Experience with CI systems.
• Understanding of deployment pipelines and configuration lifecycle management