IT Infrastructure Engineer II

About the Role

This role focuses on managing Git Hub source control, CI/CD pipelines, infrastructure provisioning, AI tool integration, and stakeholder collaboration across business and product teams. The engineer will maintain repository hygiene, design deployment workflows, and ensure AI‑generated code meets quality and security standards.

• Administer and maintain Git Hub repository structure, access controls, and branch protection policies
• Triage and resolve Git Hub issues across teams—permissions, integrations, and webhook configurations
• Define and enforce standards for repository hygiene, naming conventions, and code ownership

• Design, build, and maintain Git Hub Actions workflows for continuous integration and delivery
• Own the end‑to‑end deployment pipeline from Git Hub to Vercel, including preview environments, production promotions, and rollback workflows
• Establish pipeline observability—build monitoring, failure alerting, and deployment audit trails

• Participate in infrastructure provisioning and lifecycle management using infrastructure‑as‑code practices
• Collaborate with engineering teams to improve deployment reliability and reduce time to production
• Document runbooks, architecture decisions, and pipeline configurations

• Actively use AI tools—including Claude—as part of the daily workflow: generating boilerplate, drafting IaC configurations, debugging pipelines, and accelerating documentation
• Identify and socialize opportunities where AI tooling can improve team efficiency

• Partner with business stakeholders, product teams, and non‑technical users to understand deployment needs and translate AI‑generated code into production‑ready applications
• Own the review, validation, and deployment lifecycle for AI‑assisted code—ensuring quality, security, and compliance standards are met before code reaches Git Hub and production environments
• Guide stakeholders through the AI development workflow: from prompt‑to‑code generation through pull request, pipeline execution, and deployment to Cloudflare or GCP
• Establish guardrails and best practices for how AI‑generated code is reviewed, tested, and promoted across environments

• 3+ years of experience in a systems, platform, or Dev Ops engineering role
• Proven experience building and maintaining Git Hub Actions CI/CD pipelines
• Experience configuring and managing deployments on Cloudflare, including environment management and build configuration
• Demonstrated use of AI tools (such as Claude, Copilot, or similar) as a core part of your engineering workflow, not just familiarity
• Strong written communication skills; comfortable writing documentation and runbooks
• Proficiency with a scripting language such as Python, Bash, or Power Shell
• Nice to have:
  Experience with Terraform for infrastructure provisioning and state management
• Familiarity with Google Cloud Platform (GCP) Cloud Run, IAM, Cloud Storage, or networking
• Exposure to Cisco Meraki for network administration or monitoring
• Experience with identity and access management tooling (Okta, Google Workspace)
• Background in IT infrastructure and enterprise IT environments

This is a hybrid role. For candidates based in the Austin metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in‑person collaboration.

Pay Transparency Range: $87,000 - $. Compensation will be determined based on experience, skills, qualifications, geographic location, and internal equity. The role may also be eligible for variable compensation, equity, and benefits in accordance with local policies.

We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.