platform engineer for analytics infrastructure

The company builds an open-source data and analytics platform that provides organizations with a shared semantic foundation for analytics across teams, tools, and AI agents. Its platform supports autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.

• Design and maintain cloud-native infrastructure for a globally distributed analytics platform
• Build internal platform tooling to improve developer velocity, observability, and deployment safety
• Scale multi-tenant systems serving large volumes of analytical queries with strict latency requirements
• Improve reliability, fault tolerance, and disaster recovery for the cloud platform
• Operate Kubernetes-based environments and evolve deployment and release pipelines
• Implement monitoring, alerting, and incident response practices for a high-availability system

• Strong experience with cloud infrastructure such as AWS or GCP
• Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code tools such as Terraform
• Solid understanding of distributed systems, networking, and Linux internals
• Experience building and operating production systems with high availability and performance requirements
• Proficiency in at least one platform development language: Go, Rust, TypeScript, Python, or similar
• Familiarity with CI/CD systems and release automation
• Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry
• Good communication skills and ability to work effectively in a remote, async environment
• Fluent English
• Будет плюсом: cloud platform security best practices, operating data-intensive or analytics-heavy platforms, hands-on use of AI coding tools such as Claude Code, Cursor, or Copilot, contributions to open-source infrastructure or platform projects

• Salary after interview