AI Infrastructure Platform Engineer
# AI Infrastructure Platform Engineer **Niuro** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role - 5+ years of experience in platform engineering, DevOps, or Site Reliability Engineering (SRE). - C1 English level or higher. - Strong hands-on experience with Kubernetes, containerization, and cloud infrastructure (AWS and/or Azure). - Deep expertise in Infrastructure as Code using Terraform, including module design and CI/CD integration. - Solid Linux/Unix skills and comfort working primarily via CLI — bash/zsh, SSH, DNS, routing, and network diagnostics. - Active use of LLM-based development tools (e.g., Claude Code, Gemini CLI) in your daily engineering workflow. - Proven ability to take a complex infrastructure problem from ambiguity to a fully adopted, production-grade solution. Skills - Kubernetes - Terraform - AWS - Azure - Linux - Bash - Docker - CI/CD - LLM Tooling - Networking - Own and deliver platform components end-to-end, including Terraform modules, Kubernetes capabilities, cloud patterns, and CI/CD workflows. - Design and build self-service infrastructure workflows and internal developer tools — APIs, CLIs, or agent-accessible interfaces — that remove manual bottlenecks for engineering teams. - Create observable, feedback-rich platforms that enable automated systems to self-correct and give teams real visibility into what's happening. - Implement guardrails, secrets hygiene, and audit trails to maintain security and safety at scale. - Produce clear documentation and runbooks that serve both human developers and AI agent operations. - Present and drive adoption of new platform capabilities across engineering teams through strong developer UX and proactive collaboration. - GitOps - ArgoCD - FluxCD - Helm - OPA - Conftest - API Design - MCP Integration - Observability
Наблюдалась 2026-10-16, впервые 2026-10-15, источник — Get on Board (LATAM).