Cloud Engineer - Stylitics

Stylitics is a retail AI platform powering real-world, repeatable success for dozens of enterprise retailers. More than 100 million shoppers each month engage with our AI-driven outfitting, product discovery, and personalization experiences across e-commerce, apps, email, and stores. What sets us apart isn’t just what our AI can generate but the 10+ years of retail data, workflows, tools, experts, and QA systems behind it. These are the mission-critical components required to deliver safe, brand-right, production-ready AI at scale. Retailers trust Stylitics to elevate customer experience, drive revenue, and bring proven AI use cases to life.

About the Role

We are seeking a Cloud Engineer with a solid command of Google Cloud Platform to help build and operate the infrastructure that powers Stylitics. This is a hands-on role on a small infrastructure team: you will implement, automate, and maintain our GCP environment, working from architecture and standards set alongside senior engineers, and grow your scope over time as you take on more of the platform.

You will partner with engineering, security, and finance to keep our platform scalable, secure, cost-efficient, and reliable.

What You Will Do

• Support the GCP migration by executing migration tasks and moving workloads under an agreed target architecture.
• Implement, maintain, and operate secure, scalable cloud infrastructure on Google Cloud Platform.
• Monitor, troubleshoot, and improve platform performance, reliability, and observability.
• Build and maintain Infrastructure as Code with Terraform, following established modules and patterns.
• Deploy and operate containerized workloads using GKE, Cloud Run, Docker, and Helm.
• Monitor cloud cost, surface anomalies, and help implement optimizations across compute, data, and AI services.
• Work hands-on with cloud-native data and AI services such as BigQuery, Pub/Sub, and Vertex AI.
• Contribute to CI/CD pipelines and DevOps automation.
• Help implement infrastructure security and governance controls, including IAM and least-privilege access.
• Support cloud networking configuration (VPCs, subnets, DNS, and load balancing).
• Write clear documentation and collaborate with engineering, DevOps, and security teams.

Must-Have Qualifications

• 3+ years of experience in cloud infrastructure, DevOps, platform engineering, or a related engineering role.
• Solid hands-on Google Cloud Platform experience across core services (Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Cloud Monitoring and Logging).
• Working experience with Infrastructure as Code using Terraform.
• Hands-on experience with Kubernetes / GKE, Docker, and Helm.
• Working understanding of GCP networking fundamentals (VPCs, subnets, firewall rules, DNS, and load balancing).