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Cloud / Platform Engineer (Remote) at Alex Staff Agency
, , Germany -
Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Infrastructure, Kubernetes, Terraform, Python, Bash, Go, Incident Handling, Production Reliability

Industry

Staffing and Recruiting

Description
About the Company & Product A USA based product EdTech company with over 20 years on the market. The company builds and operates cloud platforms for digital learning content, used daily by millions of students and educators worldwide. The product is global, high-load, and runs on a distributed cloud infrastructure with a mature engineering culture. About the Role We are looking for a Cloud / Platform Engineer to join the Systems Engineering team. This role is focused on production reliability, Kubernetes, and cloud infrastructure, not just CI/CD. Responsibilities Support and develop AWS or GCP infrastructure (multi-region). Operate and troubleshoot Kubernetes platforms. Manage infrastructure using Infrastructure as Code (Terraform). Ensure system uptime, performance, and monitoring. Participate in on-call rotations, incident response, and post-mortems. Collaborate closely with software engineering teams. 3+ years of experience with cloud infrastructure. Hands-on production experience with real users. Strong Kubernetes experience (operations, not just deployments). Terraform and automation (Python / Bash / Go). Experience with on-call and incident handling. Fluent Russian or Ukrainian; working English. Stable US product company with a long-term vision. Fully remote work. Mature, blame-free engineering culture. Modern tech stack and global-scale systems. Learning and growth opportunities. Competitive compensation. Location: Europe / Eastern Europe / CIS Languages: Russian or Ukrainian (required), English (working level)
Responsibilities
The Cloud / Platform Engineer will support and develop AWS or GCP infrastructure and operate and troubleshoot Kubernetes platforms. They will also manage infrastructure using Infrastructure as Code and ensure system uptime, performance, and monitoring.