Cloud Infrastructure Engineer (Kineto)
JetBrains · Amsterdam, Netherlands | Belgrade, Serbia | Berlin, Germany | Madrid, Spain | Munich, Germany | Paphos | Prague, Czech Republic | Remote (Germany) | Warsaw, Poland | Yerevan · Kineto
About this role
JetBrains is hiring a mid-level Cloud Engineer in the software engineering function as a remote position. The posting calls out experience with AWS, GCP, Azure, Kubernetes.
- Role
- Cloud Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Amsterdam, Netherlands | Belgrade, Serbia | Berlin, Germany | Madrid, Spain | Munich, Germany | Paphos | Prague, Czech Republic | Remote (Germany) | Warsaw, Poland | Yerevan
- Work mode
- Remote
- Department
- Kineto
More roles at JetBrains
Job description
from JetBrains careersKineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.
What you’ll do:
Cloud and platform engineering (DevOps):
- Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
- Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
- Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
- Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
- Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.
Operational excellence and reliability:
- Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.