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Cloud Infrastructure Engineer; Kineto

Job in Germany, Pike County, Ohio, USA
Listing for: JetBrains
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Cloud Infrastructure Engineer (Kineto)
Location: Germany

Amsterdam, Netherlands;
Belgrade, Serbia;
Berlin, Germany;
Munich, Germany;
Paphos, Cyprus;
Prague, Czech Republic;
Remote, Germany;
Warsaw, Poland;
Yerevan, Armenia

Kineto 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  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 (Dev Ops):
  • 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. Git Hub Actions and Team City) and deployment tools like Flux and Helm for Git Ops-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.
  • Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue back pressure.
  • Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
  • Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.
Technical leadership:
  • Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
  • Champion Dev Ops and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
  • Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.
We’d be glad to have you on our team if you:
  • Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on Dev Ops/SRE practices.
  • Possess deep, hands‑on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
  • Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
  • Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
  • Are familiar with CI/CD tools, Git Ops (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
  • Thrive in cross‑functional teams and excel at communicating complex infrastructure ideas clearly.

By checking this box, I agree to allow Jet Brains to retain my data for future opportunities for employment for up to 2190 days after the conclusion of consideration of my current application for employment.

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