Senior AI Ops Infrastructure Engineer — Hybrid (Austin)

BigCommerce Pty.; Austin, Northern (TX, KY); Hybrid; USD 136,000 - 204,000; Full time

Job summary

Commerce seeks a Senior Infrastructure Engineer to own AI Ops infrastructure in a hybrid Austin, TX setting. You will design, provision, and run cloud platforms, CI/CD pipelines, and edge delivery stacks for AI workloads.

You’ll implement robust security, monitoring, and scalable orchestration while collaborating with security and data teams. Strong Linux, GCP, and IaC skills are essential.

Qualifications

• 7+ years in infrastructure engineering, DevOps, SRE, or platform engineering with production ownership.
• Deep Linux systems administration experience (Debian, Ubuntu) at scale.
• Strong hands-on experience with GCP services (Cloud Run, GKE, Cloud Build, IAM, VPC).
• Infrastructure as code as a core discipline (Terraform, Puppet).
• Experience designing and maintaining non-trivial CI/CD delivery pipelines. Cloud Build, GitHub Actions, CircleCI.
• Hands-on experience with NGINX and edge infrastructure at scale, including DNS, load balancing, and CDN (Cloudflare or equivalent).
• Hands-on experience with distributed monitoring and logging stacks—Prometheus, Grafana, ELK/Kibana, Cloud Logging.
• Proficiency in Python, Bash, and shell scripting for infrastructure automation and custom tooling.
• You design infrastructure with least-privilege IAM, Workload Identity, and compliance controls as defaults.

Responsibilities

• Design, provision, and manage cloud infrastructure on GCP (Cloud Run, GKE, Redis/Memorystore) using Terraform and Puppet.
• Build and maintain CI/CD pipelines in Cloud Build, GitHub Actions, and CircleCI—including automated testing gates, canary and blue-green deployments, and artifact promotion across environments.
• Design and maintain the full edge-to-origin traffic stack: DNS, load balancing, CDN, WAF, edge compute, bot management, authentication, and rate limiting.
• Operate and tune container orchestration for AI workloads—autoscaling, resource quotas, cold-start optimization, and cost-efficient inference.
• Implement production observability end-to-end: structured logging, metrics/dashboards, tracing, SLO/SLI, and incident coordination.

Skills

GCP

Terraform

Puppet

CI/CD pipelines

NGINX/edge infra

Kubernetes/GKE

Observability

Python/Bash

IAM least-privilege

Tools

Cloud Build

GitHub Actions

CircleCI

Cloudflare

Cloud Load Balancing

Prometheus

Grafana

ELK/Kibana

Cloud Logging

Job description

Commerce seeks a Senior Infrastructure Engineer to own AI Ops infrastructure in a hybrid Austin, TX setting. You will design, provision, and run cloud platforms, CI/CD pipelines, and edge delivery stacks for AI workloads.

You’ll implement robust security, monitoring, and scalable orchestration while collaborating with security and data teams. Strong Linux, GCP, and IaC skills are essential.