IT Infrastructure Engineer II

Commerce•Austin, TX

21h

About The Position

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.

Requirements

3+ years of experience in a systems, platform, or DevOps engineering role
Proven experience building and maintaining GitHub Actions CI/CD pipelines
Experience configuring and managing deployments on Vercel, 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, but active, daily use
Strong written communication skills; comfortable writing documentation and runbooks
Proficiency with a scripting language such as Python, Bash, or Powershell

Nice To Haves

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

Responsibilities

Administer and maintain GitHub repository structure, access controls, and branch protection policies
Triage and resolve GitHub issues across teams — permissions, integrations, and webhook configurations
Define and enforce standards for repository hygiene, naming conventions, and code ownership
Design, build, and maintain GitHub Actions workflows for continuous integration and delivery
Own the end-to-end deployment pipeline from GitHub 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 your 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 GitHub and production environments
Guide stakeholders through the AI development workflow: from prompt-to-code generation through pull request, pipeline execution, and deployment to Vercel or GCP
Establish guardrails and best practices for how AI-generated code is reviewed, tested, and promoted across environments