DevOps Engineer

• Full-time.
• Start date: Immediately
• Location: San Francisco
• Work mode: Hybrid (to be discussed)

• About VLGE

VLGE is a creative technology company developing a platform that enables designers, brands, and creators to build and publish immersive digital experiences.

Our technology focuses on measurement, spatial data, and intelligent systems applied to immersive environments. We work at the intersection of fashion, culture, and advanced technologies to help creative industries better understand, visualize, and interact with digital spaces.

As VLGE continues to scale, we are building internal AI capabilities to support video analysis, intelligent automation, and data-driven insights across our products.

• Role Overview

We are looking for an DevOps Engineer with hands-on experience in Google Cloud Platform (GCP) to help build, automate, secure, and maintain scalable cloud infrastructure and CI/CD pipelines. The ideal candidate should be comfortable working with cloud-native services, infrastructure automation, container orchestration, monitoring, and deployment workflows in modern DevOps environments.

Key Responsibilities

• Design, deploy, and maintain infrastructure on Google Cloud Platform (GCP)
• Build and manage CI/CD pipelines for automated application deployment
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
• Manage containerized workloads
• Monitor system performance, reliability, and security
• Collaborate with development and QA teams to streamline release processes
• Implement backup, disaster recovery, and security best practices
• Troubleshoot production issues and optimize cloud resources
• Maintain documentation for infrastructure, processes, and deployments
• Support cloud migration and modernization initiatives

What Makes You a Fit

• 3–6 years of experience in DevOps or Cloud Engineering
• Strong experience with Google Cloud Platform (GCP)
• Hands-on experience with: Compute Engine, Cloud Run, Cloud Storage, IAM, VPC and Network Services, Cloud SQL administration, Cloud Build / Cloud Deploy
• Experience with CI/CD tools such as: Jenkins, Cloud Build
• Strong understanding of Docker
• Familiarity with Linux administration and shell scripting
• Knowledge of monitoring and logging tools such as: Prometheus, Grafana, ELK Stack, GCP Operations Suite
• Understanding of networking, security, and cloud best practices
• Experience with Git version control

Preferred but Not Required

• GCP certifications such as: Associate Cloud Engineer, Professional Cloud DevOps Engineer or similar
• Experience with multi-cloud environments (AWS/Azure)
• Knowledge of security scanning and DevSecOps practices
• Experience managing production-scale Kubernetes environments

Soft Skills

1. Curious and experimental mindset
2. Comfortable working in a fast-moving, creative environment
3. Ability to explain technical concepts to non-technical stakeholders
4. Autonomous, proactive, and eager to learn

Why Join VLGE?

• Work on real-world applied AI, not abstract research only
• Strong link between experimentation and product impact
• Exposure to creative industries and immersive technologies
• Small, agile team with direct access to decision-makers
• Opportunity to grow alongside the company