Описание

The company is redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. The mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation. As a Platform Engineer, the person in this role will be responsible for designing, building, and maintaining the core platform that powers the company's cloud product and supports its open-source core at scale. The primary focus will be reliability, scalability, performance, and developer productivity across the company's infrastructure and internal platforms. The role involves working closely with Core and Platform engineers to ensure the platform runs efficiently in production environments and provides a seamless experience for internal teams.

Responsibilities

Designing and maintaining cloud-native infrastructure for a globally distributed analytics platform.
Building internal platform tooling to improve developer velocity, observability, and deployment safety.
Scaling multi-tenant systems that serve large volumes of analytical queries with strict latency requirements.
Improving reliability, fault tolerance, and disaster recovery for the cloud platform.
Operating Kubernetes-based environments and evolving deployment and release pipelines.
Implementing monitoring, alerting, and incident response practices for a high-availability system.

Requirements

Strong experience with cloud infrastructure (AWS, GCP, or similar).
Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent).
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 programming language used for platform development (Go, Rust, TypeScript, Python, or similar).
Familiarity with CI/CD systems and release automation.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.).
Good communication skills and ability to work effectively in a remote, async environment.
Fluent English.

Nice to have

Background in security best practices for cloud platforms.
Experience operating data-intensive or analytics-heavy platforms.
Hands-on use of AI coding tools (Claude Code, Cursor, Copilot, or similar) in day-to-day engineering workflow.
Contributions to open-source infrastructure or platform projects.

We offer

The company is fully remote, with team members working from anywhere in a highly collaborative environment.

Hiring process

Please complete and submit the application form