Platform Engineer (remote work)

• Senior-level experience in infrastructure, platform or site reliability engineering, including at least one production service you were responsible for keeping up. We will ask you to walk us through it in detail: what broke, how you found out, and what you changed so it would not happen again.
• Linux systems administration and debugging on bare metal and virtual machines. Much of our infrastructure is not Kubernetes.
• Kubernetes in production delivered through GitOps, including cluster upgrades you performed yourself.
• Infrastructure as code as your delivery form: Ansible and Terraform or OpenTofu, changes reviewed in merge requests.
• GitLab administration and GitLab CI in production, self-hosted or SaaS. Deep experience with another CI system is acceptable if you can show the same depth.
• Working knowledge of the Prometheus and Grafana ecosystem: you have run it for a team, written alert rules and dashboards, and can read PromQL. Depth here is welcome, and learnable.
• Written technical explanation for engineers outside your team: runbooks, notices, answers to requests.
• Strong communication and interpersonal skills. This role deals with people at least as much as with servers: most work starts as a conversation with a product team, and you need to understand what they actually need, agree scope, priority and timing with them, push back politely when a request should not be done as asked, and keep everyone informed while the work is in progress. We are looking for someone other teams enjoy working with.
• Advanced use of AI engineering assistants such as Claude and Codex: providing context, breaking down tasks, designing agent loops, and delegating plans for unattended, end-to-end execution within defined scope and permissions, with clear stop conditions. You can explain, debug and test the resulting automation, and verify generated commands, scripts and conclusions before they touch production.
• English - upper-intermediate or higher - to ensure clear communication of progress within the teams.

• Alerting design: SLOs, burn-rate alerts, thresholds sized from data.
• MicroVM isolation for CI: Kata Containers, Firecracker or gVisor.
• S3-compatible object storage operations: Ceph RGW or similar.
• AWS with real cost work.
• Self-hosted Sentry, or another Kafka, ClickHouse and Redis-backed application you have kept alive under load.
• Python or Go for exporters and small internal services.

You do not need to have run every system on this list. Solid fundamentals and the judgment to pick up an unfamiliar service, make it observable and hand back a runbook matter more than matching every line.

• Not a ticket-queue operator. Recurring requests get turned into self-service, not processed one by one forever.
• Not a pure cloud or Kubernetes role. Bare metal and virtual machines are a large part of our infrastructure.
• Not the DBA, the network engineer or the security engineer. Those teams run their own systems; we provide the platform they monitor them with.

• A focus on professional development.
• Interesting and challenging projects.
• Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
• Compensation for private medical insurance.
• Co-working and gym/sports reimbursement.
• Budget for education.
• The opportunity to receive a reward for the most innovative idea that the company can patent.

By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (https://cloudlinux.com/candidate-privacy-notice), which provides detailed information on how we maintain and handle your data.