Senior Full-Stack Engineer, Observability
# Senior Full-Stack Engineer, Observability **FastCTO** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[React]` `[TypeScript]` `[Python]` `[Go]` `[Kafka]` `[RabbitMQ]` `[Docker]` `[Kubernetes]` `[REST]` `[AI]` --- ### About the Role - 5+ years of professional software engineering experience. - Strong production experience in both backend and frontend development. - Strong proficiency in Go or Python, with working knowledge of the other. - Strong React and TypeScript skills. - Hands-on experience with gRPC, Protocol Buffers, and REST APIs. - Experience with distributed systems, microservices, and event-driven architectures. - Knowledge of Kafka, RabbitMQ, or similar messaging technologies. - Experience building monitoring, analytics, or real-time dashboards. - Familiarity with data visualization libraries (D3, Recharts, ECharts, etc.). - Experience with automated testing and CI/CD. - Practical use of AI coding tools (Claude Code, Cursor, GitHub Copilot). - Strong communication and collaboration skills. As a Full Stack Engineer, you'll own features end to end, from backend services to customer-facing monitoring dashboards. Responsibilities: - Build scalable backend services using Go and Python. - Design and maintain gRPC and REST APIs. - Develop React/TypeScript dashboards for real-time network monitoring and analytics. - Work with distributed systems, telemetry pipelines, and event-driven architectures. - Optimize application performance, reliability, and scalability. - Write automated tests and contribute to CI/CD processes. - Use AI-powered development tools to improve engineering workflows. - Collaborate with product, design, and engineering teams. - Participate in code reviews, architectural decisions, and production support. Success means delivering reliable, performant features that solve real customer problems. Nice to have: - Knowledge of networking protocols: TCP/IP, DNS, BGP, OSPF, VLANs, SNMP, gNMI. - Experience with network automation tools or NetBox. - Familiarity with OpenTelemetry, Prometheus, Grafana, or time-series databases. - Experience with Kubernetes, Docker, and cloud infrastructure. - Knowledge of high-frequency telemetry processing and visualization. - Experience building Grafana plugins or customizable dashboards. - Familiarity with network discovery and device management. - Experience integrating LLM APIs or building AI-powered features. - Knowledge of MCP, AI agents, or agentic development workflows.
Наблюдалась 2026-10-13, впервые 2026-10-12, источник — Get on Board (LATAM).