Vantor seeks a GIS DevOps Engineer to design, automate, and operate scalable GIS/AI platforms in our IT department. You'll build CI/CD pipelines, manage cloud-native ArcGIS services, and optimize data workflows supporting AI-driven analytics. Partnering with data scientists and engineers, you'll implement infrastructure-as-code, monitoring, and security best practices. In Vantor's culture of innovation and learning, you'll drive reliable releases, performance tuning, and rapid experimentation to power location intelligence for our clients' digital transformation initiatives.
Responsibilities
- Design, implement, and maintain cloud-based GIS infrastructure (AWS/Azure).
- Build and manage CI/CD pipelines for GIS and AI applications.
- Implement infrastructure-as-code using Terraform/Cloud
- Formation/Bicep.
- Containerize and orchestrate services using Docker and Kubernetes.
- Monitor system performance, availability, and cost; implement observability tooling.
- Automate deployment, scaling, and backup strategies for Arc
- GIS and related services.
- Collaborate with data scientists and software engineers on spatial data workflows.
- Harden security, access control, and compliance for GIS platforms.
- Troubleshoot production incidents and drive root-cause analysis.
- Document architectures, runbooks, and operational best practices.
Required Skills
- Dev
- Ops engineering
- GIS platforms (Arc
- GIS, QGIS, Post
- GIS)
- AWS or Azure cloud services
- Infrastructure-as-code (Terraform/Cloud
- Formation/Bicep)
- CI/CD pipelines (Git
- Lab CI, Git
- Hub Actions, Jenkins, Azure Dev
- Ops)
- Docker containers
- Kubernetes orchestration
- Linux administration and scripting (Bash/Python)
- Monitoring/observability (Prometheus, Grafana, ELK, Cloud
- Watch)
- Security and networking for cloud-native apps