- 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.
What we offer:
- Fully remote opportunity with an international engineering team.
- Opportunity to work with a US-based technology company.
- Challenging projects involving distributed systems, network automation, and observability.
- Modern technology stack: Go, Python, React, TypeScript, and AI development tools.
- Opportunity to influence architecture and technical decisions.
- Collaborative environment with experienced engineers.
- Professional growth and opportunities to take ownership of complex technical projects.
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